Biology subjects

Fan, Z.

Publications and source records attributed to Fan, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

Systematic Functional Interrogation of Neurodevelopmental Disorder Risk Variants

Neurodevelopmental disorders (NDDs) are highly polygenic, yet the functional consequences of most associated non-coding variants remain unclear. We used a massively parallel reporter assay (MPRA) to test 727 NDD-associated non-coding variants in human neural progenitors, identifying 38 expression-modulating variants (emVars) with regulatory activity. These emVars were predicted to alter transcription factor binding motifs linked to neurodevelopmental signaling and cellular metabolism. We mapped emVars to candidate target genes using expression quantitative trait loci and activity-by-contact (ABC) models. We then used CRISPR droplet sequencing (CROP-seq) in human pluripotent stem cell-derived neurons to identify endogenous target genes and characterize their downstream transcriptional effects. CROP-seq preferentially supported ABC predictions, identified additional regulatory relationships, and revealed convergence on developmentally regulated programs involving neuronal connectivity, synaptic function, and mitochondrial biology. Together, these results connect NDD risk variants to endogenous target genes and shared neurodevelopmental transcriptional programs.

genomics↗

bioRxiv2026

Sum-h2, enabling genetic discovery for deep learning-derived phenotypes through a fast evaluation framework and arena of performance

In the recent growing interest of AI research toward biology, genetic association studies of AI- derived phenotypes from high-content modalities such as images emerges as a powerful means for biological discovery. However, such AI-phenotyping methods still lacks a good optimization target and an efficient evaluation framework. The number of discovered loci was the major criterion for evaluating the quality of AI-derived phenotypes. However, the time and computational resources required for running the GWAS and subsequent loci-clumping are substantial, limiting the rapid development and iteration of deep learning representation algorithms. Here we present a 1000x faster and lightweight framework, sum-h2, than traditional GWAS framework for evaluating genetic discovery through total heritability. We revisit tr(P^(-1) G), previously proposed in the context of evolutionary studies, as a measure of multi-phenotype heritability. We showed that sum-h2, the sum of heritability over phenotypic Principal Components (PCs), is equivalent to the linear transformation-invariant tr(P^(-1) G), through both theoretical proof and simulation studies. Moreover, sum-h2 can be estimated rapidly with minimal information loss over a relatedness-enriched sample, while preserving the relative ranking of endophenotypes by GWAS loci counts. Based on selected UKB data and sum-h2, we set up a Genetic Discovery Arena, enabling rapid and fair comparisons for the development and optimization of deep learning-derived phenotyping methods.

bioinformatics↗

bioRxiv2026

Evolutionary and multi-omic divergences associated with the extreme sexual size dimorphism in spiders

Extreme sexual size dimorphism (SSD) represents one of the most striking forms of phenotypic divergence between the sexes, yet the genomic basis of extreme body-size dimorphism remains poorly understood. Orb-weaving spiders exhibit some of the most pronounced female-biased SSD among terrestrial arthropods, providing an exceptional system for investigating the evolutionary and genomic changes associated with extreme SSD. Here, we combined comparative genomics across 51 spider species with sex-resolved transcriptomic and chromatin profiling in the highly dimorphic Joro spider, Trichonephila clavata. Across spiders, we identified SSD-associated evolutionary-rate shifts in genes involved in chromatin regulation, growth, and cuticle structural organization. We further found a significant positive association between JHAMT copy number and SSD, with larger gene repertoires occurring in more extremely dimorphic lineages. In T. clavata, expanded JHAMT paralogs showed sex- and tissue-biased expression together with sex-specific differences in chromatin accessibility and local chromatin interactions. Integrated multi-omic analyses further revealed coordinated sex-specific differences in transcription, chromatin accessibility, and chromatin interactions across genes involved in ecdysteroid signaling, insulin and growth regulation, and epidermal and cuticular processes. Altogether, these findings provide insight into the evolutionary and regulatory changes associated with extreme female-biased SSD in spiders.

