Miracle-dz/UniFAR-FTUs huggingface dataset:
FGF23 directly inhibits osteoprogenitor differentiation in Dmp1-knockout mice

Fibroblast growth factor 23 (FGF23) is a phosphate-regulating (Pi-regulating) hormone produced by bone. Hereditary hypophosphatemic disorders are associated with FGF23 excess, impaired skeletal growth, and osteomalacia. Blocking FGF23 became an effective therapeutic strategy in X-linked hypophosphatemia, but testing remains limited in autosomal recessive hypophosphatemic rickets (ARHR). This study investigates the effects of Pi repletion and bone-specific deletion of Fgf23 on bone and mineral metabolism in the dentin matrix protein 1–knockout (Dmp1KO) mouse model of ARHR. At 12 weeks, Dmp1KO mice showed increased serum FGF23 and parathyroid hormone levels, hypophosphatemia, impaired growth, rickets, and osteomalacia. Six weeks of dietary Pi supplementation exacerbated FGF23 production, hyperparathyroidism, renal Pi excretion, and osteomalacia. In contrast, osteocyte-specific deletion of Fgf23 resulted in a partial correction of FGF23 excess, which was sufficient to fully restore serum Pi levels but only partially corrected the bone phenotype. In vitro, we show that FGF23 directly impaired osteoprogenitors’ differentiation and that DMP1 deficiency contributed to impaired mineralization independent of FGF23 or Pi levels. In conclusion, FGF23-induced hypophosphatemia is only partially responsible for the bone defects observed in Dmp1KO mice. Our data suggest that combined DMP1 repletion and FGF23 blockade could effectively correct ARHR-associated mineral and bone disorders.
Transcriptomes and metabolism define mouse and human MAIT cell populations

Mucosal-associated invariant T (MAIT) cells are a subset of T lymphocytes that respond to microbial metabolites. We defined MAIT cell populations in different organs and characterized the developmental pathway of mouse and human MAIT cells in the thymus using single-cell RNA sequencing and phenotypic and metabolic analyses. We showed that the predominant mouse subset, which produced IL-17 (MAIT17), and the subset that produced IFN-γ (MAIT1) had not only greatly different transcriptomes but also different metabolic states. MAIT17 cells in different organs exhibited increased lipid uptake, lipid storage, and mitochondrial potential compared with MAIT1 cells. All these properties were similar in the thymus and likely acquired there. Human MAIT cells in lung and blood were more homogeneous but still differed between tissues. Human MAIT cells had increased fatty acid uptake and lipid storage in blood and lung, similar to human CD8 T resident memory cells, but unlike mouse MAIT17 cells, they lacked increased mitochondrial potential. Although mouse and human MAIT cell transcriptomes showed similarities for immature cells in the thymus, they diverged more strikingly in the periphery. Analysis of pet store mice demonstrated decreased lung MAIT17 cells in these so-called “dirty” mice, indicative of an environmental influence on MAIT cell subsets and function. Description MAIT cells have tissue-specific transcriptional programs and metabolic differences from other T cells, partially due to environment. Editor’s summary Mucosal-associated invariant T (MAIT) cells are a subset of T cells that sense microbial metabolites. Chandra et al. analyzed MAIT cells in mice and humans to better understand how the local environment influences MAIT cell development and function. They used single-cell RNA sequencing and phenotypic and metabolic analyses and observed that MAIT cell transcriptional and metabolic programs originated in the thymus but was also influenced by local tissue environment. IL-17–producing MAIT cells (MAIT17) were dominant in murine lung, and IFN-γ–producing MAIT1 cells were more frequent in the liver. “Dirty” pet store mice had fewer lung MAIT17 cells compared with lab strains, indicating influence of external environment. Human MAIT cells showed less heterogeneity than murine counterparts, and their properties differed more strikingly in the periphery. These findings confirm that the environment influences MAIT cell development and function. —Christiana Fogg
Genetic sex determination in three closely related hydrothermal vent gastropods, including one species with intersex individuals

