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m6A epitranscriptomic modification regulates neural progenitor-to-glial cell transition in the retina N6-methyladenosine (m6A) is the most prevalent mRNA internal modification and has been shown to regulate the development, physiology and pathology of various tissues. However, the functions of the m6A epitranscriptome in the visual system remain unclear. In this study, using a retina-specific conditional knockout mouse model, we show that retinas deficient in Mettl3, the core component of the m6A methyltransferase complex, exhibit structural and functional abnormalities beginning at the end of retinogenesis. Immunohistological and scRNA-seq analyses of retinogenesis processes reveal that retinal progenitor cells (RPCs) and Muller glial cells are the two cell types primarily affected by Mettl3 deficiency. Integrative analyses of scRNA-seq and MeRIP-seq data suggest that m6A fine-tunes the transcriptomic transition from RPCs to Muller cells by promoting the degradation of RPC transcripts, the disruption of which leads to abnormalities in late retinogenesis and compromises the glial functions of Muller cells. Finally, overexpression of m6A-regulated RPC-enriched transcripts in late RPCs partially recapitulates the Mettl3- deficient retinal phenotype. Collectively, our study reveals an epitranscriptomic mechanism governing progenitor-to-glial cell transition during late retinogenesis, which is essential for the homeostasis of the mature retina. The mechanism revealed in this study might also apply to other nervous systems. | developmental biology |
Human variation impacting MCOLN2 restricts Salmonella Typhi replication by magnesium deprivation Human genetic diversity can reveal critical factors in host-pathogen interactions. This is especially useful for human-restricted pathogens like Salmonella enterica serovar Typhi (S. Typhi), the cause of Typhoid fever. One key dynamic during infection is competition for nutrients: host cells attempt to restrict intracellular replication by depriving bacteria of key nutrients or delivering toxic metabolites in a process called nutritional immunity. Here, a cellular genome-wide association study of intracellular replication by S. Typhi in nearly a thousand cell lines from around the world--and extensive follow-up using intracellular S. Typhi transcriptomics and manipulation of magnesium concentrations--demonstrates that the divalent cation channel mucolipin-2 (MCOLN2) restricts S. Typhi intracellular replication through magnesium deprivation. Our results reveal natural diversity in Mg2+ limitation as a key component of nutritional immunity against S. Typhi. | genetics |
MuSiC2: cell type deconvolution for multi-condition bulk RNA-seq data Cell type composition of intact bulk tissues can vary across samples. Deciphering cell type composition and its changes during disease progression is an important step towards understanding disease pathogenesis. To infer cell type composition, existing cell type deconvolution methods for bulk RNA-seq data often require matched single-cell RNA-seq (scRNA-seq) data, generated from samples with similar clinical conditions, as reference. However, due to the difficulty of obtaining scRNA-seq data in diseased samples, only limited scRNA-seq data in matched disease conditions are available. Using scRNA-seq reference to deconvolve bulk RNA-seq data from samples with different disease conditions may lead to biased estimation of cell type proportions. To overcome this limitation, we propose an iterative estimation procedure, MuSiC2, which is an extension of MuSiC [1], to perform deconvolution analysis of bulk RNA-seq data generated from samples with multiple clinical conditions where at least one condition is different from that of the scRNA-seq reference. Extensive benchmark evaluations indicated that MuSiC2 improved the accuracy of cell type proportion estimates of bulk RNA-seq samples under different conditions as compared to the traditional MuSiC [1] deconvolution. MuSiC2 was applied to two bulk RNA-seq datasets for deconvolution analysis, including one from human pancreatic islets and the other from human retina. We show that MuSiC2 improves current deconvolution methods and provides more accurate cell type proportion estimates when the bulk and single-cell reference differ in clinical conditions. We believe the condition-specific cell type composition estimates from MuSiC2 will facilitate downstream analysis and help identify cellular targets of human diseases. | genomics |
Specific binding of Hsp27 and phosphorylated Tau mitigates abnormal Tau aggregation-induced pathology Amyloid aggregation of phosphorylated Tau (pTau) into neurofibrillary tangles is closely associated with Alzheimers disease (AD). Several molecular chaperones have been reported to bind Tau and impede its pathological aggregation. Recent findings of elevated levels of Hsp27 in the brains of patients with AD suggested its important role in pTau pathology. However, the molecular mechanism of Hsp27 in pTau aggregation remains poorly understood. Here, we show that Hsp27 partially co-localizes with pTau tangles in the brains of patients with AD. Notably, phosphorylation of Tau by microtubule affinity regulating kinase 2 (MARK2), dramatically enhances the binding affinity of Hsp27 to Tau. Moreover, Hsp27 efficiently prevents pTau fibrillation in vitro and mitigates neuropathology of pTau aggregation in a Drosophila tauopathy model. Further mechanistic study reveals that Hsp27 employs its N-terminal domain to directly interact with multiple phosphorylation sites of pTau for specific binding. Our work provides the structural basis for the specific recognition of Hsp27 to pathogenic pTau, and highlights the important role of Hsp27 in preventing abnormal aggregation and pathology of pTau in AD. | biochemistry |
Characterization of a nanobody-epitope tag interaction and its application for receptor engineering Peptide epitope tags offer a valuable means for detection and manipulation of protein targets for which high quality detection reagents are not available. Most commonly used epitope tags are bound by conventional, full-size antibodies (Abs). The complex architecture of Abs complicates their application in protein engineering and intracellular applications. To address these shortcomings, single domain antibodies (nanobodies, Nbs) that recognize short peptide epitopes have become increasingly prized. Here we characterize the interaction between a Nb (Nb6E) and a 14-mer peptide epitope. We identify residues in the peptide epitope essential for high affinity binding. Using this information in combination with computational modeling we propose a mode of interaction between Nb6E and this epitope. We apply this nanobody-epitope pair to augment the potency of a ligand at an engineered adenosine A2A receptor. This characterization of the nanobody-epitope pair opens the door to diverse applications including mechanistic studies of G protein-coupled receptor function. | biochemistry |
Attention-wise masked graph contrastive learning for predicting molecular property Accurate and efficient prediction of the molecular property is one of the fundamental problems in drug research and development. Recent advancements in representation learning have been shown to greatly improve the performance of molecular property prediction. However, due to limited labeled data, supervised learning-based molecular representation algorithms can only search limited chemical space and suffer from poor generalizability. In this work, we proposed a self-supervised learning method, ATMOL, for molecular representation learning and properties prediction. We developed a novel molecular graph augmentation strategy, referred to as attention-wise graph masking, to generate challenging positive samples for contrastive learning. We adopted the graph attention network (GAT) as the molecular graph encoder, and leveraged the learned attention weights as masking guidance to generate molecular augmentation graphs. By minimization of the contrastive loss between original graph and augmented graph, our model can capture important molecular structure and higher-order semantic information. Extensive experiments showed that our attention-wise graph mask contrastive learning exhibited state-of-the-art performance in a couple of downstream molecular property prediction tasks. We also verified that our model pretrained on larger scale of unlabeled data improved the generalization of learned molecular representation. Moreover, visualization of the attention heatmaps showed meaningful patterns indicative of atoms and atomic groups important to specific molecular property. | bioinformatics |
A framework for summarizing chromatin state annotations within and identifying differential annotations across groups of samples Motivation: Genome-wide maps of epigenetic modifications are powerful resources for non-coding genome annotation. Maps of multiple epigenetics marks have been integrated into cell or tissue type-specific chromatin state annotations for many cell or tissue types. With the increasing availability of multiple chromatin state maps for biologically similar samples, there is a need for methods that can effectively summarize the information about chromatin state annotations within groups of samples and identify differences across groups of samples at a high resolution. Results: We developed CSREP, which takes as input chromatin state annotations for a group of samples and then probabilistically estimates the state at each genomic position and derives a representative chromatin state map for the group. CSREP uses an ensemble of multi-class logistic regression classifiers to predict the chromatin state assignment of each sample given the state maps from all other samples. The difference of CSREP s probability assignments for two groups can be used to identify genomic locations with differential chromatin state patterns. Using groups of chromatin state maps of a diverse set of cell and tissue types, we demonstrate the advantages of using CSREP to summarize chromatin state maps and identify biologically relevant differences between groups at a high resolution. Availability and implementation: The CSREP source code is openly available under http://github.com/ernstlab/csrep. | bioinformatics |
Integrated Analysis of Tissue-specific Gene Expression in Diabetes by Tensor Decomposition-based Unsupervised Feature Extraction with Standard Deviation Optimization Can Identify Possible Associated Diseases. In the field of gene expression analysis, methods of integrating multiple gene expression profiles are still being developed and the existing methods have scope for improvement. The previously proposed tensor decomposition-based unsupervised feature extraction method was improved by introducing standard deviation optimization. The improved method was applied to perform an integrated analysis of three tissue-specific gene expression profiles (namely, adipose, muscle, and liver) for diabetes mellitus, and the results showed that it can detect diseases that are associated with diabetes (e.g., neurodegenerative diseases) but that cannot be predicted by individual tissue expression analyses using state-of-the-art methods. Although the selected genes differed from those identified by the individual tissue analyses, the selected genes are known to be expressed in all three tissues. Thus, compared with individual tissue analyses, an integrated analysis can provide more in-depth data and identify additional factors, namely, the association with other diseases. | bioinformatics |
Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems Theoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from recent advances in theoretical ecology, can be used to describe population dynamics generated by a specific family of IBMs, namely spatio-temporal point processes (STPPs). SCMs are spatially resolved population models formulated by a system of ordinary differential equations that approximate the dynamics of two STPP-generated summary statistics: first order spatial cumulants (densities), and second order spatial cumulants (spatial covariances). Here, we exemplify how SCMs can be used in mathematical oncology by modelling a theoretical cancer cell population comprising interacting growth factor producing and non-producing cells. To formulate our models, we use the Unified Framework Software which was recently developed by Cornell et al. (2019) and enables the generation of STPPs, SCMs and mean-field population models (MFPMs) from user-defined model descriptions. Our results demonstrate that SCMs can capture STPP-generated population density dynamics, even when MFPMs fail to do so. From both MFPM and SCM equations, we derive treatment-induced cell death rates required to achieve non-growing cell populations. When testing these treatment strategies in STPP-generated cell populations, our results demonstrate that SCM-informed strategies outperform MFPM-informed strategies in terms of inhibiting population growths. We argue that SCMs provide a new framework in which to study cell-cell interactions, and can be used to deepen the mathematical analysis of IBMs and thereby increase IBMs' applicability in cancer research. | cancer biology |
Intracortical remodelling increases in highly-loaded bone after exercise cessation Resorption within cortices of long bones removes excess mass and damaged tissue, and increases during periods of reduced mechanical loading. Returning to high-intensity exercise may place bones at risk of failure due to increased porosity caused by bone resorption. We used microradiographic images of bone slices from highly-loaded (metacarpal, tibia, humerus) and minimally-loaded (rib) bones from 12 racehorses, 6 in active high-intensity exercise and 6 in a period of rest following intense exercise, and measured intracortical canal cross-sectional area (Ca.Ar) and number (N.Ca) to infer remodelling activity across sites and exercise groups. Large canals representing resorption spaces (Ca.Ar > 0.04 mm2 were 5- to 18-fold greater in number and area in the third metacarpal bone from rested than exercised animals (p = 0.005-0.008), but were similar in number and area in ribs from rested and exercised animals (p = 0.575-0.688). A weaker, intermediate relationship was present in tibia and humerus, and when resorption spaces and partially-infilled canals (Ca.Ar > 0.002 mm2) were considered together. The mechanostat may override targeted remodelling during periods of high mechanical load by enhancing bone formation, reducing resorption and suppressing turnover, but both systems may work synergistically in rest periods to remove excess and damaged tissue. | physiology |
Characteristics and Impact of the rNST GABA Network on Neural and Behavioral Taste Responses The rostral nucleus of the solitary tract (rNST), the initial CNS site for processing gustatory information, is comprised of two major cell types, glutamatergic excitatory and GABAergic inhibitory neurons. Many investigators have described taste responses of rNST neurons, but the phenotypes of these cells were unknown. The current investigation used mice expressing ChR2 under the control of GAD65, a synthetic enzyme for GABA. In vivo single-unit recording of rNST cells during optogenetic stimulation allowed us to address two important questions: (1) what are the gustatory response characteristics of 'optotagged', putative GABAergic (G+TASTE) neurons? and (2) how does optogenetic activation of the rNST GABA network impact taste responses in non-GABAergic (G-TASTE) neurons? We observed that chemosensitive profiles of G+TASTE neurons were similar to non-GABA taste neurons but had much lower response rates. We further observed that there was a population of GABA cells unresponsive to taste stimulation (G+UNR) and located more ventrally in the nucleus. Activating rNST inhibitory circuitry suppressed gustatory responses of G-TASTE neurons across all qualities and types of chemosensitive neurons. Tuning curves were modestly sharpened but the overall shape of response profiles and the ensemble pattern remained highly stable. These neurophysiological effects were consistent with the behavioral consequences of activating GAD65-expressing inhibitory neurons using DREADDs. In a brief-access licking task, concentration-response curves to both palatable (sucrose, maltrin) and unpalatable (quinine) stimuli were shifted to the right when GABA neurons were activated. Thus, the rNST GABAergic network is poised to modulate taste intensity across the qualitative and hedonic spectrum. | neuroscience |
