bluuebunny/crossref_metadata_2025 huggingface dataset:
SWAP1-SFPS-RRC1 splicing factor complex modulates pre-mRNA splicing to promote photomorphogenesis in Arabidopsis
Authors: Kathare Praveen Kumar , Xin Ruijiao , Ganesan Abirama Sundari , June Viviana M. , Reddy Anireddy S. N. , Huq Enamul
Published: May 2022

Light signals perceived by a group of photoreceptors have profound effects on the physiology, growth, and development of plants. The red/far-red light absorbing phytochromes modulate these aspects by intricately regulating gene expression at multiple levels. Previously, we reported that two splicing factors SFPS (SPLICING FACTOR FOR PHYTOCHROME SIGNALING) and RRC1 (REDUCED RED LIGHT RESPONSES IN CRY1CRY2 BACKGROUND 1), interact with photoactivated phyB to regulate light-mediated pre-mRNA alternative splicing (AS). Here, we report the identification and functional characterization of an RNA binding splicing factor, SWAP1 (SUPPRESSOR-OF-WHITE-APRICOT/SURP RNA-BINDING DOMAIN-CONTAINING PROTEIN1). Loss-of-function swap1-1 mutant is hyposensitive to red light and exhibits a day light-independent early flowering phenotype. SWAP1 physically interacts with both SFPS and RRC1 in a light-independent manner and forms a ternary complex. In addition, SWAP1 also physically interacts with photoactivated phyB and colocalizes with nuclear phyB photobodies. Deep RNA-seq analyses show that SWAP1 regulates the gene expression and pre-mRNA alternative splicing of a large number of genes including those involved in plant responses to light signaling. A comparison with SFPS- and RRC1-regulated events shows that all three splicing factors coordinately regulate the alternative splicing of a subset of genes. Collectively, our study uncovered the function of a new splicing factor, which interacts with photoactivated phyB, in modulating light-regulated development in plants.

SIGNIFICANCE

Regulation of transcription and pre-mRNA alternative splicing is essential for the transcript diversity and modulation of light signaling in plants. Although several transcription factors involved in light signaling have been discovered and characterized in-depth, only a few splicing factors have been shown to be involved in the regulation of light signaling pathways. In this study, we describe the identification and characterization of a new splicing factor SWAP1, which interact with two previously characterized splicing factors, SFPS and RRC1, forming a ternary complex. We show that, like SFPS and RRC1, SWAP1 also interacts with photoactivated phyB, and consistently, swap1 seedlings are hyposensitive to red light. SWAP1 modulates alternative splicing of a large number of genes and a subset of these genes are coordinately regulated by SFPS, RRC1 and SWAP1. These results highlight the importance of not only the transcription factors but also the phyB-interacting splicing factors in light-regulated plant development.
Pseudomonas aeruginosa Elicits Sustained IL-1β Upregulation in Alveolar Macrophages from Lung Transplant Recipients
Authors: Britton Noel , Villabona-Rueda Andres , Whiteside Samantha A. , Mathew Joby , Kelley Matthew , Agbor-Enoh Sean , McDyer John , Christie Jason D. , Collman Ronald G. , Cox Andrea , Shah Pali , D’Alessio Franco
Published: May 2022

Background

Isolation of Pseudomonas aeruginosa (PsA) is associated with increased BAL (bronchoalveolar lavage) inflammation and lung allograft injury in lung transplant recipients (LTR). However, the effect of PsA on macrophage responses in this population is incompletely understood. We examined human alveolar macrophage (AM) responses to PsA and Pseudomonas dominant microbiome in healthy lung transplant recipients (LTR).

Methods

We stimulated THP-1 derived macrophages (THP-1M) and human AM from LTR with different bacteria and LTR BAL derived microbiome characterized as Pseudomonas-dominant. Macrophage responses were assessed by high dimensional flow cytometry, including their intracellular production of cytokines (TNF-α, IL-6, IL-8, IL-1β, IL-10, IL-1RA, and TGF-β). Pharmacological inhibitors were utilized to evaluate the role of the inflammasome in PsA-macrophages interaction.

Results

We observed upregulation of pro-inflammatory cytokines (TNF-α, IL-6, IL-8, IL-1β) following stimulation by PsA compared to other bacteria (Staphylococcus aureus, Prevotella melaninogenica, Streptococcus pneumoniae) in both THP-1 derived and LTR AM, predominated by IL-1β. IL-1β production from THP-1 was sustained after PsA stimulation for up to 96 hours and 48 hours in LTR AM. Treatment with the inflammasome inhibitor BAY11-7082 abrogated macrophage IL-1β and IL-18 production after PsA exposure. BAL Pseudomonas-dominant microbiota elicited an increased IL-1β, similar to PsA, an effect abrogated by the addition of antibiotics.

