Biology subjects

Zhou, Z.

Publications and source records attributed to Zhou, Z..

At least 73 records · Page 4Linked to original sources

bioRxiv2026

Production of mouse ultrasonic vocalizations and distress calls is associated with different patterns of Fos expression in the nucleus retroambiguus

Animals produce different vocalization types, which differ in their acoustic features and are produced in different behavioral contexts. How vocalization-related brain circuits are organized to enable the production of different vocalization types remains poorly understood. The nucleus retroambiguus is a hindbrain premotor region that regulates the production of both ultrasonic vocalizations (USVs) and distress calls (squeaks) in adult mice, but whether distinct or overlapping populations of RAm neurons are recruited during the production of these two vocalization types is unknown. In the current study, we used Fos immunohistochemistry to compare the counts and spatial distributions of Fos-positive RAm neurons in males and females that produced USVs and females that produced courtship squeaks. We also combined in vivo activity-dependent (TRAP2) labeling with Fos immunohistochemistry to directly compare Fos expression associated with the production of USVs and courtship squeaks in the same females. Our findings suggest that RAm contains three vocalization-related populations of neurons: squeak-related neurons, USV-related neurons, and shared neurons that are recruited during both vocalization types. These findings refine current models of the premotor control of vocalization and set the stage for future work to explore anatomical and functional heterogeneity within RAm.

neuroscience↗

bioRxiv2026

Chronic cold exposure induces plasticity of mitochondrial calcium uptake in beige and brown fat of UCP1-deficient mice.

Brown adipose tissue (BAT) is a unique tissue with mitochondria specialized for thermogenesis via the BAT-specific uncoupling protein 1 (UCP1). Ucp1-/- mice cannot tolerate acute exposure to cold, illustrating the necessity of UCP1 for efficient mitochondrial thermogenesis. However, these mice adapt to low temperatures through a gradual acclimation process, suggesting a high degree of mitochondrial plasticity in brown and beige fat cells. This phenomenon, which remains to be fully elucidated, indicates the potential for these mitochondria to implement effective thermogenic mechanisms in the absence of uncoupling protein 1 (UCP1). Here, we investigated mitochondrial remodeling in beige and brown fat of Ucp1-/- mice to determine how they fulfill their thermogenic role. Upon gradual acclimation to a cold environment, Ucp1-/- mice exhibited body metabolic parameters and temperatures in the interscapular region similar to those of wild-type mice of BAT, highlighting effective thermogenesis. Interestingly, mitochondrial patch-clamp analysis and a mitochondrial Ca2+ swelling assay revealed a dramatic increase in Ca2+ uptake depending on the mitochondrial calcium uniporter (MCU) in BAT mitochondria from Ucp1-/- mice when robust thermogenesis was required. Mitochondrial remodeling was accompanied by markedly increased tethering between mitochondria and the endoplasmic reticulum (ER) in Ucp1-/-mice, confirming a significant restructuring of the contact sites between the ER and mitochondria, likely to adapt to a new Ca2+ homeostasis. Respiratory complexes also underwent significant reorganization, which partly led to a reduction in their assembly. Levels of ATP synthase and its F1 subcomplex increased, suggesting a major source of ATP consumption and energy expenditure. We propose a new role for MCU as a key regulator of mitochondrial plasticity, enabling efficient thermogenesis in beige and brown adipose tissues in the absence of UCP1.

physiology↗

bioRxiv2026

Bacillus velezensis-derived muropeptide promotes growth of zebrafish via NOD2-mediated induction of IGF1 signaling

The role of gut microbiome in regulating vertebrate metabolism has been well-recognized. However, the effects of gut bacteria on growth have been less studied. Bacillus is a prevalent genus in the gut microbiota of human and animals. In this study, the effect of gut-derived Bacillus velezensis T23 on growth was investigated in zebrafish. B. velezensis T23 improved the growth of zebrafish and promoted IGF1 production in the liver and muscle, with a concomitant activation of the AKT/mTOR signaling pathway. The growth-promoting effect of B. velezensis T23 was not dependent on lipopeptides and polyketides. Cell wall peptidoglycan isolated from B. velezensis T23, as well as muramyl dipeptide (MDP), was sufficient to stimulate IGF1 signaling and growth. Further, the effect of B. velezensis T23 on growth and IGF1 production was abrogated in nod2-/- zebrafish, confirming that B. velezensis T23 promoted growth via MDP-NOD2 signaling. Gut transcriptomic analysis indicated that B. velezensis T23 promoted renewal and differentiation of intestinal cells, suggesting an involvement of gut-liver axis in the effect of B. velezensis T23 on systemic IGF1 production. Together, our results revealed an effect of gut Bacillus-derived muropeptide on growth via NOD2-IGF1 signaling, and provided novel mechanistic insights in the beneficial effect of Bacillus spp. as probiotics.

microbiology↗

bioRxiv2026

VarDCL: A Multimodal PLM-Enhanced Framework for Missense Variant Effect Prediction via Self-distilled Contrastive Learning