Adversarial interspecies relationships facilitate population suppression by gene drive in spatially explicit models Suppression gene drives are designed to bias their inheritance and increase in frequency in a population, disrupting an essential gene in the process. When the frequency is high enough, the population will be unable to reproduce above the replacement level and could be eliminated. CRISPR suppression drives based on the homing mechanism have already seen success in the laboratory, particularly in malaria mosquitoes. However, several models predict that the use of these drives in realistic populations with spatial structure may not achieve complete success. This is due to the ability of wild-type individuals to escape the drive and reach empty areas with reduced competition, allowing them to achieve high reproductive success and leading to extinction-recolonization cycles across the landscape. Here, we extend our continuous space gene drive framework to include two competing species or predator-prey species pairs. We find in both discrete-generation and mosquito-specific models that the presence of a competing species or predator can greatly facilitate drive-based suppression, even for drives with modest efficiency. However, the presence of a competing species also substantially increases the frequency of outcomes in which the drive is lost before suppression is achieved. These results are robust in models with seasonal population fluctuations. We also found that suppression can be somewhat more difficult if targeting a predator with strong predator-prey interactions. Our results illustrate the difficulty of predicting outcomes of interventions that could substantially affect the populations of interacting species in complex ecosystems. However, our results are also potentially promising for the prospects of less powerful gene drives in achieving successful elimination of target pest populations. | ecology |
Resting-state network hubs are causally required in memory consolidation Resting-state networks (RSNs) detected by fMRI have been associated with cognitive function, providing insights to the relationship between brain and behavior. However, whether altered RSNs are epiphenomena or essential constructs of behavior remains unclear. Here we investigated whether post-encoding RSN hubs that are commonly engaged after similar tasks or integrate distributed areas into large networks are causally involved in memory consolidation. RSN changes following two types of spatial memory training in mice, allowing us to distinguish post-encoding hubs related to spatial memory, and verify their behavioral impact by hub inhibition. We found that functional connectivity with sensory areas was commonly strengthened in both tasks whereas frontal and striatal areas were influential in network integration. Chemogenetic suppression of each hub after learning resulted in retrograde amnesia. These results demonstrate causal and functional roles of RSN hubs in system consolidation and validate fMRI as a means to track this process. | animal behavior and cognition |
Assembly-free discovery of human novel sequences using long reads DNA sequences that are absent in the human reference genome are classified as novel sequences. The discovery of these missed sequences is crucial for exploring the genomic diversity of populations and understanding the genetic basis of human diseases. However, various DNA lengths of reads generated from different sequencing technologies can significantly affect the results of novel sequences. In this work, we designed an Assembly-Free Novel Sequence (AF-NS) approach to identify novel sequences from Oxford Nanopore Technology long reads. Among the newly detected sequences using AF-NS, more than 95% were omitted from those using long-read assemblers, and 85% were not present in short reads of Illumina. We identified the common novel sequences among all the samples and revealed their association with the binding motifs of transcription factors. Regarding the placements of the novel sequences, we found about 70% enriched in repeat regions and generated 430 for one specific subpopulation that might be related to their evolution. Our study demonstrates the advance of the Assembly-Free approach to capture more novel sequences over other assembler-based methods. Combining the long-read data with powerful analytical methods can be a robust way to improve the completeness of novel sequences. | bioinformatics |
MAGNETO: an automated workflow for genome-resolved metagenomics Metagenome-Assembled Genomes (MAGs) represent individual genomes recovered from metagenomic data. MAGs are extremely useful to analyse uncultured microbial genomic diversity, as well as to characterize associated functional and metabolic potential in natural environments. Recent computational developments have considerably improved MAGs reconstruction but also emphasized several limitations, such as the non-binning of sequence regions with repetitions or distinct nucleotidic composition. Different assembly and binning strategies are often used, however, it still remains unclear which assembly strategy in combination with which binning approach, offers the best performance for MAGs recovery. Several workflows have been proposed in order to reconstruct MAGs, but users are usually limited to single-metagenome assembly or need to manually define sets of metagenomes to co-assemble prior to genome binning. Here, we present MAGNETO, an automated workflow dedicated to MAGs reconstruction, which includes a fully-automated co-assembly step informed by optimal clustering of metagenomic distances, and implements complementary genome binning strategies, for improving MAGs recovery. MAGNETO is implemented as a Snakemake workflow and is available at: https://gitlab.univ-nantes.fr/bird_pipeline_registry/magneto. | bioinformatics |
Cryo-EM structure of gas vesicles for buoyancy-controlled motility Gas vesicles allow a diverse group of bacteria and archaea to move in the water column by controlling their buoyancy. These gas-filled cellular nanocompartments are formed by up to micrometers long protein shells that are permeable only to gas. The molecular basis of their unique properties and mechanism of assembly remains unknown. Here, we solve the 3.2 [A] cryo-EM structure of the B.megaterium gas vesicle shell made from the structural protein GvpA that self-assembles into hollow helical cylinders closed off by cone-shaped tips. Remarkably, the unique fold adopted by GvpA generates a corrugated cylinder surface typically found in force-bearing thin-walled structures. We identified pores in the vesicle wall that enable gas molecules to freely diffuse in and out of the GV shell, while the exceptionally hydrophobic interior surface effectively repels water. Our results show that gas vesicles consist of two helical half-shells connected through a unique arrangement of GvpA monomers, suggesting a mechanism of gas vesicle biogenesis. Comparative structural analysis confirms the evolutionary conservation of gas vesicle assemblies and reveals molecular details of how the secondary structural protein GvpC reinforces the GvpA shell. Our findings provide a structural framework that will further research into the biology of gas vesicles, and enable rational molecular engineering to harness their unique properties for acoustic imaging. | biophysics |
Multi-policy models of interregional communication in the human connectome Network models of communication, e.g. shortest paths, diffusion, navigation, have become useful tools for studying structure-function relationships in the brain. These models generate estimates of communication efficiency between all pairs of brain regions, which can then be linked to the correlation structure of recorded activity, i.e. functional connectivity (FC). At present, however, communication models have a number of limitations, including difficulty adjudicating between models and the absence of a generic framework for modeling multiple interacting communication policies at the regional level. Here, we present a framework that allows us to incorporate multiple region-specific policies and fit them to empirical estimates of FC. Briefly, we show many communication policies, including shortest paths and greedy navigation, can be modeled as biased random walks, enabling these policies to be incorporated into the same multi-policy communication model alongside unbiased processes, e.g. diffusion. We show that these multi-policy models outperform existing communication measures while yielding neurobiologically interpretable regional preferences. Further, we show that these models explain the majority of variance in time-varying patterns of FC. Collectively, our framework represents an advance in network-based communication models and establishes a strong link between these patterns and FC. Our findings open up many new avenues for future inquiries and present a flexible framework for modeling anatomically-constrained communication. | neuroscience |
Comparative brain structure and the neural network features of cuttlefish and squid Cuttlefishes, like their octopus cousins, are masters of camouflage by control of body pattern and skin texture to blend in with their surroundings for prey ambush and threat avoidance. Aside from significant progress on the cuttlefish visual perception and communication, a growing number of studies have focused on their behavioural neurobiology and the remarkably rapid and apparently cognitively complex reactions to novel challenges such as spatial learning to solve maze tasks and vertebrate-like cognitive capabilities (e.g. object recognition, number sense and episodic-like memory). Despite intense interest of cuttlefish, much of our knowledge of its neuroanatomy and links to behaviour and ecology comes from one temperate species, the European common cuttlefish, Sepia officinalis. Here we present the first detailed comparison of neuroanatomical features between the tropical cuttlefish and squid and describe differences in basic brain and wiring anatomy using MRI-based techniques and conventional histology. Furthermore, comparisons amongst nocturnal and diurnal cuttlefish species suggest that the characteristic neuroanatomical features infer interspecific variation in visual capabilities, the importance of vision relative to the less utilised chemosensory system and clear links with life modes (e.g. diurnal vs nocturnal), ecological factors (e.g. living depth and ambient light condition) as well as to an extent, phylogeny. These findings link brain heterogeneity to ecological niches and lifestyle, feeding hypotheses around evolutionary history and provide a timely, new technology update to older literature. | neuroscience |
Closed-loop and automatic tuning of pulse amplitude and width in EMG-guided controllable transcranial magnetic stimulation (cTMS) This paper proposes a tool for automatic and optimal tuning of pulse amplitude and width for sequential parameter estimation (SPE) of the membrane time constant and input-output curve in closed-loop electromyography-guided (EMG-guided) controllable transcranial magnetic stimulation (cTMS). A normalized depolarization factor is defined which separates the optimization of the pulse amplitude and width. Then, the pulse amplitude is chosen by the maximization of the Fisher information matrix (FIM), while the pulse width is chosen by the maximization of the normalized depolarization factor. The simulation results confirm satisfactory estimation. The results show that the normalized depolarization factor maximization can identify the critical pulse width, which is an important parameter in the identifiability analysis, without any prior neurophysiological or anatomical knowledge of the neural membrane. | neuroscience |
Two complete genomes of male-killing Wolbachia infecting Ostrinia moth species illuminate their evolutionary dynamics and association with hosts Wolbachia is an extremely widespread endocellular symbiont which causes reproductive manipulation on various arthropod hosts. Male progenies are killed in Wolbachia-infected lineages of the Japanese Ostrinia moth population. While the mechanism of male killing and the evolutionary interaction between host and symbiont are significant concerns for this system, the absence of Wolbachia genomic information has limited approaches to these issues. We determined the complete genome sequences of wFur and wSca, the male-killing Wolbachia of O. furnacalis and O. scapulalis. The two genomes shared an extremely high degree of homology, with over 95% of the predicted protein sequences being identical. A comparison of these two genomes revealed nearly minimal genome evolution, with a strong emphasis on the frequent genome rearrangements and the rapid evolution of ankyrin repeat-containing proteins. Additionally, we determined the mitochondrial genomes of both species' infected lineages and performed phylogenetic analyses to deduce the evolutionary dynamics of Wolbachia infection in the Ostrinia clade. According to the inferred phylogenetic relationship, Wolbachia infection was established in the Ostrinia clade prior to the speciation of related species such as O. furnacalis and O. scapulalis. Simultaneously, the relatively high homology of mitochondrial genomes suggested recent Wolbachia introgression between infected Ostrinia species. The findings of this study collectively shed light on the host-symbiont interaction from an evolutionary standpoint. | microbiology |
Spontaneously produced lysogenic phages are an important component of the soybean Bradyrhizobium mobilome The ability to nodulate and fix atmospheric nitrogen in soybean root nodules makes soybean Bradyrhizobium spp. (SB) critical in supplying humanity's nutritional needs. The intricacies of SB-plant interactions have been studied extensively; however, bradyrhizobial ecology as influenced by phages has received somewhat less attention even though these interactions may significantly impact soybean yield. In batch culture four SB strains, S06B (B. japonicum, S06B-Bj), S10J (B. japonicum, S10J-Bj), USDA 122 (B. diazoefficiens, USDA 122-Bd), and USDA 76T (B. elkanii, USDA 76-Be), spontaneously (without apparent exogenous chemical or physical induction) produced phages throughout the growth cycle; for three strains, phage concentrations exceeded cell numbers by ca. 3-fold after 48 h incubation. Observed spontaneously produced phages (SPP) were tailed. Phage terminase large-subunit protein phylogeny revealed possible differences in phage packaging and replication mechanisms. Bioinformatic analyses predicted multiple prophage regions within each SB genome preventing accurate identification of SPP genomes. A DNA sequencing approach was developed that accurately delineated the boundaries of four SPP genomes within three of the SB chromosomes. Read mapping suggested that the SPP are capable of transduction. In addition to the phages, bacterial strains S06B-Bj and USDA 76-Be were rich in mobile elements consisting of insertion sequences (IS) and large, conjugable, broad host range plasmids. The prevalence of SPP along with IS and plasmids indicate that horizontal gene transfer likely plays an outsized role in SB ecology and may subsequently impact soybean productivity. Importance: Previous studies have shown that IS and plasmids mediate horizontal gene transfer (HGT) of symbiotic nodulation (nod) genes in SB; however, these events require close cell to cell contact which could be limited in soil environments. Bacteriophage assisted gene transduction through spontaneously produced prophages could provide stable means of HGT not limited by the constraints of proximal cell to cell contact. Phage mediated HGT events could be important in SB population ecology with concomitant impacts on soybean agriculture. | microbiology |