Conclusion

PsA and PsA-dominant lung microbiota induce sustained IL-1β production in LTR AM. Pharmacological targeting of the inflammasome reduces PsA-macrophage-IL1β responses, underscoring their use in lung transplant recipients.
p75NTR prevents the onset of cerebellar granule cell migration via RhoA activation
Authors: Zanin Juan P. , Friedman Wilma J.
Published: May 2022

Neuronal migration is one of the fundamental processes during brain development. Several neurodevelopmental disorders can be traced back to dysregulated migration. Although substantial efforts have been placed in identifying molecular signals that stimulate migration, little is known about potential mechanisms that restrict migration. These restrictive mechanisms are essential for proper development since it helps coordinate the timing for each neuronal population to arrive and establish proper connections. Moreover, preventing migration away from a proliferative niche is necessary to maintain a pool of proliferating cells until the proper number of neuronal progenitors is attained.

Here, we identify an anti-migratory role for the p75 neurotrophin receptor (p75NTR) in cerebellar development. Our results show that granule cell precursors robustly express p75NTR in the external granule layer (EGL) when they are proliferating during postnatal development, however, they do not express p75NTR when they migrate either from the rhombic lip during embryonic development or from the EGL during postnatal development. We show that p75NTR prevented GCP migration by maintaining elevated levels of active RhoA. The expression of p75NTR was sufficient to prevent the migration of the granule cells even in the presence of BDNF, a well-established chemotactic signal for this cell population. Our findings suggest that the expression of p75NTR might be a critical signal that stops and maintains the GCPs in the proliferative niche of the EGL, promoting the clonal expansion of cerebellar granule neurons.
Musashi1 and its short C-terminal variants regulate pluripotency states in embryonic stem cells
Authors: Chen Youwei , Zhang Hailin , Han Jiazhen , Li Qianyan , Chen Ying , Lin Gufa
Published: May 2022

Musashi1 (MSI1) is a marker for adult stem cells, but little is known for its expression and function in pluripotent stem cells (PSCs). Here we report that MSI1 is expressed in embryonic stem cells (ESCs) and is required for pluripotency maintenance. We found that there exit short c-terminal MSI1 variants (MSI1-C, hMSI1272-362 or mMSI1138-362) in naïve but not primed ESCs. When overexpressed, MSI1 and MSI1-C variants facilitate primed-to-naïve pluripotency transition by elevating the pluripotency of primed hESCs toward a formative-like state, enable better survival of hESCs in human-mouse interspecies cell completion, and enhance the ability of blastoid formation of hESCs after naïve induction. Mechanistically, we show that the MSI1-C variants, though lacking RNA recognition motifs, bind to RNAs, enhance stress resistance and upregulate DNA damage repair genes. Thus, this study demonstrates that ESCs utilize MSI1 and the newly identified short MSI1-C proteins as double swords to regulate pluripotency states.
NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity
Authors: Su Kenong , Katebi Ataur , Kohar Vivek , Clauss Benjamin , Gordin Danya , Qin Zhaohui S. , Karuturi R. Krishna M. , Li Sheng , Lu Mingyang
Published: May 2022

A major question in systems biology is how to identify the core gene regulatory circuit that governs the decision-making of a biological process. Here, we develop a computational platform, named NetAct, for constructing core transcription-factor regulatory networks using both transcriptomics data and literature-based transcription factor-target databases. NetAct robustly infers regulators’ activity using target expression, constructs networks based on transcriptional activity, and integrates mathematical modeling for validation. Our in-silico benchmark test shows that NetAct outperforms existing algorithms in inferring transcriptional activity and gene networks. We illustrate the application of NetAct to model networks driving TGF-β induced epithelial-mesenchymal transition and macrophage polarization.
Alone in a crowd: Effect of a nonfunctional lateral line on expression of the social hormone parathyroid hormone 2
Authors: Venuto Alexandra , Smith Cameron P. , Cameron-Pack Marybelle , Erickson Timothy
Published: May 2022

Parathyroid hormone 2 (Pth2) is a vertebrate-specific neuropeptide whose thalamic expression is upregulated by social contact with conspecifics. However, social interactions fail to stimulate pth2 expression in isolated zebrafish whose lateral line hair cells have been chemically ablated. These results suggest that modulation of pth2 by social context is acutely dependent on mechanosensory information from the lateral line. However, it is unclear how a congenital loss of lateral line function influences the ability of zebrafish to interpret their social environment. In this study, we measure pth2 levels in zebrafish mutants lacking hair cell function in either the lateral line only, or in both the inner ear and lateral line. Socially-raised lateral line mutants express lower levels of pth2 relative to wild type siblings, but there is no further reduction when all sensory hair cells are nonfunctional. However, social isolation of hair cell mutants causes a further reduction in pth2 expression, pointing to additional unidentified sensory cues that influence pth2 production. Lastly, we report that social context modulates fluorescent transgenes driven by the pth2 promoter. Altogether, these data suggest that lateral line mutants experience a form of isolation, even when raised in a social environment.