Molluscs have a wide variety of sexual systems and have undergone many transitions from separate sexes to hermaphroditism or vice versa, which is of interest for studying the evolution of sex determination and differentiation. Following the serendipitous observation that sex was the primary driver of genetic structure in the hydrothermal vent gastropod Alviniconcha boucheti, we investigated sexual systems and sex determination in this species and two others of the same genus. We combined genome-wide multi-locus genotypes obtained from RAD sequencing with anatomical observations of the gonads of the three Alviniconcha species occurring in the southwest Pacific Ocean: A. boucheti (n=199), A. strummeri (n=41 ind.) and A. kojimai (n=246). In two of the species (A. boucheti and A. strummeri), the sexes are separate and genetically determined by a male-heterogametic (XY) system. External observation of the gonads in the third species (A. kojimai) also suggested that the sexes were separate, but histological analyses revealed that 76% of the individuals classified as females from external observation of the gonads presented a mosaic of male and female reproductive tissue. Empirical analyses and simulations showed nonetheless that 14 RAD loci were sex-linked with an XY signature in A. kojimai (as compared with 64 in A. strummeri and 373 in A. boucheti). Comparison across species and mapping of RAD loci to a non-contiguous reference genome assembly of the related species A. marisindica showed that all sex-linked loci identified in A. kojimai are located on five scaffolds that also contain 15 and 67 sex-linked RAD loci in the other two species, respectively. These results suggest that all three Alviniconcha species share the same XY sex determination system, but that the gonad of XX A. kojimai individuals are invaded by a variable proportion of male reproductive tissue. It remains to be seen whether the male tissue in these intersex individuals is functional or not. The identification of Y-specific RAD loci (found only in A. boucheti) and the phylogenetic analysis of three sex-linked loci shared by all species suggested that X-Y recombination has evolved differently within each species. This situation of three species showing variation in gonadal development around a probably common sex determination system provides new insights into the reproductive mode of poorly known deep-sea species and questions the evolution of gametogenetic polymorphism in these species.
Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment

Brain dynamic functional connectivity characterises transient connections between brain regions, changing over time. Features of brain dynamics have been linked to emotion and cognition in adult individuals, and atypical patterns have been associated with neurodevelopmental conditions such as autism. Although reliable functional brain networks have been consistently identified in neonates, little is known about the early development of dynamic functional connectivity. In this study we characterise dynamic functional connectivity with functional magnetic resonance imaging (fMRI) in the first few weeks of postnatal life in term-born (n = 324) and preterm-born (n = 66) individuals. We show that a dynamic landscape of brain connectivity is already established by the time of birth in the human brain, characterised by six transient states of neonatal functional connectivity with changing dynamics through the neonatal period. The pattern of dynamic connectivity is atypical in preterm-born infants, and associated with atypical social, sensory, and repetitive behaviours measured by the Quantitative Checklist for Autism in Toddlers (Q-CHAT) scores at 18 months of age.
Unlocking the Mechanism of Action: A Cost-Effective Flow Cytometry Approach for Accelerating Antimicrobial Drug Development

Antimicrobial resistance is one of the greatest challenges to global health. While the development of new antimicrobials can combat resistance, low profitability is reducing the number of new compounds brought to the market. Elucidating the mechanism of action is crucial for developing new antimicrobials. This process can become expensive as there are no universally applicable pipelines and scientific expertise in different fields is required. One way to determine the mechanism of action is the use of predictive modeling, as antimicrobials can be classified into limited groups. We demonstrate a cost-effective flow cytometry approach for determining the mechanisms of action of new compounds. Cultures of Actinomyces viscosus and Fusobacterium nucleatum were treated with a range of antimicrobials and measured by flow cytometry. A Gaussian mixture mask was applied over the data to construct a phenotypic fingerprint. The fingerprints were used to train random forest classifiers, and classifiers were used to predict the mechanism of action of cephalothin. Significant statistical differences were found among the 10 different treatment groups. A pairwise comparison between treatment groups showed a statistical difference for 35 out of 45 pairs for Actinomyces viscosus and 32 out of 45 pairs for Fusobacterium nucleatum after 3.5h of treatment. The best performing random forest classifier yielded a Matthews correlation coefficient of 0.92 and the mechanism of action of cephalothin could be successfully predicted. These findings suggest that flow cytometry can be a cheap and fast alternative for determining the mechanism of action of new antimicrobials.
A Novel Hierarchical Network-Based Approach to Unveil the Complexity of Functional Microbial Genome