Skeletal muscle cells derived from induced pluripotent stem cells: a platform for limb girdle muscular dystrophies. Limb-girdle muscular dystrophies (LGMD), caused by mutations in 29 different genes, are the fourth most prevalent group of genetic muscle diseases, leading to progressive weakness and atrophy of the skeletal muscles. Although the link between LGMD and their genetic origins has been determined, LGMD still represent an unmet medical need. In this paper, we describe a platform for modeling LGMD based on the use of human induced pluripotent stem cells (hiPSC). Thanks to the self-renewing and pluripotency properties of hiPSC, this platform provides an alternative and renewable source of skeletal muscle cells (skMC) to primary, immortalized or overexpressing cells. We report that skMC derived from hiPSC express the majority of the genes and proteins causing LGMD. As a proof of concept, we demonstrate the importance of this cellular model for studying LGMDR9 by evaluating disease-specific phenotypes in skMC derived from hiPSC obtained from four patients. | cell biology |
Evolution and diversity of the TopoVI and TopoVI-like subunits with extensive divergence of the TOPOVIBL subunit Type II DNA topoisomerases regulate topology by double-stranded DNA cleavage and ligation. The TopoVI family of DNA topoisomerase, first identified and biochemically characterized in Archaea, represents, with TopoVIII and mini-A, the type IIB family. TopoVI has several intriguing features in terms of function and evolution. TopoVI has been identified in some eucaryotes, and a global view is lacking to understand its evolutionary pattern. In addition, in eucaryotes, the two TopoVI subunits (TopoVIA and TopoVIB) have duplicated and evolved to give rise to Spo11 and TopoVIBL, forming TopoVI-like (TopoVIL), a complex essential for generating DNA breaks that initiation homologous recombination during meiosis. TopoVIL is essential for sexual reproduction. How the TopoVI subunits have evolved to ensure this meiotic function is unclear. Here, we investigated the phylogenetic conservation of TopoVI and TopoVIL. We demonstrate that BIN4 and RHL1, potentially interacting with TopoVIB, have co-evolved with TopoVI. Based on model structures, this observation supports the hypothesis for a role of TopoVI in decatenation of replicated chromatids and predicts that in eucaryotes the TopoVI catalytic complex includes BIN4 and RHL1. For TopoVIL, the phylogenetic analysis of Spo11, which is highly conserved among Eukarya, highlighted a eukaryal-specific N-terminal domain that may be important for its regulation. Conversely, TopoVIBL was poorly conserved and rapidly evolving, giving rise to ATP hydrolysis-mutated or -truncated protein variants, or was undetected in some species. This remarkable plasticity of TopoVIBL provides important information for the activity and function of TopoVIL during meiosis. | evolutionary biology |
Population genomics provide insights into the global genetic structure of Colletotrichum graminicola, the causal agent of maize anthracnose Background: Colletotrichum graminicola, the causal agent of maize anthracnose, is an important crop disease worldwide. Understanding the genetic diversity and mechanisms underlying genetic variation in pathogen populations is crucial to the development of effective control strategies. The genus Colletotrichum is largely recognized as asexual, but several species have been reported to have a sexual cycle. Here, we employed a population genomics approach to investigate the genetic diversity and reproductive biology of C. graminicola isolates infecting maize. We sequenced 108 isolates of C. graminicola collected in 14 countries using restriction site-associated DNA sequencing (RAD-Seq) and whole-genome sequencing (WGS). Results: Clustering analyses based on single-nucleotide polymorphisms showed populational differentiation at a global scale, with three genetic groups delimited by continental origin, compatible with short-dispersal of the pathogen, and geographic subdivision. Distinct levels of genetic diversity were observed between these clades, suggesting different evolutionary histories. Intra and inter-continental migration was predicted between Europe and South America, likely associated with the movement of contaminated germplasm. Low clonality and evidence of genetic recombination were detected from the analysis of linkage disequilibrium and the pairwise homoplasy index (PHI) test for clonality. We show evidence that even if rare (possibly due to losses of sex and meiosis-associated genes) C. graminicola can undergo sexual recombination based on lab assays and genomic analyses. Conclusions: Our results support hypotheses of intra and intercontinental pathogen migration and genetic recombination with great impact on C. graminicola population structure. | genomics |
Single-molecule architecture and heterogeneity of human telomeric DNA and chromatin Telomeres are essential for linear genomes, yet their repetitive DNA content and somatic variability has hindered attempts to delineate their chromatin architectures. We performed single-molecule chromatin fiber sequencing (Fiber-seq) on human cells with a fully resolved genome, enabling nucleotide-precise maps of the genetic and chromatin structure of all telomeres. Telomere fibers are predominantly comprised of three distinct chromatin domains that co-occupy individual DNA molecules - multi-kilobase telomeric caps, highly accessible telomeric-subtelomeric boundary elements, and subtelomeric heterochromatin. Extended G-rich telomere variant repeats (TVRs) punctuate nearly all telomeres, and telomere caps imprecisely bridge these degenerate repeats. Telomeres demonstrate pervasive somatic alterations in length, sequence, and chromatin composition, with TVRs and adjacent CTCF-bound promoters impacting their stability and composition. Our results detail the structure and function of human telomeres. | genomics |
Single-Cell RNAseq Analysis Reveals Robust Anti-PD-1-Mediated Increase of Immune Infiltrate in Metastatic Castration-Sensitive Prostate Cancer Compared to other malignancies, the tumor microenvironment (TME) of primary and castration-resistant prostate cancer (CRPC) is relatively devoid of immune infiltrates. While androgen deprivation therapy (ADT) induces a complex immune infiltrate in localized prostate cancer, both in animal models and humans, the TME composition of metastatic, castration-sensitive prostate cancer (mCSPC) is relatively unknown and the effects of ADT and other treatments are poorly characterized in this context. To address this challenge, we analyzed metastatic sites from patients enrolled on a phase 2 clinical trial (NCT03951831), in which men were treated with standard-of-care chemo-hormonal therapy with anti-PD-1 immunotherapy, at the single cell level. Longitudinal protein activity-based analysis of TME subpopulations identified immune subpopulations conserved across multiple metastatic sites, their dynamic, treatment-mediated evolution, and associated clinical response features. Our study revealed a therapy-resistant, transcriptionally distinct tumor subpopulation, which comprises an increasing number of cells in treatment-refractory patients, and identified several druggable targets in both tumor and immune cells as candidates to advance treatment and improve outcomes for patients with mCSPC. | cancer biology |
Reproducibility of in-vivo electrophysiological measurements in mice Understanding whole-brain-scale electrophysiological recordings will rely on the collective work of multiple labs. Because two labs recording from the same brain area often reach different conclusions, it is critical to quantify and control for features that decrease reproducibility. To address these issues, we formed a multi-lab collaboration using a shared, open-source behavioral task and experimental apparatus. We repeatedly inserted Neuropixels multi-electrode probes targeting the same brain locations (including posterior parietal cortex, hippocampus, and thalamus) in mice performing the behavioral task. We gathered data across 9 labs and developed a common histological and data processing pipeline to analyze the resulting large datasets. After applying stringent behavioral, histological, and electrophysiological quality-control criteria, we found that neuronal yield, firing rates, spike amplitudes, and task-modulated neuronal activity were reproducible across laboratories. To quantify variance in neural activity explained by task variables (e.g., stimulus onset time), behavioral variables (timing of licks/paw movements), and other variables (e.g., spatial location in the brain or the lab ID), we developed a multi-task neural network encoding model that extends common, simpler regression approaches by allowing nonlinear interactions between variables. We found that within-lab random effects captured by this model were comparable to between-lab random effects. Taken together, these results demonstrate that across-lab standardization of electrophysiological procedures can lead to reproducible results across labs. Moreover, our protocols to achieve reproducibility, along with our analyses to evaluate it are openly accessible to the scientific community, along with our extensive electrophysiological dataset with corresponding behavior and open-source analysis code. | neuroscience |
Single-cell profiling coupled with lineage analysis reveals distinct sacral neural crest contributions to the developing enteric nervous During development, the enteric nervous system (ENS) arises from neural crest cells that emerge from the neural tube, migrate to and along the gut, and colonize the entire intestinal tract. While much of the ENS arises from vagal neural crest cells that originate from the caudal hindbrain, there is a second contribution from the sacral neural crest that migrates from the caudal end of the spinal cord to populate the post-umbilical gut. By coupling single cell transcriptomics with axial-level specific lineage tracing in avian embryos, we compared the contributions between embryonic vagal and sacral neural crest cells to the ENS. The results show that the two neural crest populations form partially overlapping but also complementary subsets of neurons and glia in distinct ganglionic units. In particular, the sacral neural crest cells appear to be the major source of adrenergic/dopaminergic and serotonergic neurons, melanocytes and Schwann cells in the post-umbilical gut. In addition to neurons and glia, the results also reveal sacral neural crest contributions to connective tissue and mesenchymal cells of the gut. These findings highlight the specific properties of the sacral neural crest population in the hindgut and have potential implications for understanding development of the complex nervous system in the hindgut environment that may influence congenital neuropathies. | developmental biology |
Scaled-expansion of the membrane associated cytoskeleton requires conserved kinesin adaptors A periodic lattice of actin rings and spectrin tetramers scaffolds the axonal membrane. How spectrin is delivered to this structure to scale its size to that of the growing axon is unknown. We found that endogenous spectrin, visualized with singe axon resolution in vivo, is delivered to hotspots in the lattice that support its expansion at rates set by axon stretch-growth. Unlike other cytoskeletal proteins, whose apparent slow movement consists of intermittent bouts of fast movements, spectrin moves slowly and processively. We identified a pair of coiled coil proteins that mediate this slow movement and the expansion of the lattice by linking spectrin to kinesin-1. Thus, processive slow transport and local lattice incorporation support scaled cytoskeletal expansion during axon stretch-growth. | cell biology |
A new model of Notch signaling: Control of Notch receptor cis-inhibition via Notch ligand dimers All tissue development and replenishment relies upon the breaking of symmetries leading to the morphological and operational differentiation of progenitor cells into more specialized cells. One of the main engines driving this process is the Notch signal transduction pathway, a ubiquitous signalling system found in the vast majority of metazoan cell types characterized to date. Broadly speaking, Notch receptor activity is governed by a balance between two processes: 1) intercellular Notch transactivation triggered via interactions between receptors and ligands expressed in neighbouring cells; 2) intracellular cis inhibition caused by ligands binding to receptors within the same cell. Additionally, recent reports have also unveiled evidence of cis activation. Whilst context-dependent Notch receptor clustering has been hypothesized, to date, Notch signalling has been assumed to involve an interplay between receptor and ligand monomers. In this study, we demonstrate biochemically, through a mutational analysis of DLL4, both in vitro and in tissue culture cells, that Notch ligands can efficiently self-associate. We found that the membrane proximal EGF-like repeat of DLL4 was necessary and sufficient to promote oligomerization/dimerization. Mechanistically, our experimental evidence supports the view that DLL4 ligand dimerization is specifically required for cis-inhibition of Notch receptor activity. To further substantiate these findings, we have adapted and extended existing ordinary differential equation-based models of Notch signalling to take account of the ligand dimerization-dependent cis-inhibition reported here. Our new model faithfully recapitulates our experimental data and improves predictions based upon published data. Collectively, our work favours a model in which net output following Notch receptor/ligand binding results from ligand monomer-driven Notch receptor transactivation (and cis activation) counterposed by ligand dimer-mediated cis-inhibition. | cell biology |
Multi-color live-cell STED nanoscopy of mitochondria with a gentle inner membrane stain Capturing mitochondria's intricate and dynamic structure poses a daunting challenge for optical nanoscopy. Different labeling strategies have been demonstrated for live-cell stimulated emission depletion (STED) microscopy of mitochondria, but orthogonal strategies are yet to be established, and image acquisition has suffered either from photodamage to the organelles or from rapid photobleaching. Therefore, live-cell nanoscopy of mitochondria has been largely restricted to 2D single-color recordings of cancer cells. Here, by conjugation of cyclooctatetraene to a benzo-fused cyanine dye, we report a mitochondrial inner-membrane (IM) fluorescent marker, PK Mito Orange (PKMO), featuring efficient STED at 775 nm, strong photostability and markedly reduced phototoxicity. PKMO enables super-resolution recordings of inner-membrane dynamics for extended periods in immortalized mammalian cell lines, primary cells, and organoids. Photostability and reduced phototoxicity of PKMO open the door to live-cell 3D STED nanoscopy of mitochondria for three-dimensional analysis of the convoluted IM. PKMO is optically orthogonal with green and far-red markers allowing multiplexed recordings of mitochondria using commercial STED microscopes. Using multi-color STED, we demonstrate that imaging with PKMO can capture the sub-mitochondrial localization of proteins, or interactions of mitochondria with different cellular components, such as the ER or the cytoskeleton at sub-100 nm resolution. Thereby, this work offers a versatile tool for studying mitochondrial inner-membrane architecture and dynamics in a multiplexed manner. | cell biology |
Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data New multiplexed tissue imaging technologies have enabled the study of normal and diseased tissues in unprecedented detail. These methods are increasingly being applied to understand how cancer cells and immune response change during tumor development, progression, and metastasis as well as following treatment. Yet, existing analysis approaches focus on investigating small tissue samples on a per-cell basis, not taking into account the spatial proximity of cells, which indicates cell-cell interaction and specific biological processes in the larger cancer microenvironment. We present Visinity, a scalable visual analytics system to analyze cell interaction patterns across cohorts of whole-slide multiplexed tissue images. Our approach is based on a fast regional neighborhood computation, leveraging unsupervised learning to quantify, compare, and group cells by their surrounding cellular neighborhood. These neighborhoods can be visually analyzed in an exploratory and confirmatory workflow. Users can explore spatial patterns present across tissues through a scalable image viewer and coordinated views highlighting the neighborhood composition and spatial arrangements of cells. To verify or refine existing hypotheses, users can query for specific patterns to determine their presence and statistical significance. Findings can be interactively annotated, ranked, and compared in the form of small multiples. In two case studies with biomedical experts, we demonstrate that Visinity can identify common biological processes within a human tonsil and uncover novel white-blood networks and immune-tumor interactions. | cell biology |