SUMMARY STATEMENT

Expression of the pro-social neuropeptide pth2 is downregulated in larval zebrafish with a congenital loss of lateral line function. Thus, even in social environments, fish with compromised lateral lines may experience a form of isolation.
Intracortical remodelling increases in highly-loaded bone after exercise cessation
Authors: da Silva Raniere Gaia Costa , Sun Tsim Christopher , Mishra Ambika Prasad , Boyde Alan , Doube Michael , Riggs Christopher Michael
Published: May 2022

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 microradiographs of bone slices from highly-loaded (metacarpal, tibia) and minimally-loaded (rib) bones from 12 racehorses, 6 that died during a period of high-intensity exercise and 6 that had a period of intense exercise followed by at least 35 days of rest prior to death, and measured intracortical canal cross-sectional area (Ca.Ar) and number (N.Ca) to infer remodelling activity across sites and exercise groups. Large canals that are the consequence of bone resorption (Ca.Ar > 0.04 mm2) were 1.4× to 18.7× 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). An intermediate relationship was present in the tibia, and when large canals and smaller canals that result from partial bony infilling (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. Both systems may work synergistically in rest periods to remove excess and damaged tissue.
Predicting Working Memory performance based on specific individual EEG spatiotemporal features
Authors: Changoluisa Vinicio , Poch Claudia , Campo Pablo , Rodriguez Francisco B.
Published: May 2022

Working Memory (WM) is a limited capacity system for storing and processing information, which varies from subject to subject. Several works show the ability to predict the performance of WM with machine learning (ML) methods, and although good prediction results are obtained in these works, ignoring the intersubject variability and the temporal and spatial characterization in a WM task to improve the prediction in each subject. In this paper, we take advantage of the spectral properties of WM to characterize the individual differences in visual WM capacity and predict the subject’s performance. Feature selection was implemented through the selection of electrodes making use of methods to treat unbalanced classes. The results show a correlation between the accuracy achieved with an Regularized Linear Discriminant Analysis (RLDA) classifier using the power spectrum of the EEG signal and the accuracy achieved by each subject in the behavioral experiment response of a WM task with retro-cue. The proposed methodology allows identifying spatial and temporal characteristics in the WM performance in each subject. Our methodology shows that it is possible to predict the WM performance in each subject. Finally, our results showed that by knowing the spatiotemporal characteristics that predict WM performance, it is possible to customize a WM task and optimize the use of electrodes for agile processing adapted to a specific subject. Thus, we pave the way for implementing neurofeedback through a Brain-Computer Interface.
Pattern dynamics and stochasticity of the brain rhythms
Authors: Hoffman C. , Cheng J. , Ji D. , Dabaghian Y.
Published: May 2022

Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored, is the actual structure of the waves—their shapes and patterns over finite timescales. To address this, we used two independent approaches to link wave forms to their physiological functions: the first is based on quantifying their consistency with the underlying mean behavior, and the second assesses “orderliness” of the waves’ features. The corresponding measures capture the wave’s characteristic and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns’ dynamics and the animal’s location, speed and acceleration. Specifically, we studied patterns of θ and γ waves, and Sharp Wave Ripples, and observed speed-modulated changes of the wave’s cadence, an antiphase relationship between orderliness and acceleration, as well as spatial selectiveness of patterns. Further-more, we found an interdependence between orderliness and regularity: larger deviations from steady oscillatory behavior tend to accompany disarrayed temporal cluttering of peaks and troughs. Taken together, our results offer a complementary—mesoscale—perspective on brain wave structure, dynamics, and functionality.
Comparative single-cell transcriptomes of dose and time dependent epithelial-mesenchymal spectrums
Authors: Panchy Nicholas , Watanabe Kazuhide , Takahashi Masataka , Willems Andrew , Hong Tian
Published: May 2022

Epithelial-mesenchymal transition (EMT) is a cellular process involved in development and disease progression. Intermediate EMT states were observed in tumors and fibrotic tissues, but previous in vitro studies focused on time-dependent responses with single doses of signals; it was unclear whether single-cell transcriptomes support stable intermediates observed in diseases. Here, we performed single-cell RNA-sequencing with human mammary epithelial cells treated with multiple doses of TGF-β. We found that dose-dependent EMT harbors multiple intermediate states at nearly steady state. Comparisons of dose- and time-dependent EMT transcriptomes revealed that the dose-dependent data enable higher sensitivity to detect genes associated EMT. We identified cell clusters unique to time-dependent EMT, reflecting cells en route to stable states. Combining dose- and time-dependent cell clusters gave rise to accurate prognosis for cancer patients. Our transcriptomic data and analyses uncover a stable EMT continuum at the single-cell resolution, and complementary information of two types of single-cell experiments.
Amplification is the Primary Mode of Gene-by-Sex Interaction in Complex Human Traits
Authors: Zhu Carrie , Ming Matthew J. , Cole Jared M. , Edge Michael D. , Kirkpatrick Mark , Harpak Arbel
Published: May 2022