zoology↗

bioRxiv2026

Transthyretin Contributes to Hippocampal Blood-Brain Barrier Recovery Following Intestinal Inflammation, with Reduced Expression in Alzheimer's Disease

Background: The blood-brain barrier (BBB) is increasingly recognized as an active immunoregulatory interface that responds dynamically to systemic inflammation. As intestinal inflammation can influence brain homeostasis through the gut-brain axis, the endogenous mechanisms that preserve BBB integrity during gut-derived inflammatory stress remain poorly understood. Methods and Results: We combined dextran sulfate sodium-induced colitis, fecal microbiota transplantation, aged mice, APP/PS1 mice, human Alzheimer's disease (AD) brain tissue, single-cell RNA sequencing, in vivo BBB permeability assays, and gain- and loss-of-function approaches to investigate adaptive neurovascular responses to gut inflammation and their mechanism in maintaining BBB integrity. Intestinal inflammation induced a region-specific adaptive response characterized by increased hippocampal vascular remodeling and partial restoration of BBB integrity following the initial inflammatory insult. Single-cell transcriptomic analysis identified a transthyretin (TTR)-enriched vascular-associated microglial state accompanying these neurovascular changes. Functional studies demonstrated that TTR contributes to maintaining BBB integrity by promoting endothelial homeostasis and limiting endothelial endocytosis, consistent with modulation of FcRn-associated transport pathways. This adaptive neurovascular response was progressively attenuated in aged mice and APP/PS1 mice and was accompanied by reduced vascular TTR expression in human AD brains. Conclusion: These findings identify TTR as a contributor of adaptive neurovascular homeostasis during gut-derived neuroinflammation. Impairment of this homeostatic response with aging and AD may contribute to persistent BBB dysfunction and chronic neuroinflammation, highlighting neurovascular resilience as a potential therapeutic target.

neuroscience↗

bioRxiv2026

SILCS-Guided Feature Encoding Expands Ligand Recognition at an HBV Core Protein Interface

Hepatitis B virus (HBV) infection depends on coordinated capsid assembly and virion production. A hydrophobic pocket at the intradimer interface of the HBV core protein has been linked to secretion phenotypes and shown to bind small molecules, but its interaction landscape remains poorly defined. Here, we combine atomistic molecular dynamics (MD) simulations, fragment mapping, pharmacophore modeling, and biophysical binding assays to characterize this pocket and identify ligands with binding modes that extend beyond the known pocket. This workflow narrowed an initial library of approximately 4.7 million compounds to eight candidates for experimental evaluation by saturation transfer difference (STD) NMR and surface plasmon resonance (SPR). Of these eight, compound B3 showed detectable STD NMR signals, concentration-dependent SPR binding, and an MD-supported binding mode that retained hydrophobic-pocket anchoring while also extending toward the spike-proximal loop. Together, these results illustrate how dynamic fragment mapping can identify ligand candidates that engage broader interaction landscapes at protein-interface pockets.

biophysics↗

bioRxiv2026

Plasma titration provides a physical ruler for cross-platform proteomics

Plasma proteomics is expanding across platforms and cohorts, and integrating these data for AI demands comparability at the protein level, not merely concordant associations1,2. Affinity and MS platforms use distinct probes (antibodies, aptamers, or peptides) and signal readouts, yielding contradictory cross-platform results3,4. Without a known quantitative truth, we cannot distinguish biology from measurement distortion, leaving no gold standard for integration. Here we introduce Plasmix--a plasma reference suite with predefined male:female ratios (M, 1:0; Y, 3:1; P, 1:1; X, 1:3; F, 0:1)--and show that preserving this quantitative titration gradient, not just technical repeatability, predicts cross-platform concordance and identifies protein measurements suitable for integration. Profiling Plasmix across five platforms (Olink, SomaScan, NULISA, AAgAtlas, and MS-DIA) and 12 protocols across 17 batches, we found discordance is dominated by signal generation, not sample identity, and platforms distort signals in a protein-specific manner. Crucially, proteins retaining the titration response showed stronger agreement in an independent cohort; anchoring to the Plasmix midpoint (P) via sample-to-reference ratios reduced distortions, extending harmonizable coverage by 10-20%. Plasmix thus provides a physical ruler to benchmark accuracy, identifying genuinely integrable measurements before pooling datasets or training AI models--a critical bottleneck for plasma proteomics.