Prenatal inflammation perturbs fetal hematopoietic development and causes persistent changes to postnatal immunity Adult hematopoietic stem and progenitor cells (HSPCs) respond directly to inflammation and infection, resulting in both acute and persistent changes to quiescence, mobilization, and differentiation. Here we show that fetal HSPCs respond to prenatal inflammation in utero, and that the fetal response shapes postnatal hematopoiesis and immunity. Heterogenous fetal HSPCs showed divergent responses to maternal immune activation (MIA), including changes in quiescence, expansion, and lineage-biased output. Single cell transcriptomic analysis of fetal HSPCs in response to MIA revealed specific upregulation of inflammatory gene profiles in discrete, transient HSC populations, that propagated expansion of lymphoid-biased progenitors. Beyond fetal development, MIA caused the inappropriate expansion and persistence of fetal lymphoid-biased progenitors postnatally, concomitant with increased cellularity and hyperresponsiveness of fetal-derived innate-like lymphocytes. Our investigation demonstrates how inflammation in utero can direct the trajectory of output and function of fetal-derived immune cells by reshaping fetal HSC establishment. | cell biology |
Rapid covalent labeling of a GPCR on living cells using a nanobody-epitope tag pair to interrogate receptor pharmacology Peptide epitope tags offer a valuable means for detection and manipulation of protein targets for which high quality detection reagents are not available. Most commonly used epitope tags are bound by conventional, full-size antibodies (Abs). The complex architecture of Abs complicates their application in protein engineering and intracellular applications. To address these shortcomings, single domain antibodies (nanobodies, Nbs) that recognize short peptide epitopes have become increasingly prized. Here we characterize the interaction between a Nb (Nb6E) and a 14-mer peptide epitope. We identify residues in the peptide epitope essential for high affinity binding. Using this information in combination with computational modeling we propose a mode of interaction between Nb6E and this epitope. We apply this nanobody-epitope pair to augment the potency of a ligand at an engineered adenosine A2A receptor. This characterization of the nanobody-epitope pair opens the door to diverse applications including mechanistic studies of G protein-coupled receptor function. | biochemistry |
Sampling biases obscure the early diversification of the largest living vertebrate group Extant ray-finned fishes (Actinopterygii) dominate marine and freshwater environments, yet their spatiotemporal diversity dynamics following their origin in the Palaeozoic are poorly understood. Previous studies investigate face-value patterns of richness, with only qualitative assessment of potential biases acting on the Palaeozoic actinopterygian fossil record. Here, we investigate palaeogeographic trends and apply richness estimation techniques to a recently-assembled occurrence database for Palaeozoic ray-finned fishes. We reconstruct patterns of local richness of Palaeozoic actinopterygians, alongside sampling standardised estimates of 'global' diversity. We identify substantial fossil record biases, such as geographic bias in the sampling of actinopterygian occurrences centred around Europe and North America. Similarly, estimates of diversity are skewed by extreme unevenness in the abundance distributions of occurrences, reflecting past taxonomic practices and historical biases in sampling. Increasing sampling of poorly represented regions and expanding sampling beyond the literature to include museum collection data will be critical in obtaining accurate estimates of Palaeozoic actinopterygian diversity. In conjunction, applying diversity estimation techniques to well-sampled regional subsets of the 'global' dataset may identify accurate local diversity trends. | paleontology |
Centrosome Amplification promotes cell invasion via cell-cell contact disruption and Rap-1 activation Centrosome amplification (CA), a prominent feature of human cancers linked to genomic instability and tumourigenesis in vivo, is observed as early as pre-malignant metaplasia, increasing with progression from dysplasia to neoplasia. However, the mechanistic contributions of CA to tumourigenesis are not fully understood. Using non-tumourigenic breast cells (MCF10A), we demonstrate that induction of CA (by CDK1 inhibition or PLK4 overexpression) increased both the migration and invasion of non-tumourigenic cells. Mechanistically, we found small GTPase Rap-1 was activated upon CA induction. Rap-1 inhibition (using GGTI-298) blocked CA-induced migration, invasion and ECM attachment, demonstrating the role of Rap-1 in CA induced tumourigenesis. Induction of CA in a long-term cell culture system disrupted epithelial cell-cell junction integrity, via dysregulation of expression and subcellular localisation of cell junction proteins (ZO-1, Occludin, JAM-A & {beta}-catenin). Physically, CA inhibited apical junctional complex formation, visualised by transmission electron microscopy. Furthermore, CA induction in non-tumourigenic cells elevated {beta}-integrin 3 expression explaining increased cell attachment to the extracellular matrix (ECM). Simultaneously, CA induced elevated expression of matrix metalloprotease MMP1 and MMP13 facilitating ECM degradation and cell invasion. In vivo validation in a Chicken Embryo xenograft model, showed CA+ MCF10A cells invaded into the chicken mesodermal layer, characterised by inflammatory cell infiltration and a marked focal reaction between chorioallantoic membrane and cell graft. This reaction was inhibited by pre-treatment of CA+ MCF10A cells with Rap-1 inhibitor GGTI-298. Inhibition of CA in metastatic breast cancer cells with high levels of endogenous CA (triple negative cell line MDA-MB-231), using PLK4 inhibitor Centrinone B, abrogated their metastatic capacity in vitro. Here, we demonstrated CA induction in normal cells confers early tumourigenic changes which promote tumour progression, mediated by ECM disruption, altered cell-cell contacts, and Rap-1-dependent signaling. These insights fundamentally demonstrate the mechanism of how CA induces tumourigenesis in normal cells, alone and without requiring additional pre-tumourigenic alterations. | cell biology |
A sporulation-independent way of life for Bacillus thuringiensis in the late stages of an infection The formation of endospores has been considered as the unique mode of survival and transmission of sporulating Firmicutes due to the exceptional resistance and persistence of this bacterial form. However, the persistence of non-sporulated bacteria (Spo-) was reported during infection in Bacillus thuringiensis, an entomopathogenic sporulating Gram-positive bacterium. In this study, we investigated the behavior of a bacterial population in the late stages of an infection as well as the characteristics of the Spo- bacteria in the B. thuringiensis/Galleria mellonella infection model. Using fluorescent reporters coupled to flow cytometry as well as molecular markers, we demonstrated that the Spo- cells constitute about half of the population two weeks post-infection (pi) and that these bacteria present vitality signs. However, a protein synthesis and a growth recovery assay indicated that they are in a metabolically slowed-down state. Interestingly, they were extremely resistant to the cadaver environment which proved deadly for in vitro-grown vegetative cells and, strikingly, did not support spore germination. A transcriptomic analysis of this subpopulation at 7 days pi revealed a signature profile of this state. The expression analysis of individual genes at the cell level suggests that iron homeostasis is important at all stages of the infection, whereas the oxidative stress response seems of particular importance as the survival time increases. Altogether, these data show that non-sporulated bacteria are able to survive for a prolonged period of time and indicate that they engage in a profound adaptation process that leads to their persistence in the host cadaver. | microbiology |
Thermal endurance by a hot-spring-dwelling phylogenetic relative of the mesophilic Paracoccus High temperature growth/survival was revealed in a phylogenetic relative (strain SMMA_5) of the mesophilic Paracoccus isolated from the 78-85{degrees}C water of a Trans-Himalayan sulfur-borax spring. After 12 h at 50{degrees}C, or 45 minutes at 70{degrees}C, in mineral salts thiosulfate (MST) medium, SMMA_5 retained ~2% colony-forming units (CFUs), whereas comparator Paracoccus had 1.5% and 0% CFU left at 50{degrees}C and 70{degrees}C respectively. After 12 h at 50{degrees}C, the thermally-conditioned sibling SMMA_5_TC exhibited ~1.5 time increase in CFU-count; after 45 minutes at 70{degrees}C, SMMA_5_TC had 7% of the initial CFU-count intact. 1000-times diluted Reasoner's 2A medium, and MST supplemented with lithium, boron or glycine-betaine (solutes typical of the SMMA_5 habitat), supported higher CFU-retention/CFU-growth than MST. With or without lithium/boron/glycine-betaine in MST, a higher percentage of cells always remained viable (cytometry data), compared with what percentage remained capable of forming single colonies (CFU data). SMMA_5, compared with other Paracoccus, contained 335 unique genes, mostly for DNA replication/recombination/repair, transcription, secondary metabolites biosynthesis/transport/catabolism, and inorganic ion transport/metabolism. It's also exclusively enriched in cell wall/membrane/envelope biogenesis, and amino acid metabolism, genes. SMMA_5 and SMMA_5_TC mutually possessed 43 nucleotide polymorphisms, of which 18 were in protein-coding genes with 13 nonsynonymous and seven radical amino acid replacements. Such biochemical and biophysical mechanisms could be involved in thermal stress mitigation which streamline the cells' energy and resources towards system-maintenance and macromolecule-stabilization, thereby relinquishing cell-division for cell-viability. Thermal conditioning apparently helped memorize those potential metabolic states which are crucial for cell-system maintenance, while environmental solutes augmented the indigenous stability-conferring mechanisms. | microbiology |
Chemoenzymatic fluorescence labeling of intercellularly contacting cells using lipidated sortase A Methods to label intercellular contact attract particular attention due to their potential in cell biological and medical applications through analysis of intercellular communications. In this study, a simple and versatile method for chemoenzymatically labeling the intercellularly contacting cell was developed by using a cell-surface anchoring reagent of poly(ethylene glycol)(PEG)-lipid conjugate. The surfaces of each cell in cell pairs of interest were efficiently decorated with sortase A (SrtA) and triglycine peptide that were lipidated with PEG-lipid, respectively. In the mixture of the two cell populations, the triglycine-modified cells were enzymatically labeled with a fluorescent labeling reagent by contacting with the SrtA-modified cells both on the substrate and in cell suspensions. Such selective labeling of the contacting cells was confirmed by confocal microscopy and flow cytometry. The results show a proof of principle that the present method is a promising tool for selective visualization and quantification of the intercellularly contacting cells among cell mixtures in cell-cell communication analysis. | biochemistry |
Roughening instability of growing 3D bacterial colonies How do growing bacterial colonies get their shapes? While colony morphogenesis is well-studied in 2D, many bacteria grow as large colonies in 3D environments, such as gels and tissues in the body, or soils, sediments, and subsurface porous media. Here, we describe a morphological instability exhibited by large colonies of bacteria growing in 3D. Using experiments in transparent 3D granular hydrogel matrices, we show that dense colonies of four different species of bacteria--Escherichia coli, Vibrio cholerae, Pseudomonas aeruginosa, and Komagataeibacter sucrofermentans--generically roughen as they consume nutrients and grow beyond a critical size, eventually adopting a characteristic branched, broccoli-like, self-affine morphology independent of variations in the cell type and environmental conditions. This behavior reflects a key difference between 2D and 3D colonies: while a 2D colony may access the nutrients needed for growth from the third dimension, a 3D colony inevitably becomes nutrient-limited in its interior, driving a transition to rough growth at its surface. We elucidate the onset of roughening using linear stability analysis and numerical simulations of a continuum model that treats the colony as an 'active fluid' whose dynamics are driven by nutrient-dependent cellular growth. We find that when all dimensions of the growing colony substantially exceed the nutrient penetration length, nutrient-limited growth drives a 3D morphological instability that recapitulates essential features of the experimental observations. Our work thus provides a framework to predict and control the organization of growing colonies--as well as other forms of growing active matter, such as tumors and engineered living materials--in 3D environments. | biophysics |
Deformable Mirror based Optimal PSF Engineering for 3D Super-resolution Imaging Point spread function (PSF) engineering is an important technique to encode the properties (e.g., 3D positions, color, and orientation) of single molecule in the shape of the PSF, often with the help of a programmable phase modulator. Deformable mirror (DM) is currently the most widely used phase modulator for fluorescence detection as it shows negligible photon loss. However, it relies on careful calibration for precise wavefront control. Therefore, design of an optimal PSF not only relies on the theoretical calculation of maximum information content, but also the physical behavior of the phase modulator, which is often ignored during the optimization process. Here, we developed a framework of PSF engineering which could generate a device specific optimal PSF for 3D super-resolution imaging using DM. We used our method to generate two types of PSFs with depths of field comparable to the widely used astigmatism and Tetrapod PSFs, respectively. We demonstrated the superior performance of the DM specific optimal PSF over the conventional astigmatism and Tetrapod PSF both theoretically and experimentally. | biophysics |
Computational modeling of TGF-β2:TβRI:TβRII receptor complex assembly as mediated by the TGF-β co-receptor betaglycan Transforming growth factor-{beta}1, -{beta}2, and -{beta}3 (TGF-{beta}1, -{beta}2, and -{beta}3) are secreted signaling ligands that play essential roles in tissue development, tissue maintenance, immune response, and wound healing. TGF-{beta} homodimers signal by assembling a heterotetrameric complex comprised of two type I receptor (T{beta}RI):type II receptor (T{beta}RII) pairs. TGF-{beta}1 and TGF-{beta}3 signal with high potency due to their high affinity for T{beta}RII, which engenders high affinity binding of T{beta}RI through a composite TGF-{beta}:T{beta}RII binding interface. However, TGF-{beta}2 binds T{beta}RII 200-500 more weakly than T{beta}RII and signals with lower potency compared to TGF-{beta}1 and -{beta}3. Remarkably, potency of TGF-{beta}2 is increased to that of TGF-{beta}1 and -{beta}3 in the presence of an additional membrane-bound co-receptor, known as betaglycan (BG), even though betaglycan does not directly participate in the signaling mechanism and is displaced as the signaling receptors, T{beta}RI and T{beta}RII, bind. To determine the role of betaglycan in the potentiation of TGF-{beta}2 signaling, we developed deterministic computational models with different modes of betaglycan binding and varying cooperativity between receptor subtypes. The models, which were developed using published kinetic rate constants for known quantities and optimization to determine unknown quantities, identified conditions for selective enhancement of TGF-{beta}2 signaling. The models provide support for additional receptor binding cooperativity that has been hypothesized, but not evaluated in the literature. The models further showed that betaglycan binding to TGF-{beta}2 ligand through two domains provides an effective mechanism for transfer to the signaling receptors that has been tuned to efficiently promote assembly of the TGF-{beta}2(T{beta}RII)2(T{beta}RI)2 signaling complex. | biophysics |