Sex differences in complex traits are suspected to be in part due to widespread gene-by-sex interactions (GxSex), but empirical evidence has been elusive. Here, we infer the mixture of ways polygenic effects on physiological traits covary between males and females. We find that GxSex is pervasive but acts primarily through systematic sex differences in the magnitude of many genetic effects (“amplification”), rather than in the identity of causal variants. Amplification patterns account for sex differences in trait variance. In some cases, testosterone may mediate amplification. Finally, we develop a population-genetic test linking GxSex to contemporary natural selection and find evidence for sexually antagonistic selection on variants affecting testosterone levels. Taken together, our results suggest that the amplification of polygenic effects is a common mode of GxSex that may contribute to sex differences and fuel their evolution.

Abstract Figure
Computational prediction and characterization of cell-type-specific and shared binding sites
Authors: Zhang Qinhu
Published: May 2022

Cell-type-specific gene expression is maintained in large part by transcription factors (TFs) selectively binding to distinct sets of sites in different cell types. Recent research works have provided evidence that such cell-type-specific binding is determined by TF’s intrinsic sequence preferences, cooperative interactions with cofactors, cell-type-specific chromatin landscapes, and 3D chromatin interactions. However, computational prediction and characterization of cell-type-specific and shared binding sites is rarely studied. In this paper, we propose two computational approaches for predicting and characterizing cell-type-specific and shared binding sites by integrating multiple types of features, in which one is based on XGBoost and another is based on convolutional neural network (CNN). To validate the performance of our proposed approaches, ChIP-seq datasets of 10 binding factors were collected from the GM12878 (lymphoblastoid) and K562 (erythroleukemic) human hematopoietic cell lines, each of which was further categorized into cell-type-specific (GM12878-specific and K562-specific) and shared binding sites. Then, multiple types of features for these binding sites were integrated to train the XGBoost-based and CNN-based models. Experimental results show that our proposed approaches significantly outperform other competing methods on three classification tasks. To explore the contribution of different features, we performed ablation experiments and feature importance analysis. Consistent with previous studies, we find that chromatin features are major contributors in which chromatin accessibility is the best predictor. Moreover, we identified independent feature contribution for cell-type-specific and shared sites through SHAP values, observing that chromatin features play a main role in the cell-type-specific sites while motif features play a main role in the shared sites. Beyond these observations, we explored the ability of the CNN-based model to predict cell-type-specific and shared binding sites by excluding or including DNase signals, showing that chromatin accessibility significantly improves the prediction performance. Besides, we investigated the generalization ability of our proposed approaches to different binding factors in the same cellular environment or to the same binding factors in the different cellular environments.
Microfluidic chemostatic bioreactor for high-throughput screening and sustainable co-harvesting of biomass and biodiesel in microalgae
Authors: Zheng Guoxia , Cui Yutong , Lu Ling , Guo Ming , Hu Xuejun , Wang Lin , Yu Shuping , Sun Shenxia , Li Yuancheng , Zhang Xingcai , Wang Yunhua
Published: May 2022

As a renewable and sustainable source for energy, environment, and biomedical applications, microalgae and microalgal biodiesel have attracted great attention. However, their applications are confined due to the cost-efficiency of microalgal mass production. One-step strategy and continuous culturing systems could be solutions. However, current studies for optimization throughout microalgae-based biofuel production pipelines are generally derived from the batch culture process. Better tools are needed to study algal growth kinetics in continuous systems. A microfluidics chemostatic bioreactor array was presented, providing low-adhesion cultivation for algae in the gas, nutrition, and temperature (GNT) well-controlled environment with high throughput. The chip wasused to mimic the continuous culture environment of bioreactors. It allowed simultaneously studying of 8×8 different chemostatic conditions on algal growth and oil production in parallel on a 7×7 cm2 footprint. On-chip experiments of batch and continuous cultures of Chlorella. sp. were performed to study growth and lipid accumulation under different nitrogen concentrations. The results demonstrated that microalgal cultures can be regulated to grow and accumulate lipids concurrently, thus enhancing lipid productivity in one step. The developed on-chip culturing condition screening, which was more suitable for continuous bioreactor, was achieved at a half shorter time, 64-times higher throughput, and less reagent consumption. It could be used to establish chemostat cultures in continuous bioreactors which can dramatically accelerate the development of renewable and sustainable algal for CO2 fixation and biosynthesis and related systems for advanced sustainable energy, food, pharmacy, and agriculture with enormous social and ecological benefits.