molecular biology↗

bioRxiv2026

Termination dynamics set RNAPII elongation rate and gate the response to CDK12 inactivation

The transcriptional fidelity of RNA polymerase II (RNAPII) is governed by a tight equilibrium between elongation and termination activities, a balance frequently disrupted in human diseases such as cancer. The transcriptional cyclin-dependent kinase 12 (CDK12) maintains RNAPII elongation rate and processivity throughout the gene body. Inactivation of CDK12 disrupts this homeostatic balance and causes elongation stress, slowing RNAPII and triggering premature termination at intronic polyadenylation sites (IPAs). Despite this, the precise executors of intronic premature termination under CDK12-inactivation-induced elongation stress remain poorly understood. Using genome-wide CRISPR screening combined with chemical-genetic approach, we identified a pro-termination mechanism at intronic checkpoints; upon CDK12 inactivation, SCAF4 recruits the cleavage and polyadenylation (CPA) complex through its catalytic endonuclease CPSF3 to execute premature cleavage at IPAs. Disruption of SCAF4-CPA axis prevents early termination, restores full length transcription and confers resistance to CDK12/cyclin K inhibition. Genetic loss of SCAF4 restores the RNAPII elongation rate under CDK12 inhibition, revealing that termination dynamics actively shape the rate of transcription. Supporting this model, we uncovered an anti-termination mechanism driven by KHDRBS1/SAM68, whose depletion promotes proximal termination and sensitises cells to CDK12 targeting. Our findings mechanistically couple elongation and termination activities at intronic checkpoints as joint contributors to both the processivity and elongation rate of RNAPII. This establishes termination dynamics as an active and tractable axis of the cellular response to elongation stress.

molecular biology↗

bioRxiv2026

Functional orthogonality of WRN inhibitor resistance enables alternating therapy and mutation-tolerant inhibitor design in MSI-H cancers

Werner syndrome helicase (WRN) is a synthetic-lethal vulnerability in microsatellite instability-high (MSI-H)/mismatch repair-deficient (dMMR) cancers1-5, and non-covalent and covalent WRN inhibitors are now entering clinical development6-9. A central unresolved question is whether resistance to one WRN inhibitor class inevitably compromises the target, or instead creates actionable vulnerabilities to an alternate modality. Here we generated ten stable acquired-resistance models across three MSI-H cell lines using the non-covalent inhibitor HRO761 and the covalent inhibitor VVD-214. Whole-exome sequencing, biochemical reconstitution and isogenic knock-in models identified recurrent on-target WRN missense mutations as dominant resistance drivers, but with sharply modality-specific spectra: HRO761 resistance clustered at G729/F730/I852, whereas VVD-214 resistance concentrated at E846. These mutations impaired inhibitor engagement and abolished the canonical WRN inhibitor (WRNi)-induced pharmacodynamic cascade, including WRN reduction, DNA damage response (DDR) activation and G2/M arrest. Crucially, most resistance mutations retained biochemical, cellular and in vivo sensitivity to the alternate inhibitor modality, revealing a functional orthogonality that enabled a 7-day cyclic alternating regimen to delay tumour regrowth in xenografts. We further identified F730L as an engineered cross-resistant bottleneck model and used structure-guided, artificial intelligence (AI)-enabled optimization to generate GBA-007, a proof-of-concept mutation-tolerant WRN inhibitor candidate with promising activity against F730L in vitro and in vivo. Thus, clinically relevant WRN inhibitor classes impose distinct on-target resistance trajectories that can be exploited through schedule design, while cross-resistant bottlenecks can be addressed by rapid mutation-aware inhibitor engineering.