De novo design of peptides that form transmembrane barrel pores killing antibiotic resistant bacteria De novo design of peptides that self-assemble into transmembrane barrel pores is challenging due to the complexity of several competing interactions involving peptides, lipids, water, and ions. Here, we develop a computational approach for the de novo design of -helical peptides that self-assemble into stable transmembrane barrel pores with a central functional channel. We formulate the previously missing design guidelines and report 52 sequence patterns that can be tuned for specific applications using the identified role of each residue. Atomic force microscopy and fluorescent dye leakage experiments confirm that the designed peptides form leaky membrane pores in vitro. Customized designed peptides act as antimicrobial agents able to kill even antibiotic-resistant ESKAPE bacteria at micromolar concentrations, while exhibiting low toxicity to human cells. The peptides can be similarly fine-tuned for other medical and biotechnological applications. | biophysics |
Derivation of the Relationship Between the Mass and Lifespan of Living Organisms The relation p=1-a between exponents, by which the dependencies of lifespan p and growth intensity a on masses of living organisms are described, is obtained and testified. | biophysics |
Sequence-based pH-dependent prediction of protein solubility using CamSol Solubility is a property of central importance for the use of proteins in research and in applications in biotechnology and medicine. Since experimental methods for measuring protein solubility are resource-intensive and time-consuming, computational methods have recently emerged to enable the rapid and inexpensive screening of large libraries of proteins, as it is routinely required in development pipelines. Here, we describe the extension of one of such methods, CamSol, to include in the predictions the effect of the pH of the solubility. We illustrate the accuracy of the pH-dependent predictions on a variety of antibodies and other proteins. | biophysics |
Evolution avoids a pathological stabilizing interaction in the immune protein S100A9 Protein stability constrains protein evolution. While much is known about evolutionary constraints on destabilizing mutations, much less is known about evolutionary constraints on mutations that increase protein stability. We recently found that the M63F mutation in the innate immune protein S100A9 increases its stability but disrupts its natural ability to activate inflammation. Here we show, through careful biophysical and functional studies, that this mutation stabilizes a nonfunctional form of the protein through a direct interaction with another amino acid, Phe37. Phe can be tolerated at position 37 or 63, but not at both sites simultaneously. We find that this pattern has been conserved over millions of years of evolution. Our work highlights an underappreciated evolutionary constraint on stabilizing mutations: they must avoid inappropriately stabilizing non-functional protein conformations. | biophysics |
Ubiquitous bacterial polyketides induce cross-kingdom microbial interactions Although the interaction of prokaryotic and eukaryotic microorganisms is critical for the functioning of ecosystems, knowledge of the processes driving microbial interactions within communities is in its infancy. We previously reported that the soil bacterium Streptomyces iranensis specifically triggers the production of natural products in the fungus Aspergillus nidulans. Here, we discovered that arginine-derived polyketides serve as the bacterial signals for this induction. Arginine-derived polyketide-producing bacteria occur world wide. These producer bacteria and the fungi that decode and respond to this signal can be co-isolated from the same soil sample. Arginine-derived polyketides impact surrounding microorganisms both directly as well as indirectly, by inducing the production of natural products in fungi that further influence the composition of microbial consortia. | microbiology |
Corynebacterium matruchotii fitness enhancement of adjacent streptococci by multiple mechanisms Polymicrobial biofilms are present in many environments particularly in the human oral cavity where they can prevent or facilitate the onset of disease. While recent advances have provided a clear picture of both the constituents and their biogeographical arrangement, it is still unclear what mechanisms of interaction occur between individual species in close proximity within these communities. In this study we investigated two mechanisms of interaction between the highly abundant supragingival plaque (SUPP) commensal Corynebacterium matruchotii and Strepto-coccus mitis which are directly adjacent in vivo. We discovered that C. matruchotii enhanced the fitness of streptococci dependent on its ability to detoxify streptococcal-produced hydrogen per-oxide and its ability to oxidize lactate also produced by streptococci. We demonstrate that the fitness of adjacent streptococci was linked to that of C. matruchotii and that these mechanisms support the previously described corncob arrangement between these species but that this is favorable only in aerobic conditions. Further we utilized scanning electrochemical microscopy (SECM) to quantify lactate production and consumption between individual bacterial cells for the 1st time, revealing that lactate oxidation provides a fitness benefit to S. mitis and not pH mitigation. This study describes mechanistic interactions between two highly abundant human com-mensals that can explain their observed in vivo spatial arrangements and suggest a way by which they may help preserve a healthy oral bacterial community. | microbiology |
In-silico identification of Tyr232 in AMPKα2 as a dephosphorylation site for the protein tyrosine phosphatase PTP-PEST The AMP-activated protein kinase (AMPK) is known to be activated by the protein tyrosine phosphatase non-receptor type 12 (PTP-PEST) under hypoxic conditions. This activation is mediated by tyrosine dephosphorylation of the AMPK subunit. However, the identity of the phosphotyrosine residues remains unknown. In this study we first predicted the structure of the complex of the AMPK2 subunit and PTP-PEST catalytic domain using bioinformatics tools and further confirm the stability of the complex using molecular dynamics simulations. Evaluation of the protein-protein interfaces indicates that residue Tyr232 is the most likely site of dephosphorylation on AMPK2. In addition, we explored the effect of phosphorylation of PTP-PEST residue Tyr64 on the stability of the complex. The phosphorylation of Tyr64, an interface residue, enhances the stability of the complex via the rearrangement of a network of electrostatic interactions in conjunction with conformational changes in the catalytic WPD loop. Our findings present a plausible structural basis of AMPK regulation mediated by PTP-PEST and shows how phosphorylation of PTP-PEST could be involved in its activation. | biochemistry |
Dynamic HIV-1 spike motion creates vulnerability for its membrane-bound tripod to antibody attack Vaccines targeting HIV-1's gp160 spike protein are stymied by high viral mutation rates and structural chicanery. gp160's membrane-proximal external region (MPER) is the target of naturally arising broadly neutralizing antibodies (bnAbs), yet MPER-based vaccines fail to generate bnAbs. Here, nanodisc-embedded spike protein was investigated by cryo-electron microscopy and molecular-dynamics simulations, revealing spontaneous ectodomain tilting that creates vulnerability for HIV-1. While each MPER protomer radiates centrally towards the three-fold axis contributing to a membrane-associated tripod structure that is occluded in the upright spike, tilting provides access to the opposing MPER. Structures of spike proteins with bound 4E10 bnAb Fabs reveal that the antibody binds exposed MPER, thereby altering MPER dynamics, modifying average ectodomain tilt, and imposing strain on the viral membrane and the spike's transmembrane segments, resulting in the abrogation of membrane fusion and informing future vaccine development. | biophysics |
Decoding The Nuclear Genome of The Human Pathogen Babesia duncani Shed Light on its Virulence, Drug Susceptibility and Evolution among Apicomplexa Babesia species are tick-transmitted apicomplexan pathogens and the causative agents of babesiosis, a malaria-like disease of major medical and veterinary importance. Of the different species of Babesia reported so far, Babesia duncani causes severe to lethal infection in patients. Despite the highly virulent nature of this parasite and the risk it may pose as an emerging pathogen, little is known about its biology, metabolic requirements, and pathogenesis. B. duncani is unique among apicomplexan parasites that infect red blood cells in that it can be continuously cultured in vitro in human erythrocytes but can also infect mice leading to fulminant babesiosis infection and death. Here we have taken advantage of the recent advances in the propagation of this parasite in vitro and in vivo to conduct detailed molecular, genomic and transcriptomic analyses and to gain insights into its biology. We report the assembly, 3D structure, and annotation of the nuclear genome of this parasite as well as its transcriptomic profile and an atlas of its metabolism during its intraerythrocytic life cycle. Detailed examination of the B. duncani genome and comparative genomic analyses identified new classes of candidate virulence factors, suitable antigens for diagnosis of active infection, and several attractive drug targets. Translational analyses and efficacy studies identified highly potent inhibitors of B. duncani thus enriching the pipeline of small molecules that could be developed as effective therapies for the treatment of human babesiosis. | microbiology |
Identification of Banana heat responsive long non-coding RNAs and their gene expression analysis. Identification and characterization of long non-coding RNAs (lncRNAs) in the last decade has attained great attention because of their importance in gene regulatory functions in response to various plant stresses. Rising temperature is a potential threat to the agriculture world. Banana being an important economic crop, identification and characterization of genes and RNAs that regulate high temperature stress is imperative. As the prediction of lncRNAs in response to heat stress in banana is largely unknown, the present study was focused to identify the heat stress responsive lncRNA in banana (DH Pahang). Perl script was written to identify the novel transcripts, using the work flow. StringTie and CPC softwares were used and a total of 363 novel HS-lncRNA were identified in banana. Further, lncRNA were classified as 288 lincRNAs, 71 antisense LncRNA, 5 sense lncRNAs. The functional classification was done and transcripts were broadly classified into molecular function, cellular components and biological processes. Differential expression of lncRNA showed the varied patterns at different stages of heat stress. Finally, qPCR results confirmed DGE expression pattern of lncRNAs. Further, the Cytoscape analysis was performed which showed protein coding genes involved in membrane integrity and other signal transduction pathways. Taken together, these findings expand our understanding of lncRNAs as ubiquitous regulators under heat stress conditions in banana. | molecular biology |
Chronic clinical signs of upper respiratory tract disease shape gut and respiratory microbiomes in cohabitating domestic felines. Feline upper respiratory tract disease (FURTD), often caused by infections etiologies, is a multifactorial syndrome affecting feline populations worldwide. Because of its highly transmissible nature, infectious FURTD is most prevalent anywhere cats are housed in groups such as animal shelters, and is associated with negative consequences such as decreasing adoption rates, intensifying care costs, and increasing euthanasia rates. Understanding the etiology and pathophysiology of FURTD is thus essential to best mitigate the negative consequences of this disease. Clinical signs of FURTD include acute respiratory disease, with a small fraction of cats developing chronic sequelae. It is thought that nasal mucosal microbiome changes play an active role in the development of acute clinical signs, but it remains unknown if the microbiome may play a role in the development and progression of chronic clinical disease. To address the knowledge gap surrounding how microbiomes link to chronic FURTD, we asked if microbial community structure of upper respiratory and gut microbiomes differed between cats with chronic FURTD signs and clinically normal cats. We selected 8 households with at least one cat exhibiting chronic clinical FURTD, and simultaneously collected samples from cohabitating clinically normal cats. Microbial community structure was assessed via 16S rDNA sequencing of both gut and nasal microbiome communities. Using a previously described ecophylogenetic method, we identified 37 and 27 microbial lineages within gut and nasal microbiomes respectively that significantly associated with presence of active FURTD clinical signs in cats with a history of chronic signs. Overall, we find that nasal and gut microbial communities may contribute to the development of chronic clinical course, but more research is needed to confirm our observations. | microbiology |
The Drosophila ZAD zinc finger protein Kipferl guides Rhino to piRNA clusters RNA interference systems depend on the synthesis of small RNA precursors whose sequences define the target spectrum of these silencing pathways. The Drosophila Heterochromatin Protein 1 (HP1) variant Rhino permits transcription of PIWI-interacting RNA (piRNA) precursors within transposon-rich heterochromatic loci in germline cells. Current models propose that Rhino's specific chromatin occupancy at piRNA source loci is determined by histone marks and maternally inherited piRNAs, but also imply the existence of other, undiscovered specificity cues. Here, we identify a member of the diverse family of zinc finger associated domain (ZAD)-C2H2 proteins, Kipferl, as critical Rhino cofactor in ovaries. By binding to guanosine-rich DNA motifs and interacting with the Rhino chromodomain, Kipferl recruits Rhino to specific loci and stabilizes it on chromatin. In kipferl mutant flies, Rhino is lost from most of its target chromatin loci and instead accumulates on pericentromeric satellite arrays, resulting in decreased levels of transposon targeting piRNAs and impaired fertility. Our findings reveal that DNA sequence, in addition to the H3K9me3 mark, determines the identity of piRNA source loci and provide insight into how Rhino might be caught in the crossfire of genetic conflicts. | genetics |
Real-time single-molecule observation of chaperone-assisted protein folding The ability of Hsp70 molecular chaperones to remodel the conformation of their clients is central to their biological function; however, questions remain regarding the precise molecular mechanisms by which Hsp70 machinery interacts with the client and how this contributes towards efficient protein folding. Here, we used Total Internal Reflection Fluorescence (TIRF) microscopy and single-molecule Fluorescence Resonance Energy Transfer (smFRET) to temporally observe the conformational changes that occur to individual firefly luciferase (Fluc) proteins as they are folded by the bacterial Hsp70 system. For the first time, we observed multiple cycles of chaperone binding-and-release to an individual client during refolding and that high rates of chaperone cycling improves refolding yield. Furthermore, we demonstrate that DnaJ remodels misfolded proteins via a conformational selection mechanism whereas DnaK resolves misfolded states via mechanical unfolding. This study illustrates that the temporal observation of chaperone-assisted folding enables the elucidation of key mechanistic details inaccessible using other approaches. | biochemistry |