TEASER

Sustainable microfluidic bioreactor for 64 times higher-throughput screening CO2 fixation and biomass and biodiesel production in microalgae.
Temporally integrated transcriptome analysis reveals ASFV pathology and host response dynamics
Authors: Lv Lin , Zhang Tianyun , Zhang Yanyan , Ahsan Asif , Zhao Xiaoyang , Shen Zhiqiang , Chen Teng , Shen Ning
Published: May 2022

African swine fever virus (ASFV) causes a lethal swine hemorrhagic disease and is currently responsible for widespread damage to the pig industry. The molecular mechanisms of ASFV pathogenicity and its interaction with host responses remain poorly understood. In this study, we profiled the temporal viral and host transcriptomes in porcine alveolar macrophages (PAMs) infected at 6, 12, 24 and 48 hours with highly virulent (SY18) and low virulent (HuB20) ASFV strains. We first identified profound differences in the virus expression programs between SY18 and HuB20, while the transcriptome dynamics in host cells were dominated by infection time. Through integrated computational analysis and experimental validation, we identified differentially expressed genes and related biological processes, and elaborated differential usage of the NF-kappaB related pathways by the two virus strains. In addition, we observed that compared to the highly virulent SY18 strain, HuB20 infection quickly activates expression of receptors, sensors, regulators, as well as downstream effectors, including cGAS, STAT1/2, IRF9, MX1/2, suggesting rapid induction of a strong immune response. Lastly, we constructed a host-virus coexpression network, which shed light on pathogenic functions of several ASFV genes. Taken together, these results will provide a basis for further mechanistic studies on the functions of both viral and cellular genes that are involved in different responses.

Author Summary

Since it was first described in Kenya in 1921, ASF has spread across sub-Saharan Africa, the Caribbean, the Western Europe, the Trans-Caucasus region, and the Russian Federation. Recent outbreaks have also been reported in Asia, which has devastated the pig industry, resulting in an approximately 40% reduction in pork worldwide. In the absence of effective vaccine or treatment, the mortality for infections with highly virulent strains approaches 100%, while low virulent strains causing less mortality spreads fast recently. Nevertheless, the mechanisms of ASFV pathogenicity, especially the differences between highly and low virulent strains remain poorly understood. Here, we used RNA-seq to analyze the viral and host transcriptome changes in PAMs infected with a virulent strain (SY18) or an attenuated strain (HuB20) at different stages. We found that the presence of ASFV significantly affected the cellular transcriptome profile. In addition, we did temporal and described the dynamic expression programs induced in the host cells by ASFV infection of different virulence strains. In particular, we identified differential gene expression patterns in host innate immune responses and expressed cytokines and chemokines between ASFV strains of different virulence. Our study provides new insights into ASFV pathogenicity research and novel drug or vaccine targets.
Conservation of energetic pathways for electroautotrophy in the uncultivated candidate order Tenderiales
Authors: Eddie Brian J. , Bird Lina J. , Pelikan Claus , Mussmann Marc , Martinez-Perez Clara , Pinamang Princess , Malanoski Anthony P. , Glaven Sarah M.
Published: May 2022

Electromicrobiology can be used to understand extracellular electron uptake in previously undescribed chemolithotrophs. Enrichment and characterization of the uncultivated electroautotroph “Candidatus Tenderia electrophaga” using electromicrobiology led to the designation of the order Tenderiales. Representative Tenderiales metagenome assembled genomes (MAGs) have been identified in a number of environmental surveys, yet a comprehensive characterization of conserved genes for extracellular electron uptake has thus far not been conducted. Using comparative genomics we identified conserved orthologous genes within the Tenderiales and nearest neighbor orders important for extracellular electron uptake based on a previously proposed pathway from “Ca. Tenderia electrophaga”. The Tenderiales contained a conserved cluster we designated uetABCDEFGHIJ, which encodes proteins containing features that would enable transport of extracellular electrons to cytoplasmic membrane bound energy transducing complexes such as two conserved cytochrome cbb3 oxidases. For example, UetJ is predicted to be an extracellular undecaheme c-type cytochrome that forms a heme wire. We also identified clusters of genes predicted to facilitate assembly and maturation of electron transport proteins, as well as cellular attachment to surfaces. Autotrophy among the Tenderiales is supported by the presence of carbon fixation and stress response pathways that could allow cellular growth by extracellular electron uptake. Key differences between the Tenderiales and other known neutrophilic iron oxidizers were revealed, including very few Cyc2 genes in the Tenderiales. Our results reveal a possible conserved pathway for extracellular electron uptake and suggests the Tenderiales have an distribution unlimited ecological role coupling metal or mineral redox chemistry and the carbon cycle in marine and brackish sediments.