Cancer Biology↗

bioRxiv2026

Utilizing a cell culture based novel cellular thermal shift assay to understand the isoform-dependent thermal stability of ApoE variants

Apolipoprotein E (ApoE) is the primary genetic risk modifier of late-onset Alzheimers disease, with the {varepsilon}4 allele increasing risk up to 15-fold relative to {varepsilon}3. The structural differences between isoforms are thought to underlie their distinct effects on lipid transport, receptor binding, and disease risk. ApoE4 exhibits reduced thermodynamic stability compared to ApoE3, but prior characterisation has relied on purified recombinant protein, leaving open whether these differences are preserved in native cellular environments and how they relate to rare disease-associated variants. Here, we employed the cellular thermal shift assay (CETSA) and a bioluminescence-based thermal stability assay (BiTSA) to systematically characterise ApoE thermal stability across isoforms and variants. Using CETSA on brain tissue from humanised APOE knock-in mice and post-mortem human brain, we confirm that ApoE4 exhibits significantly reduced thermal stability compared to ApoE3 in native tissue, with this difference conserved across species despite variation in absolute melting temperatures. We developed BiTSA, which leverages a split-luciferase HiBiT tag to quantify soluble ApoE across a thermal gradient in living cells, providing a higher-throughput platform that faithfully recapitulates isoform stability differences. Applying BiTSA to rare AD-associated variants, we found that L28P exerts divergent, isoform-dependent effects, destabilising ApoE3 while paradoxically stabilising ApoE4--a finding supported by AlphaFold modelling revealing isoform-specific differences in helix 1 architecture. These results establish BiTSA as a robust cellular tool for ApoE variant characterisation and demonstrate that isoform background critically modulates the structural consequences of rare mutations.

neuroscience↗

bioRxiv2026

Improve the Efficacy of B7-H3-Targeting Antibody-Drug Conjugate DS-7300a in TP53-deficient Tumors by Inducing Ferroptosis

Immune checkpoint B7-H3 is an emerging target for immunotherapy. DS-7300a is an advanced B7-H3-targeting antibody-drug conjugate (ADC) warheaded with the topoisomerase I inhibitor DXd. DS-7300a has demonstrated clinical activity, but molecular biomarkers to predict its therapeutic response remain elusive. TP53 is one of the most mutated tumor suppressor genes across cancers, and effective therapies are urgently needed for TP53-deficient cancers. Using prostate cancer (PCa) as a model system, we reported that DS-7300as anti-tumor efficacy is highly dependent on functional p53 in cancer cells, and TP53 defects confer resistance to DS-7300a. Mechanistically, we found that DS-7300a and its payload, DXd, induce DNA damage and activate the ATM/ATR/CHK signaling cascade, thereby stabilizing p53 and inducing a pro-apoptotic and senescence-associated transcriptome. In contrast, TP53-deficient cells fail to detect DXd-induced DNA damage, maintain a high proliferation rate, and exhibit low levels of apoptosis and senescence, thereby conferring resistance to DS-7300a. Ferroptosis is an iron-dependent form of regulated cell death triggered by lipid peroxidation, which is mechanistically and morphologically distinct from apoptosis. Interestingly, DS-7300a treatment elevates lipid peroxidation in TP53-deficient cancer cells and upregulates glutathione peroxidase 4 (GPX4), an antioxidant enzyme that mitigates lipid peroxidation. Using isogeneic xenograft models and a newly developed humanized B7-H3 PCa model, we demonstrated that inducing ferroptosis by pharmacological inhibition of GPX4 enhances DS-7300as efficacy in TP53-deficient tumors. Our studies demonstrate that TP53 status dictates anti-tumor responses to DS-7300a, and ferroptosis induction represents a promising therapeutic approach to overcome resistance to DS-7300a in malignancies harboring TP53 defects.