Design of an ultrafast pulsed ponderomotive phase plate for cryo-electron tomography Ponderomotive phase plates have shown temporally consistent phase contrast is possible within electron microscopes via high fluence static laser modes resonating in Fabry-Perot cavities. Here, we explore using pulsed laser beams as an alternative method of generating high fluences. We find through forward-stepping finite element models that picosecond-or-less interactions are required for meaningful fluences phase shifts, with higher pulse energies and smaller beam waists leading to the predicted higher fluences. An additional model based on quasiclassical assumptions is used to discover the shape of the phase plate by incorporating the oscillatory nature of the electric field. From these results, we find the transient nature of the laser pulses removes the influence of Kapitza-Dirac diffraction patterns that appear in the static resonator cases. The addition of a second laser aligned 90 degrees to the first induces anisotropy to the shape of the phase plate. By incorporating a shifting-electron-beam algorithm, the effects of a finite electron beam crossover are also simulated. A total pulse energy of 8.7 microJoules is enough to induce the required pi/2 phase shift for Zernike-like phase microscopy. As a brief thought experiment, we also explore the usage of high frequency lasers in a standard electron emission scheme to see if a pulsed electron beam is even necessary. Ultimately, frequency requirements limit the laser to nanosecond pulse durations, causing the required pulse energies to reach unreasonable levels before adequate phase shifts are achieved. | biophysics |
Deep Reinforcement Learning for Optimal Experimental Design in Biology The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence---reinforcement learning---to the optimal experimental design task of maximizing confidence in estimates of model parameter values. We show that a reinforcement learning approach performs favourably in comparison with a one-step ahead optimisation algorithm and a model predictive controller for the inference of bacterial growth parameters in a simulated chemostat. Further, we demonstrate the ability of reinforcement learning to train over a distribution of parameters, indicating that this approach is robust to parametric uncertainty. | synthetic biology |
Persistent serum protein signatures define an inflammatory subset of long COVID Long COVID or post-acute sequelae of SARS-CoV-2 (PASC) is a clinical syndrome featuring diverse symptoms that can persist for months after acute SARS-CoV-2 infection. The etiologies are unknown but may include persistent inflammation, unresolved tissue damage, or delayed clearance of viral protein or RNA. Attempts to classify subsets of PASC by symptoms alone have been unsuccessful. To molecularly define PASC, we evaluated the serum proteome in longitudinal samples from 55 PASC individuals with symptoms lasting [≥]60 days after onset of acute infection and compared this to symptomatically recovered SARS-CoV-2 infected and uninfected individuals. We identified subsets of PASC with distinct signatures of persistent inflammation. Type II interferon signaling and canonical NF-{kappa}B signaling (particularly associated with TNF), were the most differentially enriched pathways. These findings help to resolve the heterogeneity of PASC, identify patients with molecular evidence of persistent inflammation, and highlight dominant pathways that may have diagnostic or therapeutic relevance. | immunology |
SARS-CoV-2 Spike N-Terminal Domain modulates TMPRSS2-dependent viral entry and fusogenicity Over 20 mutations have been identified in the N-Terminal Domain (NTD) of SARS-CoV-2 spike and yet few of them are fully characterised. Here we first examined the contribution of the NTD to infection and cell-cell fusion by constructing different VOC-based chimeric spikes bearing B.1617 lineage (Delta and Kappa variants) NTDs and generating spike pseudotyped lentivirus (PV). We found the Delta NTD on a Kappa or WT background increased spike S1/S2 cleavage efficiency and virus entry, specifically in Calu-3 lung cells and airway organoids, through use of TMPRSS2. Delta was previously shown to have fast cell-cell fusion kinetics and increased fusogenicity that could be conferred to WT and Kappa variant spikes by transfer of the Delta NTD. Moving to contemporary variants, we found that BA.2 had higher entry efficiency in a range of cell types as compared to BA.1. BA.2 showed higher fusogenic activity than BA.1, but the BA.2 NTD could not confer higher fusion to BA.1 spike. There was low efficiency of TMPRSS2 usage by both BA.1 and BA.2, and chimeras of Omicron BA.1 and BA.2 spikes with a Delta NTD did not result in more efficient use of TMRPSS2 or cell-cell fusogenicity. We conclude that the NTD allosterically modulates S1/S2 cleavage and spike-mediated functions such as entry and cell-cell fusion in a spike context dependent manner, and allosteric interactions may be lost when combining regions from more distantly related spike proteins. These data may explain the lack of dominant SARS-CoV-2 inter-variant recombinants bearing breakpoints within spike. | microbiology |
Soil nitrogen impacts the rhizosphere microbial community owing to microbial hitchhiking Microbial hitchhiking demonstrates that some nonmotile microbes utilize trans-species motility to traverse their environment; however, whether driving forces, such as plants and nitrogen, affect microbial hitchhiking is not clear. In our study, we explored the effects of plants and nitrogen fertilizer on Bacillus- hitchhiking by setting filter membranes and different nitrogen fertilizer concentration gradients. In the experimental treatment, we added a filter membrane to the soil to prevent hitchhiking. In the absence of plants, nitrogen alone had little influence on motile bacteria and hitchhiking. However, Bacillus contents were significantly impacted by the nitrogen concentration when the plants were rooted, leading to a great variation in cell motility function according to the functional analysis in the soil microbial community. After applying the filter membrane, there were no significant differences in Bacillus contents, microbial community structure or cell motility functional abundance, which illustrated that hitchhiking impacted the microbial community. Our analysis of co-occurrence between bulk soil motile bacteria (Bacillus) and rhizosphere bacteria also confirmed this. The correlation between bulk soil motile bacteria and the rhizosphere microbial community was strong in the groups with suitable nitrogen concentrations without filter membranes and was weak at all nitrogen levels in the no-membrane treatments. Thus, we concluded that plants and different nitrogen doses synergistically altered the soil microbiome by hitchhiking, whose effect depends on nitrogen. | microbiology |
A marine probiotic treatment against the bacterial pathogen Vibrio coralliilyticus to improve the performance of Pacific (Crassostrea gigas) and Kumamoto (C. sikamea) oyster larvae Oyster larvae reared in hatcheries on the U.S. West coast often experience severe Vibrio coralliilyticus-related mortalities early in their development. Current treatment options for these molluscs are not available or feasible; however, for decades, probiotics have been successfully used in finfish and crustacean shellfish culture. Consequently, the objectives of this work were to 1) isolate marine bacteria from oysters and evaluate their protective activity against Vibrio coralliilyticus infection of Pacific oyster (Crassostrea gigas) larvae, and 2) to determine the long-term effects of probiotic additions on growth and metamorphosis of larval Pacific and Kumamoto oysters (C. sikamea). A combination of three probiotic strains applied once 24 hours post-fertilization was more effective in improving survival of larval C. gigas exposed to lethal concentrations of V. coralliilyticus strain RE22, compared with separate additions of individual probiotics. In addition, a single application of the probiotic combination to one-day-old larvae increased the larval metamorphosis success of C. sikamea and both the Midori and Myiagi stocks of C. gigas. These results suggest that probiotics are effective at preventing disease and can significantly improve performance of oyster larvae, using a single application early in their development. | microbiology |
SIRT3 deficiency decreases oxidative-metabolism capacity but increases lifespan under caloric restriction Mitochondrial NAD+-dependent protein deacetylase Sirtuin3 (SIRT3) has been proposed to mediate calorie restriction (CR)-dependent metabolic regulation and lifespan extension. Here, we investigated the role of SIRT3 in CR-mediated longevity, mitochondrial function, and aerobic fitness. We report that SIRT3 is required for whole-body aerobic capacity but is dispensable for CR-dependent lifespan extension. Under CR, loss of SIRT3 (Sirt3-/-) yielded a longer overall and maximum lifespan as compared to Sirt3+/+ mice. This unexpected lifespan extension was associated with altered mitochondrial protein acetylation in oxidative metabolic pathways, reduced mitochondrial respiration, and reduced aerobic exercise capacity. Also, Sirt3-/- CR mice exhibit lower physical activity and favor fatty acid oxidation during the postprandial period, leading to a pseudo-fasting condition that extends the fasting period. This study shows the uncoupling of lifespan and healthspan parameters (aerobic fitness and spontaneous activity) and provides new insights into SIRT3 function in CR adaptation, fuel utilization, and aging. | molecular biology |
Developmentally regulated alternate 3' end cleavage of nascent transcripts controls dynamic changes in protein expression in an adult stem cell lineage Alternative polyadenylation (APA) generates transcript isoforms that differ in the position of the 3' cleavage site, resulting in the production of mRNA isoforms with different length 3'UTRs. Although widespread, the role of APA in the biology of cells, tissues and organisms has been controversial. We identified over 500 Drosophila genes that express mRNA isoforms with a long 3'UTR in proliferating spermatogonia but a short 3'UTR in differentiating spermatocytes due to APA. We show that the stage- specific choice of the 3' end cleavage site can be regulated by the arrangement of a canonical polyadenylation signal (PAS) near the distal cleavage site but a variant or no recognizable PAS near the proximal cleavage site. The emergence of transcripts with shorter 3'UTRs in differentiating cells correlated with changes in expression of the encoded proteins, either from off in spermatogonia to on in spermatocytes or vice versa. Polysome gradient fractionation revealed over 250 genes where the long 3'UTR versus short 3'UTR mRNA isoforms migrated differently, consistent with dramatic stage-specific changes in translation state. Thus, the developmentally regulated choice of an alternative site at which to make the 3'end cut that terminates nascent transcripts can profoundly affect the suite of proteins expressed as cells advance through sequential steps in a differentiation lineage. | developmental biology |
Opportunistic binding of EcR to open chromatin drives tissue-specific developmental responses Steroid hormones perform diverse biological functions in developing and adult animals. However, the mechanistic basis for their tissue specificity remains unclear. In Drosophila, the ecdysone steroid hormone is essential for coordinating developmental timing across physically separated tissues. Ecdysone directly impacts genome function through its nuclear receptor, a heterodimer of the EcR and Usp proteins. Ligand binding to EcR triggers a transcriptional cascade, including activation of a set of primary response transcription factors. The hierarchical organization of this pathway has left the direct role of EcR in mediating ecdysone responses obscured. Here, we investigate the role of EcR in controlling tissue-specific ecdysone responses, focusing on two tissues that diverge in their response to rising ecdysone titers: the larval salivary gland, which undergoes programmed destruction, and the wing imaginal disc, which initiates metamorphosis. We find that EcR functions bimodally, with both gene repressive and activating functions, even at the same developmental stage. EcR DNA binding profiles are highly tissue-specific, and transgenic reporter analyses demonstrate that EcR plays a direct role in controlling enhancer activity. Finally, despite a strong correlation between tissue-specific EcR binding and tissue-specific open chromatin, we find that EcR does not control chromatin accessibility at genomic targets. We conclude that EcR contributes extensively to tissue-specific ecdysone responses. However, control over access to its binding sites is subordinated to other transcription factors. | developmental biology |
Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection The global effort to sequence millions of SARS CoV-2 genomes has provided an unprecedented view of viral evolution. Characterizing how selection acts on SARS-CoV-2 is critical to developing effective, long-lasting vaccines and other treatments, but the scale and complexity of genomic surveillance data make rigorous analysis distinctly challenging. To meet this challenge, we develop Bayesian Viral Allele Selection (BVAS), a principled and scalable probabilistic method for inferring the genetic determinants of differential viral fitness and the relative growth rates of viral lineages, including newly emergent lineages. After demonstrating the accuracy and efficacy of our method through simulation, we apply BVAS to 6.9 million SARS-CoV-2 genomes. We identify numerous mutations that increase fitness, including previously identified mutations in the SARS-CoV-2 Spike and Nucleocapsid proteins, as well as mutations in non-structural proteins whose contribution to fitness is less well characterized. In addition, we extend our baseline model to identify mutations whose fitness exhibits strong dependence on vaccination status. Our method, which couples Bayesian variable selection with a diffusion approximation in allele frequency space, lays a foundation for identifying fitness-associated mutations under the assumption that most alleles are neutral. | genomics |
Deciphering the Impact of Genetic Variation on Human Polyadenylation Genetic variants that disrupt polyadenylation can cause or contribute to genetic disorders. Yet, due to the complex cis-regulation of polyadenylation, variant interpretation remains challenging. Here, we introduce a residual neural network model, APARENT2, that can infer 3'-cleavage and polyadenylation from DNA sequence more accurately than any previous model. This model generalizes to the case of alternative polyadenylation (APA) for a variable number of polyadenylation signals. We demonstrate APARENT2's performance on several variant datasets, including functional reporter data and human 3' aQTLs from GTEx. We apply neural network interpretation methods to gain insights into disrupted or protective higher-order features of polyadenylation. We fine-tune APARENT2 on human tissue-resolved transcriptomic data to elucidate tissue-specific variant effects. Finally, we perform in-silico saturation mutagenesis of all human polyadenylation signals and compare the predicted effects of >44 million variants against gnomAD. While loss-of-function variants were generally selected against, we also find specific clinical conditions linked to gain-of-function mutations. For example, using APARENT2's predictions we detect an association between gain-of-function mutations in the 3'-end and Autism Spectrum Disorder. | genomics |