Biological networks are pivotal in elucidating intricate biological processes. While substantial research has delved into interspecies environmental interactions within biological networks, intraspecific functional gene interactions within individual microbes remain relatively untapped. The burgeoning availability of microbiome datasets underscores the imperative for a refined examination of microbial genome structures and functions. We innovatively introduce the concept of “Solid Motif Structures (SMS)” through a meticulous biological network analysis of genomes from the same genus, aiming to bridge the gap between the structural and functional intricacies of microbial genomes. Harnessing publicly available data from 162 high-quality Microcystis genomes, a globally prevalent freshwater cyanobacterium instrumental in microbial ecosystems, a comprehensive genome structure network for Microcystis was delineated. Employing a state-of-the-art deep learning scheme, we discerned 27 pivotal functional subnetworks and an array of functionally-associated SMS. Incorporating metagenomic data from seven geographically diverse lakes, we embarked on an exhaustive analysis of the functional stability of Microcystis across varied environmental matrices. This culminated in the identification of distinct functional interaction models for each lake. Our research amalgamates these insights into a comprehensive resource repository, furnishing unparalleled perspectives into the functional interplay within Microcystis. Leveraging advanced biological network analysis, our study pioneers the delineation of a novel network granularity, facilitating a more lucid comprehension of the dynamic interplay between genome structure and function interactions in microorganisms of the same genus. This study shed light on the plasticity and conservation of microbial functional genomes across diverse environments, offering insights into their evolutionary trajectories.
Histone H1x in mouse ventral hippocampus correlates with, but does not cause behavioral adaptations to stress

Prior research has identified differential protein expression levels of linker histone H1x within the ventral hippocampus (vHipp) of stress-susceptible versus stress-resilient mice. These mice are behaviorally classified based on their divergent responses to chronic social stress. Here, we sought to determine whether elevated vHipp H1x protein levels directly contribute to these diverging behavioral adaptations to stress. First, we demonstrate that stress-susceptible mice uniquely express elevated vHipp H1x protein levels following chronic stress. Given that linker histones coordinate heterochromatin compaction, we hypothesize that elevated levels of H1x in the vHipp may impede pro-resilience transcriptional adaptations and prevent development of the resilient phenotype following social stress. To test this, 8–10-week-old male C57BL/6J mice were randomly assigned to stressed and unstressed groups undergoing 10 days of chronic social defeat stress (CSDS) or single housing respectively. Following CSDS, mice were classified as susceptible versus resilient based on their social interaction behaviors. We synthesized a viral overexpression (OE) vector for H1x and transduced experimental mice with either H1x or control GFP within vHipp. Following viral delivery, we conducted social, anxiety-like, and memory-reliant behavior tests on distinct cohorts of mice. We found no behavioral adaptations following H1x OE compared to GFP controls in susceptible, resilient, or unstressed mice. In sum, although we confirm vHipp protein levels of H1x correlate with susceptibility to social stress, we observe no significant behavioral consequence of H1x OE. Thus, we conclude elevated levels of H1x are correlated with, but are not singularly sufficient to drive development of behavioral adaptations to stress.
A paradoxical population structure of var DBLα types in Africa