Importance

Electromicrobiology enables enrichment and identification of chemolithotrophic bacteria capable of extracellular electron uptake to drive energy metabolism and CO2 fixation. The recently described order Tenderiales contains the uncultivated electroautotroph “Candidatus Tenderia electrophaga”. The “Ca. Tenderia electrophaga” genome contains genes proposed to make up a previously undescribed extracellular electron uptake pathway. Here we use comparative genomics to show that this pathway is well conserved among Tenderiales spp. recovered by metagenome assembled genomes. This conservation extends to near neighbors of the Tenderiales, but not to other well-studied chemolithotrophs including iron and sulfur oxidizers. Our findings suggest that extracellular electron uptake may be pervasive among the Tenderiales and the geographic location from which metagenome assembled genomes were recovered offers clues to their natural ecological niche.
MAGNETO: an automated workflow for genome-resolved metagenomics
Authors: Churcheward Benjamin , Millet Maxime , Bihouée Audrey , Fertin Guillaume , Chaffron Samuel
Published: May 2022

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.

IMPORTANCE

Genome-resolved metagenomics has led to the discovery of previously untapped biodiversity within the microbial world. As the development of computational methods for the recovery of genomes from metagenomes continues, existing strategies need to be evaluated and compared to eventually lead to standardized computational workflows. In this study, we compared commonly used assembly and binning strategies and assessed their performance using both simulated and real metagenomic datasets. We propose a novel approach to automate co-assembly, avoiding the requirement for a priori knowledge to combine metagenomic information. The comparison against a previous co-assembly approach demonstrates a strong impact of this step on genome binning results, but also the benefits of informing co-assembly for improving the quality of recovered genomes. MAGNETO integrates complementary assembly-binning strategies to optimize genome reconstruction and provides a complete reads-to-genomes workflow for the growing microbiome research community.
Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection
Authors: Jankowiak Martin , Obermeyer Fritz H. , Lemieux Jacob E.
Published: May 2022

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 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 as well as pairwise interaction effects, i.e. epistasis. Strikingly, both these analyses point to the pivotal role played by the N501 residue in the Spike protein. 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.
Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps
Authors: Spitzer Hannah , Berry Scott , Donoghoe Mark , Pelkmans Lucas , Theis Fabian J.
Published: May 2022

Highly multiplexed quantitative subcellular imaging holds enormous promise for understanding how spatial context shapes the activity of our genome and its products at multiple scales. Yet unbiased analysis of subcellular organisation across experimental conditions remains challenging, because differences in molecular profiles between conditions confound differences in molecular profiles across space. Here, we introduce a deep-learning framework called CAMPA (Conditional Autoencoder for Multiplexed Pixel Analysis), which uses a variational autoencoder conditioned on cellular states and perturbations to learn consistent molecular signatures. Clustering the learned representations into subcellular landmarks allows quantitative comparisons of landmark sizes, shapes, molecular compositions and relative spatial organisation between conditions. By performing high-resolution multiplexed immunofluorescence on human cells, we use CAMPA to reveal how subnuclear organisation changes upon different perturbations of RNA production or processing, and how different membraneless organelles scale with cell size. Furthermore, by integrating information across the cellular and subcellular scales, we uncover new links between the molecular composition of membraneless organelles and bulk RNA synthesis rates of single cells. We anticipate that CAMPA will greatly accelerate the systematic mapping of multiscale atlases of biological organisation to identify the rules by which context shapes physiology and disease.
Allele-specific knockouts reveal a role for apontic-like in the evolutionary loss of larval pigmentation in the domesticated silkworm, Bombyx mori
Authors: Tomihara Kenta , Andolfatto Peter , Kiuchi Takashi
Published: May 2022

The domesticated silkworm, Bombyx mori, and its wild progenitor, B. mandarina, are extensively studied as a model case of the evolutionary process of domestication. A conspicuous difference between these species is the dramatic reduction in pigmentation in both larval and adult B. mori. Here we evaluate the efficiency of CRISPR/Cas9-targeted knockouts of pigment-related genes as a tool to understand their potential contributions to domestication-associated pigmentation loss in B. mori. To demonstrate the efficacy of targeted knockouts in B. mandarina, we generated a homozygous CRISPR/Cas9-targeted knockout of yellow-y. In yellow-y knockout mutants, black body color became lighter throughout the larval, pupal and adult stages, confirming a role for this gene in pigment formation. Further, we performed allele-specific CRISPR/Cas9-targeted knockouts of the pigment-related transcription factor, apontic-like (apt-like) in B. mori × B. mandarina F1 hybrid individuals. Knockout of the B. mandarina allele of apt-like in F1 embryos results in depigmented patches on the dorsal integument of larvae, whereas corresponding knockouts of the B. mori allele consistently exhibit normal F1 larval pigmentation. These results demonstrate a contribution of apt-like to the evolution of reduced pigmentation in B. mori. Together, our results demonstrate the feasibility of CRISPR/Cas9-targeted knockouts as a tool for understanding the genetic basis of traits associated with B. mori domestication.