cancer biology↗

bioRxiv2026

MTB-KB: A Curated Knowledgebase of Mycobacterium tuberculosis Related Studies

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), has regained its position as the worlds leading killer among infectious diseases. Despite extensive research progress across epidemiology, diagnosis, drug development, treatment regimens, vaccines, drug resistance, virulence factors, and immune mechanisms, MTB-related knowledge remains fragmented across thousands of publications, limiting its effective use. To address this gap, we present MTB-KB, a literature-curated knowledgebase that systematically integrates high-impact findings from eight major sections of TB research. The current release contains 75,170 associations from 1,246 publications, covering 18,439 entities standardized using authoritative databases and WHO-endorsed classifications. A central feature is the interactive knowledge graph, which links cross-section associations to reveal and infer MTB-host interactions, treatment strategies, and vaccine development opportunities. MTB-KB also provides a user-friendly interface with browsing, advanced search, and statistical visualization. Overall, by consolidating dispersed MTB knowledge into a structured and accessible platform, MTB-KB provides a valuable resource for researchers, clinicians, and policymakers, supporting both basic and clinical TB research, enabling evidence-based TB prevention, diagnosis, and treatment, and contributing to global elimination efforts. MTB-KB is accessible at https://ngdc.cncb.ac.cn/mtbkb/.

bioinformatics↗

bioRxiv2026

Identification of a somatic H3K23me3 methyltransferase SET-19 in C. elegans

Histone methylation plays essential roles in modulating chromatin organization and gene expression. H3K23 methylation is a conserved histone modification, yet its biological roles and the enzymes responsible for its deposition remain poorly understood. Here, we show that the loss of set-19 leads to a pronounced reduction in H3K23 methylation in C. elegans, as revealed by quantitative mass spectrometry, western blotting, and immunofluorescence staining. In vitro biochemical assays show that recombinant SET-19 proteins purified from E. coli directly catalyze H3K23 methylation. Genome-wide chromatin immunoprecipitation assays reveal that H3K23me3 is enriched at heterochromatic regions and that loss of set-19 alters H3K23me3 levels, accompanied by derepression of gene expression. Genetic analyses indicate that SET-19 is dispensable for both germline and somatic RNAi as well as transgenerational epigenetic inheritance of RNAi. SET-19 is predominantly expressed in somatic cells and specifically mediates H3K23me3 deposition in somatic tissues. The loss of set-19 causes a developmental delay without affecting fertility. Together, our results identify SET-19 as a somatic H3K23 methyltransferase and link H3K23me3 to gene repression in C. elegans.

genetics↗

bioRxiv2026

Hierarchy in neuronal representations of multiple tasks in prefrontal cortex

The ability to perform multiple tasks is one of the fundamental hallmarks of general intelligence in the brain. However, the underlying neural mechanisms remain largely unknown. We trained macaque monkeys to perform four tasks with identical spatial layouts but different cognitive demands, and recorded activities of thousands of prefrontal neurons using two-photon calcium imaging. Within the same neuronal population, we identified a multitask neural geometry composed of multiple low-dimensional subtask spaces, each encoding spatial information within a specific subtask. These subtask spaces shared a ring-like representational structure, forming a generalized spatial code across different subtasks. Task separation arose from separable bases and offsets of subtask spaces, modulated primarily by meta-task features. Thus, the neural geometry is organized by a three-level hierarchical structure: location codes are nested within subtask spaces, which are grouped as different meta-tasks. This hierarchy supported generalization across both locations and tasks, and explained monkeys error behaviors. Together, the hierarchically organized neural geometry underlies flexible multitask behavior.

neuroscience↗

bioRxiv2026

Causal evidence for a shared mechanism linking language and tool use via the putamen