The var multigene family encodes the P. falciparum erythrocyte membrane protein 1 (PfEMP1), which is important in host-parasite interaction as a virulence factor and major surface antigen of the blood stages of the parasite, responsible for maintaining chronic infection. Whilst important in the biology of P. falciparum, these genes (50 to 60 genes per parasite genome) are routinely excluded from whole genome analyses due to their hyper-diversity, achieved primarily through recombination. The PfEMP1 head structure almost always consists of a DBLα-CIDR tandem. Categorised into different groups (upsA, upsB, upsC), different head structures have been associated with different ligand-binding affinities and disease severities. We study how conserved individual DBLα types are at the country, regional, and local scales in Sub-Saharan Africa. Using publicly-available sequence datasets and a novel ups classification algorithm, cUps, we performed an in silico exploration of DBLα conservation through time and space in Africa. In all three ups groups, the population structure of DBLα types in Africa consists of variants occurring at rare, low, moderate, and high frequencies. Non-rare variants were found to be temporally stable in a local area in endemic Ghana. When inspected across different geographical scales, we report different levels of conservation; while some DBLα types were consistently found in high frequencies in multiple African countries, others were conserved only locally, signifying local preservation of specific types. Underlying this population pattern is the composition of DBLα types within each isolate DBLα repertoire, revealed to also consist of a mix of types found at rare, low, moderate, and high frequencies in the population. We further discuss the adaptive forces and balancing selection, including host genetic factors, potentially shaping the evolution and diversity of DBLα types in Africa.
Interaction between Solo and PDZ-RhoGEF is involved in actin cytoskeletal remodeling and response to substrate stiffness

Recent findings indicate that Solo, a RhoGEF, is involved in cellular mechanical stress responses. However, the mechanism of actin cytoskeletal remodeling via Solo remains unclear. Therefore, this study was aimed at identifying Solo-interacting proteins using the BioID, a proximal-dependent labeling method and elucidating the molecular mechanisms of function of Solo. We identified PDZ-RhoGEF (PRG) as a Solo-interacting protein. PRG co-localized with Solo in the basal area of cells, depending on Solo localization, and enhanced actin polymerization at Solo accumulation sites. Additionally, Solo and PRG interaction was necessary for actin cytoskeletal remodeling and RhoA activation. Moreover, overexpression of the binding domains of Solo and PRG had a dominant-negative effect on actin polymerization and actin stress fiber formation in response to substrate stiffness. Therefore, Solo restricts the localization of PRG and regulates actin cytoskeletal remodeling in synergy with PRG in response to the surrounding mechanical environment.
The dynamics of protein-RNA interfaces using all-atom molecular dynamics simulations

Facing the current challenges raised by human health diseases requires the un-derstanding of cell machinery at a molecular level. The interplay between proteins and RNA is key for any physiological phenomenon, as well protein-RNA interactions. To understand these interactions many experimental techniques have been developed, spanning a very wide range of spatial and temporal resolutions. In particular, the knowledge of tridimensional structures of protein-RNA complexes provides structural, mechanical and dynamical pieces of information essential to understand their functions. To get insights into the dynamics of protein-RNA complexes, we carried out all-atom molecular dynamics simulations in explicit solvent on nine different protein-RNA com-plexes with different functions and interface size by taking into account the bound and unbound forms. First, we characterized structural changes upon binding and for the RNA part the change in the puckering. Second, we extensively analyzed the interfaces and the structural waters involved in the binding. Based on our analysis, the interfaces rearranged during the simulation time showing alternative and stable residue-residue contacts with respect to the experimental structure.
Elimination of contamination in the published 16S rRNA gene sequence of Rothia amarae type strain J18T during phylogenetic studies of a bacterial isolate from a suspension cell culture of Arabidopsis thaliana (Heynh.)

In our phylogenetic studies of a bacterial strain isolated from an Arabidopsis suspension culture, we obtained convincing evidence for contamination of the published 16S rRNA gene sequence of Rothia amarae type strain J18T (GenBank AY043359.1). Correction of this sequence by deleting the contamination region eliminated contradictions in bioinformatic results that included comparisons of the small-subunit (SSU) rRNA secondary structures. Further, correction of the contaminated sequence yielded sequence identity values for the 16S rRNA genes of the isolate and R. amarae type strain J18T (and more than a dozen other R. amarae members) above the threshold for species demarcation. The phylogram of the 16S rRNA gene sequences of the type strains closely related to the isolate under study (interspecies sequence identity values, 96–98.7%) united members of the family Micrococcaceae (the genera Rothia, Kocuria and Arthrobacter). A great diversity of habitat conditions was noted for these bacteria, isolated from animals, soil, aqueous media, plant tissues and other sources. This applies, in particular, to R. amarae members that are most closely related to the isolate under study by the 16S rRNA gene sequence criterion (sequence identity, near 100%) and belong to four ecotypes: Antarctic, aquatic, soil and endophytic.
Identification of novel autophagy inducers by accelerating lysosomal clustering against Parkinson’s disease