Liquid-like assembly of VASP drives actin polymerization and bundling The organization of actin filaments into bundles is required for cellular processes such as motility, morphogenesis, and cell division. Filament bundling is controlled by a network of actin binding proteins. Recently, several proteins that comprise this network have been found to undergo liquid-liquid phase separation. How might liquid-like condensates contribute to filament bundling? Here we show that the processive actin polymerase, VASP, forms liquid-like droplets under physiological conditions. As actin polymerizes within VASP droplets, elongating filaments partition to the edges of the droplet to minimize filament curvature, forming an actin-rich ring within the droplet. The rigidity of this ring is balanced by the surface tension of the droplet, as predicted by a continuum-scale computational model. However, as the ring grows thicker, its rigidity increases and eventually overcomes the surface tension of the droplet, deforming into a linear bundle. The resulting bundles contain parallel actin filaments that grow from their tips. Growing bundles zipper together upon contact with one another, an effect which is mediated by the surface tension of the liquid-like VASP droplets that encapsulate them. Once the parallel arrangement of filaments is created within a VASP droplet, it propagates through the addition of new actin monomers to achieve a length that is many times greater than the initial droplet. This droplet-based mechanism of bundling may be relevant to the assembly of cellular architectures rich in parallel actin filaments, such as filopodia, stress fibers, and focal adhesions. | biophysics |
Cryo-EM structure of ex vivo fibrils associated with extreme AA amyloidosis prevalence in a cat shelter AA amyloidosis is a systemic disease characterized by deposition of misfolded serum amyloid A protein (SAA) into amyloid in multiple organs in humans and animals. AA amyloidosis occurs at high SAA serum levels during chronic inflammation. The disease can be transmitted horizontally, likely facilitated by prion-like mechanism, in captive animals leading to extreme disease prevalence, e.g. 70% in captive cheetah and 57-73% in domestic short hair (DSH) cats kept in shelters. Herein, we present the 3.3 [A] cryo-EM structure of an AA amyloid extracted post-mortem from the kidney of a DSH cat with renal failure. The structure reveals a cross-{beta} architecture assembled from two 76-residue long proto-filaments. Despite >70% sequence homology to mouse and human SAA, the cat SAA variant adopts a distinct amyloid fold. Based on shared disease profiles and almost identical protein sequences, we propose a similar amyloid fold of deposits identified previously in captive cheetah. | biophysics |
A novel ALDH1A1 inhibitor blocks platinum-induced senescence and stemness in ovarian cancer Ovarian cancer is a deadly disease attributed to late-stage detection as well as recurrence and development of chemoresistance. Ovarian cancer stem cells (OCSCs) are hypothesized to be largely responsible for emergence of chemoresistant tumors. Although chemotherapy may initially succeed at decreasing the size and number of tumors, it leaves behind residual malignant OCSCs. In this study, we demonstrate that Aldehyde dehydrogenase 1A1 (ALDH1A1) is essential for the survival of OCSCs. We identified a first in class ALDH1A1 inhibitor, compound 974, and used 974 as a tool to decipher the mechanism of stemness regulation by ALDH1A1. Treatment of OCSCs with 974 significantly inhibited ALDH activity, expression of stemness genes, spheroid, and colony formation. In vivo limiting dilution assay demonstrated that 974 significantly inhibited CSC frequency. Transcriptomic sequencing of cells treated with 974 revealed significant downregulation of genes related to stemness and chemoresistance as well as senescence and senescence associated secretory phenotype (SASP). We confirmed that 974 inhibited senescence and stemness induced by platinum-based chemotherapy in functional assays. Overall, these data establish that ALDH1A1 is essential for OCSCs survival and ALDH1A1 inhibition suppresses chemotherapy induced senescence and stemness. Targeting ALDH1A1 using small molecule inhibitors in combination with chemotherapy therefore presents a promising strategy to prevent ovarian cancer recurrence and has potential for clinical translation. | cancer biology |
Integrative multi-omics analysis reveals molecular subtypes and tumor evolution of synovial sarcoma Synovial sarcomas (SS) are malignant mesenchymal tumors characterized by the SS18-SSX fusion gene, which drives tumorigenesis by altering the composition of the BAF complex. Secondary genomic alterations that determine variations in tumor phenotype or clinical presentation are largely unknown. Herein, we present transcriptome, targeted DNA-sequencing, and proteomics analysis of 91 synovial sarcomas from 55 patients. We identified three SS clusters (SSCs) characterized by distinct histology, tumor microenvironments, genomic complexities, therapeutic effects, and clinical outcomes. Eight BAF complex components are differentially expressed among SSCs, and their role in mesenchymal-epithelial-transition is supported by single cell sequencing. The epithelial cells of biphasic tumors are more susceptible to developing copy number alterations, including amplification of PDCD1 and TMPRSS2. Our findings explain broad concepts in SS biology and imply that the BAF composition at the start of the tumorigenesis (i.e. the cellular linage) may determine the SS subtype, providing a rationale for individualized treatment strategies. | cancer biology |
A requirement for Kruppel-Like Factor-4 in the maintenance of endothelial cell quiescence Rationale and Goal: Endothelial cells (ECs) are quiescent and critical for maintaining homeostatic functions of the mature vascular system, while disruption of quiescence is at the heart of endothelial to mesenchymal transition (EndMT) and tumor angiogenesis. Here, we addressed the hypothesis that KLF4 maintains the EC quiescence. Methods and Results: In ECs, KLF4 bound to KLF2, and the KLF4-transctivation domain (TAD) interacted directly with KLF2. KLF4-depletion increased KLF2 expression, accompanied by phosphorylation of SMAD3, increased expression of alpha-smooth muscle actin (SMA), VCAM-1, TGF-{beta}1 and ACE2, but decreased VE-cadherin expression. In the absence of Klf4, Klf2 bound to the Klf2-promoter/enhancer region and autoregulated its own expression. Loss of EC-Klf4 in Rosa(mT/mG)::Klf4(fl/fl)::Cdh5(CreERT2) engineered mice, increased Klf2 levels and these cells underwent EndMT. Conclusion: In quiescent ECs, KLF2 and KLF4 partnered to regulate a combinatorial mechanism. The loss of KLF4 disrupted this combinatorial mechanism, thereby upregulating KLF2 as an adaptive response. However, increased KLF2 expression overdrives for the loss of KLF4, giving rise to an EndMT phenotype. | physiology |
The Role of Conjunctive Representations in Prioritizing and Selecting Planned Actions For flexible goal-directed behavior, prioritizing and selecting a specific action among multiple candidates is often important. Working memory has long been assumed to play a role in prioritization and planning, while bridging cross-temporal contingencies during action selection. However, studies of working memory have mostly focused on memory for single components of an action plan, such as a rule or a stimulus, rather than management of all of these elements during planning. Therefore, it is not known how post-encoding prioritization and selection operate on the entire profile of representations for prospective actions. Here, we assessed how such control processes unfold over action representations, highlighting the role of conjunctive representations that nonlinearly integrate task-relevant features during maintenance and prioritization of action plans. For each trial, participants prepared two independent rule- based actions simultaneously, then they were retro-cued to select one as their response. Prior to the start of the trial, one rule-based action was randomly assigned to be high priority by cueing that it was more likely to be tested. We found that both full action plans were maintained as conjunctive representations during action preparation, regardless of priority. However, during output selection, the conjunctive representation of the high priority action plan was more enhanced and readily selected as an output. Further, the strength of conjunctive representation was related to behavioral interference when the low priority action was tested. Thus, multiple integrated representations were maintained for upcoming actions and served as the target of post-encoding attentional selection mechanisms to prioritize and select an action from those in working memory. | neuroscience |
Persistence of Cajal-Retzius cells in the postnatal hippocampus is required for development of dendritic spines of CA1 pyramidal cells Cajal-Retzius (CR) cells are a transient type of neuron that populate the postnatal hippocampus. The role of transient cell types and circuits have been vastly addressed in neocortical regions, but poorly studied in the hippocampus. To understand how CR cells persistence influences the maturation of hippocampal circuits, we specifically ablated CR cells from the postnatal hippocampus. Our results highlighted layer-specific effects on dendritic spines and synaptic-related genes and revealed a critical role of CR cells in the establishment of the hippocampal network. | neuroscience |
The evolution of information transmission in mammalian brain networks Brain communication, defined as information transmission through white-matter connections, is at the foundation of the brain's computational capacities that virtually subtend all aspects of behavior: from sensory perception shared across mammalian species, to complex cognitive functions in humans. How did communication strategies in macroscale brain networks adapted across evolution to accomplish increasingly complex functions? By applying a novel approach to measure information transmission in mouse, macaque and human brains, we found an evolutionary gradient from selective information processing, where brain regions share information through single polysynaptic pathways, to parallel information processing, where regions communicate through multiple parallel pathways. In humans, parallel processing acts as a major connector between unimodal and transmodal systems. Communication strategies are unique to individuals across different mammalian species, pointing at the individual-level specificity of information routing architecture. Our work provides compelling evidence that different communication strategies are tied to the evolutionary complexity of mammalian brain networks. | neuroscience |
Neuroinflammation plays a critical role in cerebral cavernous malformation disease Background: Cerebral Cavernous Malformations (CCMs) are neurovascular lesions caused by loss-of-function mutations in one of three genes, including KRIT1 (CCM1), CCM2, and PDCD10 (CCM3). CCMs affect ~1/200 children and adults, and no pharmacologic therapy is available. CCM lesion count, size, and aggressiveness vary widely among patients of similar ages with the same mutation or even within members of the same family. However, what determines the transition from quiescent lesions into mature and active (aggressive) CCM lesions is unknown. Methods: We use genetic, RNA-seq, histology, flow cytometry, and imaging techniques to report the interaction between CCM-endothelium, astrocytes, leukocytes, microglia/macrophages, neutrophils (CALMN interaction) during the pathogenesis of CCMs in the brain tissue. Results: Expression profile of astrocytes in adult mouse brains using translated mRNAs obtained from the purification of EGFP-tagged ribosomes (Aldh1l1-EGFP/Rpl10a) in the presence or absence of CCM lesions (Slco1c1-iCreERT2;Pdcd10fl/fl; Pdcd10BECKO) identifies a novel gene signature for neuroinflammatory astrogliosis. CCM reactive astrocytes have a neuroinflammatory capacity by expressing genes involved in angiogenesis, chemotaxis, hypoxia signaling, and inflammation. RNA-seq analysis on RNA isolated from brain endothelial cells (BECs) in chronic Pdcd10BECKO mice (CCM-endothelium), identified crucial genes involved in recruiting inflammatory cells and thrombus formation through chemotaxis and coagulation pathways. In addition, CCM-endothelium was associated with increased expression of Nlrp3 and Il1b. Pharmacological inhibition of NLRP3 significantly decreased inflammasome activity as assessed by quantification of a fluorescent indicator of caspase-1 activity (FAM-FLICA caspase-1) in BECs from Pdcd10BECKO in the chronic stage. Importantly, our results support the hypothesis of the crosstalk between astrocytes and CCM endothelium can trigger the recruitment of inflammatory cells arising from brain parenchyma (microglia) and the peripheral immune system (leukocytes) into mature active CCM lesions that propagate lesion growth, immunothrombosis, and bleedings. Unexpectedly, partial or total loss of brain endothelial NF-kB activity (using Ikkbfl/fl mice) in chronic Pdcd10BECKO mice does not prevent lesion genesis or neuroinflammation. Instead, this resulted in an elevated number of lesions and immunothrombosis, suggesting that therapeutic approaches designed to target inflammation through endothelial NF-kB inhibition may contribute to detrimental side effects. Conclusions: Our study reveals previously unknown links between neuroinflammatory astrocytes and inflamed CCM endothelium as contributors that trigger leukocyte recruitment and precipitate immunothrombosis in CCM lesions. However, therapeutic approaches targeting brain endothelial NF-kB activity may contribute to detrimental side effects. | neuroscience |
Species sympatry shapes brain size evolution in Primates The main hypotheses about the evolution of animal cognition emphasise the role of conspecifics. Yet, space is often simultaneously occupied by multiple species from the same ecological guild. These sympatric species can compete for food, which may thereby stimulate or hamper cognition. Considering brain size as a proxy for cognition, we tested whether species sympatry impacted the evolution of cognition in frugivorous primates. We first retraced the evolutionary history of sympatry between frugivorous primate lineages. We then fitted phylogenetic models of the evolution of the size of several brain areas in frugivorous primates, considering or not species sympatry. We found that the whole brain or brain areas used in immediate information processing were best fitted by models not considering sympatry. By contrast, models considering species sympatry best predicted the evolution of brain areas related to long-term memory of interactions with the social or ecological environment, with a decrease of their size the higher the sympatry. We speculate that species sympatry, by generating intense food depletion, leads to an over-complexification of resource spatio-temporality that counteracts the benefits of high cognitive abilities and thereby induces lower brain area sizes. In addition, we reported that species in sympatry diversify more slowly. This comparative study suggests that species sympatry significantly contributes to shaping primate cognition and diversification. | ecology |
Mutation rates and fitness consequences of mosaic chromosomal alterations in blood Mosaic chromosomal alterations (mCAs) are commonly detected in many cancers and have been found to arise decades before diagnosis. A quantitative understanding of the rate at which these events occur and their functional consequences could improve cancer risk prediction and yet they remain poorly characterised. Here we use clone size estimates of mCAs from the blood of 500,000 participants in the UK Biobank to estimate the mutation rates and fitness consequences of acquired gain, loss and copy-neutral loss of heterozygosity (CN-LOH) events at the chromosomal arm level. Most mCAs have moderate to high fitness effects, but occur at a low rate, being over 10-fold less common than equivalently fit SNVs. While the majority of mCAs increase in prevalence with age in a way that is consistent with a constant growth rate, we find specific examples of mCAs whose behaviour deviates from this suggesting fitness effects for these mCAs may depend on inherited variants or be influenced by extrinsic factors. We find an association between mCA fitness effect and future blood cancer risk, highlighting the important role mCAs may play in risk stratification. | genomics |