Both human language and tool use--two hallmark capacities of human cognition--depend on organizing discrete elements, i.e., symbols and actions, into highly constrained structured sequences to achieve a functional goal. However, the neural mechanism linking these capacities is unclear. We combined brain lesion analysis, developmental contrast, and functional neuroimaging to test whether the basal ganglia play a causal role in their shared capacity. In 100 adults with focal brain injury, damage to the putamen disrupted both sentence processing and tool use, with impairments specifically explained by reduced goal-dependent sequence integrity for both tasks. Further comparing populations with typical and deprived early language experience (congenitally deaf adults with vs. without early sign language exposure), we found that early language acquisition was associated with improved tool-use performance and strengthened putaminal responses to such goal dependency, which mediated the relationship between sentence sequence integrity and tool behavior. Together, these results identify the putamen as a key neural substrate supporting goal-dependent sequence integrity across language and action, and show how early language experience shapes this conserved control system. One-Sentence SummaryLanguage and tool use share a putamen-based mechanism that supports goal-dependent sequence integrity, and this mechanism is strengthened by early language experience.

neuroscience↗

bioRxiv2026

Dynamic conformational ensembles of soluble Tau encode neuronal toxicity prior to aggregation

Tau aggregation is a defining feature of Alzheimers disease and related tauopathies, yet the conformational states of Tau in neurons prior to aggregation remain poorly understood. Existing structural models are derived largely from fibrillar assemblies and provide limited insight into the dynamic, soluble Tau species that initiate pathology. Here, we combine hydrogen-deuterium exchange mass spectrometry with super-resolution imaging and neuronal models to define the conformational ensemble of soluble Tau under physiological and disease-relevant conditions. We show that soluble Tau populates distinct, dynamic conformations characterized by regional stabilization and long-range intramolecular interactions that are invisible to fibril-based structures. Disease-associated perturbations selectively remodel these conformational ensembles, exposing aggregation-prone regions and altering Tau subcellular organization in neurons. Notably, these Tau species inhibit axonal transport, which is essential for neuronal health, linking specific ensemble states to neuronal toxicity. These findings establish soluble Tau conformation as a dynamic, regulatable state that precedes aggregation and encodes disease relevance. By defining the structural logic of Tau before fibril formation, this work provides a framework for understanding early tauopathy mechanisms and for targeting Tau pathology at its earliest stages. SUMMARYTau pathology is a hallmark of Alzheimers disease (AD) and related dementias (ADRDs). Although Tau is often described as intrinsically disordered, it is a dynamic protein with distinct but poorly defined conformations. Here we conduct a systematic time-resolved structure-function analysis of normal and pathologic Tau, including hyperphosphorylated, mutant Tau, and posttranslational-modification-mimetic Tau. To characterize dynamic conformational changes of Tau, we combined state-of-the-art hydrogen deuterium exchange mass spectrometry with structured illumination microscopy, demonstrating a novel Tau-MT binding mode: "dynamic oscillation". To correlate Tau structure with neuronal function, we evaluated axonal transport as a sensitive readout of neuronal health. Many toxic Tau forms share a common signature of increased exposure of the N-terminal phosphate activating domain (PAD) in vitro and in vivo. Aberrant exposure of PAD correlates with Tau pathology and axonal transport defects. Tau phosphorylation at S262 alone is sufficient to alter Tau-microtubule interactions beyond R1-R4 motifs, globally changing Tau conformation, disrupting "dynamic oscillation" on MTs, and inhibiting axonal transport. Frontotemporal dementia-associated P301L-Tau remains associated with microtubules but also inhibits axonal transport. Our results reveal a well-defined conformation of soluble WT Tau in neurons and its highly dynamic interaction with microtubules, altered by AD/ADRD-Tau forms. Our multidisciplinary approach comprising biochemical manipulations, innovative MS tools, advanced microscopy, cellular assays, and mouse and human data pair Tau conformations with distinct neuronal functions and pathologies in health and disease.

neuroscience↗

bioRxiv2025

Rewiring of RNA-protein coupling in osteocytes in response to hyperglycemic levels of glucose