Autophagy-lysosome pathway plays an indispensable role in the intracellular protein quality control system, degrading abnormal organelles and proteins. Among these proteins is α-Synuclein (αSyn), which is associated with the pathogenesis of Parkinson’s disease (PD). However, the activation of this lysosome-dependent degradation strategy is restricted by enzyme complementation. In this study, we focused on the phase of autophagosome-lysosome fusion around the microtubule organizing center (MTOC) that leads to αSyn degradation. Through high-throughput chemical screening, we identified six clinically available drugs that enhance autophagy and can accumulate lysosomes around the MTOC from approximately 1,200 drugs screened. We further demonstrated that these compounds induce lysosomal clustering through a JIP4-TRPML1-dependent mechanism, which is associated with autophagy induction. Among these, the lysosomal clustering compound albendazole was observed to promote the autophagy-dependent degradation of Triton-X-insoluble proteasome inhibitor-induced aggregates (p62). In a cellular PD model, albendazole boosted the degradation of insoluble αSyn, an effect that was reversed upon the addition of bafilomycin A1. Our results suggest that lysosomal clustering can facilitate the breakdown of protein aggregates. Therefore, compounds that promote lysosomal clustering may offer a promising therapeutic strategy against neurodegenerative diseases characterized by the presence of aggregate-prone proteins.
Unravelling the Role of Candida albicans Prn1 in the Oxidative Stress Response Through a Proteomic Approach

Candida albicans Prn1 is a protein that shares similarities with mammalian Pirin but with an unknown function in the yeast. Orthologues of Prn1 have been identified in other pathogenic fungi but not in Saccharomyces cerevisiae, suggesting a relationship with pathogenesis. Prn1 increase in abundance after H2O2 treatment has been shown previously, thus, in the present work, C. albicans prn1Δ mutant and the corresponding wild-type strain SN250 have been treated with H2O2 and their response was studied by quantitative differential proteomics. These assays indicated a lower increase of proteins with oxidoreductase activity after treatment in the prn1Δ strain compared to the wild type, as well as an increase in proteasome-activating proteins and a decrease in translation-involved proteins. Accordingly, Prn1 absence, under H2O2 treatment, led to a lower survival rate and a higher percentage of apoptosis, together with higher reactive oxygen species levels and higher proteasome activity. Besides, remarkable differences in the abundance of some transcription factors were observed between the two strains. Mnl1, involved in Prn1 expression, Bas1, Tiff33, and orf19.1150 presented an inverse pattern of expression under H2O2 treatment respect to Nrg1, a Mnl1 antagonist. Interestingly, orf19.4850, a protein orthologue to S. cerevisiae Cub1, has shown to be involved in the response to H2O2 presenting a conserved proteasome function. Under basal conditions, the proteomics results indicate a possible involvement of Prn1 in mitochondrial oxidative stress detoxication. Our experiments confirm Prn1 as a relevant actor in the oxidative response. Importance Candida albicans is a human opportunistic pathogen included in the WHO fungal priority pathogens list. The increase in resistant strains necessitates the discovery of new targets for antifungal therapies. Our research sheds light on the important role of the previously uncharacterized C. albicans protein Prn1 during the oxidative stress response. Study of the proteome remodelling under oxidative stress unveils the role of Prn1 in the decreased reactive oxygen species levels and the consequences, such as death by apoptosis and necrosis or cell growth delay. A proteomics approach allowed the identification of several proteins potentially involved in Prn1 activity, such as oxidoreductases and transcription factors. The lack of Prn1 orthologues in Saccharomyces cerevisiae but the presence in other Candida and Aspergillus species implicates this protein in pathogenesis and suggests that it may serve as a candidate for new drug targets.