Missense variants are a common type of genetic mutation that can alter the structure and function of proteins, thereby affecting the normal physiological processes of organisms. Accurately distinguishing damaging missense variants from benign ones is of great significance for clinical genetic diagnosis, treatment strategy development, and protein engineering. Here, we propose the VarDCL method, which ingeniously integrates multimodal protein language model embeddings and self-distilled contrastive learning to identify subtle sequence and structural differences before and after protein mutations, thereby accurately predicting pathogenic missense variants. First, leveraging sequence and structural information before and after mutations, VarDCL generates sequence-structural multimodal features via different language models. It incorporates both global and local perspectives of feature embeddings to provide the model with dynamic, multimodal, and multi-view input data. Additionally, a Self-distilled Contrastive Learning (SDCL) module was proposed to enable more effective information integration and feature learning, enhancing the models ability to detect sequence and structural changes induced by mutations. Within this module, the multi-level contrastive learning framework excels at capturing information differences before and after mutations within the same modality; meanwhile, the feature self-distillation mechanism effectively utilizes high-level fused features to guide the learning of low-level differential features, facilitating information interaction across different modalities. The VarDCL framework not only ensures the models capacity to learn dynamic changes pre- and post-mutation but also significantly improves cross-modal information interaction between sequence and structure, thereby remarkably boosting the models performance in distinguishing pathogenic mutations from benign ones. To validate the effectiveness of VarDCL, extensive experiments were conducted. The ablation study demonstrates that all key components of VarDCL contribute significantly. On an independent test set containing 18,731 clinical variants, VarDCL achieved an AUC of 0.917, an AUPR of 0.876, an MCC of 0.690, and an F1-score of 0.789, outperforming 21 state-of-the-art existing methods. Benchmark analysis shows that VarDCL can be utilized as an accurate and potent tool for predicting missense variant effects.

bioinformatics↗

bioRxiv2026

Comparison of Deep Learning Tools for Optic Nerve Axon Quantification Finds Limited Generalizability on Independent Validation

PurposeMachine learning approaches for automated quantification of optic nerve histology have emerged as potential tools for objective assessment of axonal injury in experimental glaucoma models. However, the generalizability of these models to independent datasets remains unclear. Guided by a scoping review of the literature, this study performed independent validation testing of publicly available models on a novel rat optic nerve dataset to assess their generalizability. MethodsWe conducted a scoping review following PRISMA-ScR guidelines. PubMed, EMBASE, Scopus, and Cochrane CENTRAL were searched from 2000 through 2025. Two reviewers independently screened records and extracted data on model characteristics and performance metrics. Additionally, we performed independent validation of three models (AxoNet, AxonDeepSeg, AxoNet 2.0) on a novel rat optic nerve dataset comprising 57 images with 9,514 manually annotated axons. Because AxonDeep is not publicly available, we instead evaluated AxonDeepSeg, a separate publicly available deep learning-based tool that, while not previously applied to optic nerve tissue, is widely used for nerve fiber segmentation. ResultsFrom 2,036 records, four manuscripts describing three deep learning models met inclusion criteria. Published correlation coefficients between model predictions and reference counts ranged from 0.959 to 0.99. On independent validation, performance was reduced: AxoNet 2.0 achieved the highest correlation (r = 0.89), followed by AxonDeepSeg (r = 0.86) and AxoNet (r = 0.79). Segmentation quality metrics revealed high precision (>0.94) but low recall (0.18 to 0.27), with Dice coefficients of 0.29 to 0.40, substantially below published benchmarks of 0.81. ConclusionsDeep learning models for optic nerve histology demonstrate strong within-study performance but show meaningful performance decrements when applied to independent datasets. The observed generalizability gap (correlations 0.07 to 0.182 points below published values) demonstrates the need for standardized validation datasets and multi-center testing before widespread adoption of these tools.

bioengineering↗

bioRxiv2026

Neutrophil-targeted delivery of circSCMH1 unlocks an acute anti-thromboinflammatory function to restore microvascular perfusion in stroke

ObjectivesFutile recanalization (FR) after endovascular thrombectomy (EVT) is driven by neutrophil-mediated thromboinflammation, yet conventional neuroprotectants fail to address the spatiotemporal complexity of stroke injury. This study aimed to identify the clinical link between circSCMH1, traditionally viewed as a late-stage repair molecule, and FR, while evaluating its hyperacute anti-inflammatory potential via a neutrophil-targeted delivery system. MethodsWe analyzed thrombi and plasma from LVO-AIS patients stratified by functional outcomes. We engineered neutrophil-targeted lipid nanoparticles (circSCMH1@pepLNP) for delivery in a mouse transient middle cerebral artery occlusion model. Therapeutic outcomes were evaluated through infarct volume measurement, histological assessment of NETosis, and intravital two-photon microscopy to monitor real-time neutrophil dynamics and capillary stalling. ResultsClinical analyses showed circSCMH1 was significantly downregulated in FR patients, with its levels negatively correlated with NET burden. Furthermore, circSCMH1-negative neutrophils exhibited a higher propensity for NETosis within the thrombus microenvironment. In mice, circSCMH1@pepLNP achieved specific neutrophil delivery, significantly reduced infarct volume, and suppressed the expression of citrullinated histone H3 and neutrophil elastase. Intravital two-photon and laser speckle imaging further confirmed that this intervention attenuated neutrophil adhesion, increased migratory velocity, and alleviated capillary stalling, thereby restoring cortical microvascular perfusion. ConclusionsOur findings associate neutrophil-specific circSCMH1 downregulation with clinical FR in LVO-AIS. Targeted intracellular delivery reveals an acute anti-thromboinflammatory function that complements established reparative properties, proposing a novel adjunctive approach for EVT to address the spatiotemporal complexity of stroke and improve clinical outcomes.