Brief abstract

Bombyx mori and its wild progenitor are an important model for the study of phenotypic evolution associated with domestication. As proof-of-principle, we used CRISPR/Cas9 to generate targeted knockouts of two pigmentation-related genes. By generating a homozygous knockout of yellow-y in B. mandarina, we confirmed this gene”s role in pigment formation. Further, by generating allele-specific knockouts of apontic-like (apt-like) in B. mori × B. mandarina F1 hybrids, we establish that evolution of apt-like contributed to reduced pigmentation during B. mori domestication.

Graphical TOC/Abstract
A zebrafish embryo screen utilizing gastrulation for identification of anti-metastasis drugs
Authors: Nakayama Joji , Makinoshima Hideki , Gong Zhiyuan
Published: May 2022

Few models exist that allow for rapid and effective screening of anti-metastasis drugs. Here, we present a phenotype-based chemical screen utilizing gastrulation of zebrafish embryos for identification of anti-metastasis drugs. Based on the evidence that metastasis proceeds through utilizing the molecular mechanisms of gastrulation, we hypothesize that chemicals which interrupt zebrafish gastrulation might suppress metastasis of cancer cells. Thus, we developed a drug screening protocol which uses epiboly, the first morphogenetic movement in gastrulation, as a marker. The screen only needs zebrafish embryos and enables hundreds of chemicals to be tested in five hours through observing epiboly progression of a test chemical-treated embryos. In the screen, embryos at the two-cell stage are firstly corrected and then developed to the sphere stage. The embryos are treated with a test chemical and incubated in the presence of the chemical until vehicle-treated embryos develop to 90% epiboly stage. Finally, positive ‘hit’ chemicals that interrupt epiboly progression are selected through comparing epiboly progression of the chemical-treated embryos with that of vehicle-treated embryos under a stereoscopic microscope. Previous study subjected 1,280 FDA-approved drugs to the screen and identified Adrenosterone and Pizotifen as epiboly-interrupting drugs. These drugs were validated to suppress metastasis of breast cancer cells in mice models of metastasis. Furthermore, 11β–Hydroxysteroid Dehydrogenase 1 (HSD11β1) and serotonin receptor 2C (HTR2C), which are primary target of Adrenosterone and Pizotifen respectively, promotes metastasis through induction of epithelial-mesenchymal transition (EMT). That indicates the screen could be diverted to a chemical genetic screening platform for identification of metastasis-promoting genes.
The rescue of epigenomic abnormalities in ICF1 patient iPSCs following DNMT3B correction is incomplete at a residual fraction of H3K4me3-enriched regions
Authors: Krishnan Varsha Poondi , Morone Barbara , Toubiana Shir , Krzak Monika , Strazzullo Maria , Angelini Claudia , Selig Sara , Matarazzo Maria R.
Published: May 2022

Background

Bi-allelic hypomorphic mutations in DNMT3B disrupt DNA methyltransferase activity and lead to Immunodeficiency, Centromeric instability, Facial anomalies syndrome, type 1 (ICF1). While several ICF1 phenotypes have been linked to abnormally hypomethylated repetitive regions, the unique genomic regions responsible for the remaining disease phenotypes remain largely uncharacterized. Here we explored two ICF1 patient-induced pluripotent stem cells (iPSCs) and their CRISPR/Cas9 corrected clones to determine whether gene correction can overcome DNA methylation defects and related/associated changes in the epigenome of non-repetitive regions.

Results

Hypomethylated regions throughout the genome are highly comparable between ICF1 iPSCs carrying different DNMT3B variants, and significantly overlap with those in ICF1-peripheral blood and lymphoblastoid cell lines. These regions include large CpG island domains, as well as promoters and enhancers of several lineage-specific genes, in particular immune-related, suggesting that they are pre- marked during early development. The gene corrected ICF1 iPSCs reveal that the majority of phenotype- related hypomethylated regions re-acquire normal DNA methylation levels following editing. However, at the most severely hypomethylated regions in ICF1 iPSCs, which also display the highest increased H3K4me3 levels and enrichment of CTCF-binding motifs, the epigenetic memory persisted, and hypomethylation was uncorrected.