Osteocytes are central regulators of skeletal homeostasis, yet how their transcriptome and proteome jointly adapt to metabolic stress is unclear. Here, we combined RNA-sequencing with label-free quantitative proteomics in MLO-Y4 osteocytic cells exposed to hyperglycemic levels of glucose, to interrogate RNA-protein coupling at baseline and under hyperglycemic stress. Transcriptionally, high glucose and mannitol elicited overlapping osmoadaptive transcriptional programs indicative of metabolic remodeling, whereas high glucose alone induced mitochondrial and oxidative phosphorylation downregulation alongside selective activation of bone anabolic and inflammatory pathways. RNA-protein integration revealed moderate coupling at baseline, indicating that mRNA levels capture only part of the proteomic output. High glucose reorganized RNA-protein relationship, sorting genes into four patterns of matched or opposing RNA-protein responses. The four groups were enriched in distinct biological pathways that shaped cellular response to stress exposing significant post-transcriptional and translational control under high glucose levels. These data indicate that osteocytes adapt to stress through program-specific RNA-protein interactions in which post-transcriptional regulation of protein translation reshapes the proteome beyond what is predicted by mRNA levels.

bioinformatics↗

bioRxiv2025

Genomic signature of repeated transitions to diurnality in spiders

Repeated transitions to diurnality represent a major behavioral shift in spiders, yet their genomic underpinnings remain largely unknown. Here, we assembled high-quality genomes for nine diurnal spiders using long-read sequencing and compiled diel activity phenotypic data through a combination of meta-analysis and field assessments. By integrating all publicly available spider genomes, we examined the genomic evolutionary dynamics of 67 species including at least 5 independent origins of diurnality. Across diurnal spider lineages, hundreds of genes exhibited convergent shifts in selection, including intensified selection on neural, locomotion, and visual system genes, and relaxed selection on several core phototransduction components. Notably, diurnal spiders showed convergent deceleration in evolutionary rates in circadian regulators, such as CLOCK and CRTC1, and they harbored distinct repertoires of positively selected genes relative to non-diurnal species. In addition, convergent amino acid substitutions were enriched in diurnal hunting spiders. Comparative multi-tissue transcriptomics showed that genes under convergent selection, particularly those involved in vision, sensory processing, nervous system development, and locomotion, tended to exhibit stronger eye- and brain-biased tissue specificity in diurnal species. Altogether, our results reveal convergent genomic changes associated with repeated evolution of diurnality and illustrate how ecological light environments repeatedly shape the molecular evolution of complex animal behavior.

evolutionary biology↗

bioRxiv2025

Brain endothelial PRMT5-ANGPTL4 axis regulates cerebellar inhibitory synaptogenesis and motor coordination

Brain vasculature is essential for central nervous system function, but its specific roles in synaptic development and motor function regulation are poorly understood. In this study, we identify a cerebrovascular signaling axis wherein endothelial PRMT5 critically regulates inhibitory synaptogenesis and motor coordination. Cerebrovascular-specific deletion of Prmt5 gene leads to excessive inhibitory synaptic input onto Purkinje cells and progressive motor deficits in mice. Mechanistically, PRMT5 deficiency epigenetically upregulates the expression of the secreted factor ANGPTL4 through reduced symmetric dimethylation of H3R8 and H4R3, along with increased H3K9 acetylation at the Angptl4 promoter, thereby driving excessive inhibitory synaptogenesis onto Purkinje cells. Importantly, Angptl4 deletion in brain endothelium normalizes inhibitory synaptic input onto Purkinje cells and restores motor coordination in PRMT5-deficient mice. Together, these findings define the endothelial PRMT5-ANGPTL4 axis as a key regulator of cerebellar inhibitory circuitry and motor function, highlighting cerebrovascular mechanisms as potential therapeutic targets for motor coordination disorders. Teaser Cerebrovascular PRMT5 prevents excessive inhibitory synaptogenesis via epigenetic repression of Angptl4.

neuroscience↗