The effect of sociality on competitive interactions among birds Sociality can provide many benefits, including increased foraging success, reproductive opportunities, and defence against predation. How does sociality influence the dominance hierarchies of ecological competitors? Here, we address this question using a large dataset of competitive interactions among birds foraging at backyard feeders across North America, representing a network of over 88,000 interactions among 196 bird species. We quantify sociality as the number of conspecifics observed together, and show that this measure of group size varies across bird species. More social species are less likely to dominate similarly sized opponents, suggesting that the evolution of social clustering is associated with reduced competitive ability overall. At the same time, we find that more social species also gain a greater competitive advantage from the presence of their conspecifics. We show that within-species competition occurs more often than expected in a null model, with the most social species exhibiting the greatest proportion of conflict originating from conspecifics. Overall, these results demonstrate that sociality influences the outcome of competition in ecological networks. Species that evolve greater sociality exhibit decreased competitive ability as individuals, but increased competitive ability in groups. | animal behavior and cognition |
TRPV1 drugs alter core body temperature via central projections of primary afferent sensory neurons TRPV1, a capsaicin- and heat-sensitive ion channel, is expressed by peripheral nociceptors and has been implicated in various inflammatory and neuropathic pain conditions. Although pharmacological modulation of TRPV1 has attracted therapeutic interest, their utility is limited because TRPV1 agonists and antagonists thus far examined show thermo-modulatory side effects in animal models and human clinical trials. These on-target effects may result from the perturbation of TRPV1 receptors on nociceptors, which transduce signals to central thermoregulatory circuits and also release pro-inflammatory factors from their peripheral terminals, such as the vasodilative neuropeptide calcitonin gene-related peptide (CGRP). Alternatively, they may originate from the modulation of TRPV1 on vascular smooth muscle cells (vSMCs), where channel activation promotes arteriole constriction. Here, we ask which of these pathways is most responsible for the body temperature perturbations elicited by TRPV1 drugs in vivo. We address this question by selectively eliminating TRPV1 expression in sensory neurons or vSMCs and show that only the former abrogates agonist-induced hypothermia and antagonist-induced hyperthermia. Furthermore, lesioning the central projections of TRPV1-positive sensory nerve fibers also abrogates drug-mediated thermo-modulation, whereas eliminating CGRP has no effect. Thus, TRPV1 drugs alter core body temperature by modulating sensory input to the central nervous system, rather than through peripheral actions on the vasculature. These findings suggest how mechanically distinct TRPV1 antagonists may diminish inflammatory pain without affecting core body temperature. | physiology |
Cellular And Molecular Effects Of Understudied Kinase Pregnancy Upregulated Non-Ubiquitous Calcium-Calmodulin Dependent Kinase (PNCK) In Renal Cell Carcinoma. Renal Cell Carcinoma (RCC) is a uniformly fatal disease when advanced. While immunotherapy and tyrosine kinase inhibitor-based combinations are associated with improved progression-free and overall survival, the majority of patients eventually develop treatment resistance and succumb to progressive, refractory disease. This underscores the urgent need to identify novel, non-canonical RCC targets for drug development. Through a comprehensive pan-cancer, pan-kinome analysis of the Cancer Genome Atlas (TCGA), the understudied kinase, pregnancy upregulated non-ubiquitous calcium-calmodulin dependent kinase (PNCK) was identified as the most differentially overexpressed kinase in RCC. PNCK mRNA was significantly overexpressed in RCC tissues compared to adjacent normal tissue, and its overexpression correlated with tumor T-stage grade and poor disease specific survival in both clear cell and papillary RCCs. PNCK overexpression in VHL mutant and VHL wild type RCC cell lines was associated with increased CREB phosphorylation, as well as increased cell proliferation and cell cycle progression. PNCK down-regulation, conversely, was associated with inhibition of CREB phosphorylation, decreased cell proliferation, cell cycle arrest and increased apoptosis, with differential effects observed between VHL mutant and VHL wild type cell lines. Pathway analyses in PNCK knockdown cells showed significant down regulation of hypoxia and angiogenesis pathways, as well as modulation of pathways promoting cell cycle arrest and apoptosis. The above results demonstrate for the first time the biological role of PNCK, an understudied kinase, in renal cell carcinoma and validate PNCK as a potential novel target for drug development in this fatal disease. | molecular biology |
Molecular architecture of the C. elegans centriole Uncovering organizing principles of organelle assembly is a fundamental pursuit in the life sciences. C. elegans was key in identifying evolutionary conserved components governing assembly of the centriole organelle. However, localizing these components with high precision has been hampered by the minute size of the worm centriole, thus impeding understanding of underlying assembly mechanisms. Here, we used Ultrastructure Expansion coupled with STimulated Emission Depletion microscopy (U-Ex-STED), as well as electron microscopy (EM) and tomography (ET), to decipher the molecular architecture of the worm centriole. Achieving an effective lateral resolution of ~14 nm, we localize centriolar and PeriCentriolar Material (PCM) components in a comprehensive manner with utmost spatial precision. We uncovered that the procentriole assembles from a location on the centriole margin characterized by SPD-2 and ZYG-1 accumulation. Moreover, we found that SAS-6 and SAS-5 are present in the nascent procentriole, with SAS-4 and microtubules recruited thereafter. We registered U-Ex-STED and EM data using the radial array of microtubules, thus allowing us to map each centriolar and PCM protein to a specific ultrastructural compartment. Importantly, we discovered that SAS-6 and SAS-4 exhibit a radial symmetry that is offset relative to microtubules, leading to a chiral centriole ensemble. Furthermore, we establish that the centriole is surrounded by a region from which ribosomes are excluded and to which SAS-7 localizes. Overall, our work uncovers the molecular architecture of the C. elegans centriole in unprecedented detail and establishes a comprehensive framework for understanding mechanisms of organelle biogenesis and function. | cell biology |
Structure of maize BZR1-type β-amylase BAM8 provides new insights into its noncatalytic adaptation Plant {beta}-Amylase (BAM) proteins play an essential role in growth, development, stress response, and hormone regulation. Despite their typical ({beta}/)8 barrel structure as active catalysts in starch breakdown, catalytically inactive BAMs are implicated in diverse yet elusive functions in plants. The noncatalytic BAM7/8 contain N-terminal BZR1 domains and were shown to be involved in the regulation of brassinosteroid signaling and possibly serve as sensors of yet an uncharacterized metabolic signal. While the structures of several catalytically active BAMs have been reported, structural characterization of the catalytically inactive BZR1-type BAMs remain unknown. Here, we determine the crystal structure of Zea mays BZR1-type BAM8 and provide comprehensive insights into its noncatalytic adaptation. Using structural-guided comparison combined with biochemical analysis and molecular dynamics simulations, we revealed conformational changes in multiple distinct highly conserved regions resulting in rearrangement of the binding pocket. Altogether, this study adds a new layer of understanding to starch breakdown mechanism and elucidates the acquired adjustments of noncatalytic BZR1-type BAMs as putative regulatory domains and/or metabolic sensors in plants. | biochemistry |
MPZ-T124M mouse model replicates human axonopathy and suggest alteration in axo-glia communication Myelin is essential for rapid nerve impulse propagation and axon protection. Accordingly, defects in myelination or myelin maintenance lead to secondary axonal damage and subsequent degeneration. Studies utilizing genetic (CNPase-, MAG-, and PLP-null mice) and naturally occurring neuropathy models suggest that myelinating glia also support axons independently from myelin. Myelin protein zero (MPZ or P0), which is expressed only by Schwann cells, is critical for myelin formation and maintenance in the peripheral nervous system. Many mutations in MPZ are associated with demyelinating neuropathies (Charcot-Marie-Tooth disease type 1B [CMT1B]). Surprisingly, the substitution of threonine by methionine at position 124 of P0 (P0T124M) causes axonal neuropathy (CMT2J) with little to no myelin damage. This disease provides an excellent paradigm to understand how myelinating glia support axons independently from myelin. To study this, we generated targeted knock-in P0T124M mutant mice, a genetically authentic model of T124M-CMT2J neuropathy. Similar to patients, these mice develop axonopathy between 2 and 12 months of age, characterized by impaired motor performance, normal nerve conduction velocities but reduced compound motor action potential amplitudes, and axonal damage with only minor compact myelin modifications. Mechanistically, we detected metabolic changes that could lead to axonal degeneration, and prominent alterations in non-compact myelin domains such as paranodes, Schmidt-Lanterman incisures, and gap junctions, implicated in Schwann cell-axon communication and axonal metabolic support. Finally, we document perturbed mitochondrial size and distribution along P0T124M axons suggesting altered axonal transport. Our data suggest that Schwann cells in P0T124M mutant mice cannot provide axons with sufficient trophic support, leading to reduced ATP biosynthesis and axonopathy. In conclusion, the P0T124M mouse model faithfully reproduces the human neuropathy and represents a unique tool for identifying the molecular basis for glial support of axons. | neuroscience |
The endothelial-specific LINC00607 mediates endothelial angiogenic function Long non-coding RNAs (lncRNAs) can act as regulatory RNAs which, by altering the expression of target genes, impact on the cellular phenotype and cardiovascular disease development. Endothelial lncRNAs and their vascular functions are largely undefined. Deep RNA-Seq and FANTOM5 CAGE analysis revealed the lncRNA LINC00607 to be highly enriched in human endothelial cells. LINC00607 was induced in response to hypoxia, arteriosclerosis regression in non-human primates and also in response to propranolol used to induce regression of human arteriovenous malformations. siRNA knockdown or CRISPR/Cas9 knockout of LINC00607 attenuated VEGF-A-induced angiogenic sprouting. LINC00607 knockout in endothelial cells also integrated less into newly formed vascular networks in an in vivo assay in SCID mice. Overexpression of LINC00607 in CRISPR knockout cells restored normal endothelial function. RNA- and ATAC-Seq after LINC00607 knockout revealed changes in the transcription of endothelial gene sets linked to the endothelial phenotype and in chromatin accessibility around ERG-binding sites. Mechanistically, LINC00607 interacted with the SWI/SNF chromatin remodeling protein BRG1. CRISPR/Cas9-mediated knockout of BRG1 in HUVEC followed by CUT&RUN revealed that BRG1 is required to secure a stable chromatin state, mainly on ERG-binding sites. In conclusion, LINC00607 is an endothelial-enriched lncRNA that maintains ERG target gene transcription by interacting with the chromatin remodeler BRG1. | molecular biology |
The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson's disease data Background: Open science and collaboration are necessary to facilitate the advancement of Parkinson's disease (PD) research. Hackathons are collaborative events that bring together people with different skill sets and backgrounds to generate resources and creative solutions to problems. These events can be used as training and networking opportunities. Objective: To coordinate a virtual hackathon to develop novel PD research tools. Methods: 49 early career scientists from 12 countries collaborated in a virtual 3-day hackathon event in May 2021, during which they built tools and pipelines with a focus on PD. Resources were created with the goal of helping scientists accelerate their own research by having access to the necessary code and tools. Results: Each team was allocated one of nine different projects, each with a different goal. These included developing post-genome-wide association studies (GWAS) analysis pipelines, downstream analysis of genetic variation pipelines, and various visualization tools. Conclusion: Hackathons are a valuable approach to inspire creative thinking, supplement training in data science, and foster collaborative scientific relationships, which are foundational practices for early career researchers. The resources generated can be used to accelerate research on the genetics of PD. | genetics |
Chromosome-scale assembly of the lablab genome - A model for inclusive orphan crop genomics Orphan crops (also described as underutilised and neglected crops) hold the key to diversified and climate-resilient food systems. After decades of neglect, the genome sequencing of orphan crops is gathering pace, providing the foundations for their accelerated domestication and improvement. Recent attention has however turned to the gross under-representation of researchers in Africa in the genome sequencing efforts of their indigenous orphan crops. Here we report a radically inclusive approach to orphan crop genomics using the case of Lablab purpureus (L.) Sweet (syn. Dolichos lablab, or hyacinth bean) - a legume native to Africa and cultivated throughout the tropics for food and forage. Our Africa-led South-North plant genome collaboration produced a high-quality chromosome-scale assembly of the lablab genome - the first chromosome-scale plant genome assembly locally produced in Africa. We also re-sequenced cultivated and wild accessions of lablab from Africa confirming two domestication events and examined the genetic diversity in lablab germplasm conserved in Africa. Our approach provides a valuable resource for lablab improvement and also presents a model that could be explored by other researchers carrying out sequencing projects of indigenous crops particularly from Low and middle income countries (LMIC). | genomics |
spSeudoMap: Cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data With advances in computational models, the cellular landscape can be tracked in various tissues using spatial transcriptomics. Since many single-cell RNA-seq (scRNA-seq) data have been obtained after cell sorting, such as when investigating immune cells, integrating these single-cell data with spatial data is limited due to a mismatch of cell types composing the two datasets. Here, we present a method, spSeudoMap, which utilizes sorted scRNA-seq data to train a model for predicting cell types of spatial spots by creating virtual cell mixtures that closely mimic the gene expression profile of spatial transcriptomic data. To overcome the mismatch issue, the cell type exclusively present in the spatial data, pseudotype, was defined. The proportion of pseudotype cells and virtual expression profiles in the cell mixture was determined by pseudobulk transcriptomes. The simulated cell mixture was considered a reference dataset, and the model that predicts the cell composition of the mixture was trained to predict the cell fraction of the spatial data using domain adaptation. First, spSeudoMap was evaluated in human and mouse brain tissues, and the main region-specific neuron types extracted from single-cell data could be precisely mapped to the expected anatomical locations. Moreover, the method was applied to human breast cancer data and described the spatial distribution of immune cell subtypes and their interactions in heterogeneous tissue. Taken together, spSeudoMap is a platform that predicts the spatial composition of cell subpopulations using sorted scRNA-seq data, and it may help to clarify the roles of a few but crucial cell types. | genomics |