Conclusions

Restoring the catalytic activity of DNMT3B rescues the majority of the aberrant ICF1 epigenome. However, a small fraction of the genome is resilient to this reversal, highlighting the challenge of reverting disease states that are due to genome-wide epigenetic perturbations. Uncovering the basis for the persistent epigenetic memory will promote the development of strategies to overcome this obstacle.
Composition structures and biologically meaningful logics: plausibility and relevance in bipartite models of gene regulation
Authors: Yadav Yasharth , Subbaroyan Ajay , Martin Olivier C. , Samal Areejit
Published: May 2022

Boolean network models have widely been used to study the dynamics of gene regulatory networks. However, such models are coarse-grained to an extent that they abstract away molecular specificities of gene regulation. In contrast,bipartiteBoolean network models of gene regulation explicitly distinguish genes from transcription factors (TFs). In such models, multiple TFs may simultaneously contribute to the regulation of a gene by forming heteromeric complexes. The formation of heteromeric complexes gives rise tocomposition structuresin the corresponding bipartite network. Remarkably, composition structures can severely restrict the number of Boolean functions (BFs) that can be assigned to a gene. The introduction of bipartite Boolean network models is relatively recent, and so far an empirical investigation of their biological plausibility is lacking. Here, we estimate the prevalence of composition structures arising through heteromeric complexes inHomo sapiens. Moreover, we present an additional mechanism by which composition structures arise as a result of multiple TFs binding to thecis-regulatory regions of a gene and we provide empirical support for this mechanism. Next, we compare the restriction in BFs imposed by composition structures and by biologically meaningful properties. We find that two types of minimally complex BFs, namely nested canalyzing functions (NCFs) and read-once functions (RoFs), are more restrictive than composition structures. Finally, using a compiled dataset of 2687 BFs from published models, we find that composition structures are highly enriched in real biological networks, but that this enrichment is most likely driven by NCFs and RoFs.
Oxytocin attenuates microglial activation and restores social and non-social memory in the APP/PS1 mouse model of Alzheimer’s disease
Authors: Selles Maria Clara , Fortuna Juliana T.S. , de Faria Yasmin P.R. , Longo Beatriz Monteiro , Froemke Robert C. , Chao Moses V. , Ferreira Sergio T.
Published: May 2022

Alzheimer’s disease (AD) is the main cause of dementia in the elderly and is characterized by memory loss, social withdrawal and neurodegeneration, eventually leading to death. Brain inflammation has emerged as a key pathogenic mechanism in AD. We hypothesized that oxytocin, a pro-social hypothalamic neuropeptide with anti-inflammatory properties, could have therapeutic actions in AD. We investigated oxytocin production in mouse models of AD, and evaluated the therapeutic potential of intranasal oxytocin. We observed lower levels of hypothalamic oxytocin in wild-type mice following brain infusion of amyloid-β oligomers (AβOs), as well as in APP/PS1 AD model mice. Treatment of APP/PS1 mice with intranasal oxytocin reduced microglial activation and favored deposition of Aβ in dense core plaques, a potentially neuroprotective mechanism. Oxytocin further alleviated social and non-social memory impairments in APP/PS1 mice. Our findings point to oxytocin as a potential therapeutic target to reduce brain inflammation and correct memory deficits in AD.
Exploring the utility of recombinantly expressed snake venom serine protease toxins as immunogens for generating experimental snakebite antivenoms
Authors: Alomran Nessrin , Blundell Patricia , Alsolaiss Jaffer , Crittenden Edouard , Ainsworth Stuart , Dawson Charlotte A. , Edge Rebecca J. , Hall Steven R. , Harrison Robert A. , Wilkinson Mark C. , Menzies Stefanie K. , Casewell Nicholas R.
Published: May 2022

Snakebite is a neglected tropical disease that causes high rates of global mortality and morbidity. Although snakebite can cause a variety of pathologies in victims, haemotoxic effects are particularly common and are typically characterised by haemorrhage and/or venom-induced consumption coagulopathy. Despite polyclonal antibody-based antivenoms being the mainstay life-saving therapy for snakebite, they are associated with limited cross-snake species efficacy, as there is often extensive toxin variation between snake venoms, including those used as immunogens for antivenom production. This restricts the therapeutic utility of any antivenom to certain geographical regions. In this study, we explored the feasibility of using recombinantly expressed toxins as immunogens to stimulate focused, pathology-specific, antibodies to broadly counteract specific toxins associated with snakebite envenoming. Three snake venom serine proteases (SVSP) toxins, sourced from geographically diverse and medically important viper snake venoms were successfully expressed in HEK293F mammalian cells and used for murine immunisation. Analyses of the resulting antibody responses revealed that ancrod and RVV-V stimulated the strongest immune responses, and that experimental antivenoms directed against these recombinant SVSP toxins, and a mixture of the three different immunogens, extensively recognised and exhibited immunological binding towards a variety of native snake venoms. While the experimental antivenoms showed some reduction in abnormal clotting parameters stimulated by the toxin immunogens and crude venom, specifically reducing the depletion of fibrinogen levels and prolongation of prothrombin times, fibrinogen degradation experiments revealed they broadly protected against venom- and toxin-induced fibrinogenolytic functional activities. Overall, our findings further strengthen the case for the use of recombinant venom toxins as supplemental immunogens to stimulate focused and desirable antibody responses capable of neutralising venom-induced pathological effects, and therefore potentially circumventing some of the limitations associated with current snakebite therapies.