neuroscience↗

bioRxiv2026

Spligation enables programmable chimeric RNA generation in living cells

The ability to precisely modify RNA offers opportunities to manipulate the flow of genetic information and influence transcript stability, localization and translation. RNA-targeting technologies enable RNA knockdown, base editing and trans-splicing, but more extensive transcript changes typically require genome editing or rely on the endogenous splicing machinery. Based on the ability of type III-A CRISPR-Csm complexes to catalyze programmable RNA cleavage in human cells, we investigated their potential to induce site-specific deletions while leaving the remainder of the transcript intact. Our data show that CRISPR-Csm complexes can generate short and long RNA excisions within a target transcript, and that the efficiency of this process is enhanced by fusion of Csm to the RNA ligase RtcB. Furthermore, cleavage of two different transcripts can trigger subsequent trans-ligation of the cleaved products into a chimeric transcript ("spligation"). Finally, we apply spligation to endogenous transcripts, using Csm to generate recombinant mRNA in cells independent of canonical splice sites. Collectively, this approach enables new forms of precise RNA manipulation in cells with potential applications in human disease.

bioengineering↗

bioRxiv2026

Magnesium as a Conformational Gatekeeper of KRAS: Structural Dynamics and Therapeutic Implications

Magnesium serves as an essential cofactor for small GTPases, yet its structural role in regulating KRAS conformational dynamics and nucleotide exchange remains poorly understood. Here, we combine hydrogen-deuterium exchange mass spectrometry (HDX-MS), native mass spectrometry, and functional assays to elucidate how Mg2+ stabilizes the KRAS conformational ensemble and constrains transitions between GDP- and GTP-bound states. Depletion of Mg2+ triggers widespread increases in structural dynamics throughout KRAS--spanning the p-loop, 1-helix, switch I, nucleotide-binding region, and distal helices--revealing a global loosening of the protein fold that favors an open, nucleotide exchange-competent state. Mg2+ titration experiments demonstrate that individual structural elements exhibit distinct Mg2+ dependencies: the p-loop and 1-helix recover native dynamics at micromolar concentrations, whereas switch I requires millimolar levels, underscoring its exceptionally high sensitivity to Mg2+ for structural stabilization. KRAS bound to the catalytic domain of exchange factor SOS1 displays an HDX signature closely resembling the Mg2+-free state, indicating that SOS1 promotes nucleotide exchange by transiently perturbing Mg2+ coordination while simultaneously stabilizing switch I. Consistently, phosphomimetic KRAS S17E variant, which disrupts a critical Mg2+-coordinating residue, exhibits pronounced global destabilization--reinforcing the central importance of Mg2+ in maintaining structural integrity. Taken together our findings show that Mg2+ acts as a master regulator of KRAS structural dynamics and reveal Mg2+-sensitive hotspots that might represent promising targets for next-generation KRAS therapeutics.

biochemistry↗

bioRxiv2026

Experimental Time Points Guided Transcriptomic Velocity Inference

Time-series single-cell RNA sequencing enables longitudinal tracking of biological processes, yet cellular trajectory reconstruction informed by experimental time remains challenging. Existing trajectory inference methods either perform de novo reconstruction without leveraging experimental time points, or prioritize transitions between time points while paying less attention to intra-time-point dynamics. To reconcile experimental time points with local precision, we present CellDyc, a semi-supervised learning framework that leverages experimental time-point supervision to reconstruct transcriptomic velocities and recover an intrinsic gene-embedded time. CellDyc consistently outperforms existing approaches in reconstructing cellular trajectories across development, disease, and reprogramming contexts. Biologically, CellDyc provides novel insights, such as resolving temporal heterogeneity in erythroid maturation and quantitatively demonstrating that the immunosuppressive environment delays monocyte differentiation in glioblastoma. CellDyc integrates seamlessly with downstream tools like CellRank and remains robust even when only inferred temporal information is available. Collectively, CellDyc offers a rigorous, data-driven solution for deciphering time-resolved cellular dynamics.

bioinformatics↗

bioRxiv2026

Cooperative and competitive interactions among transcription regulatory elements modulate transcription output

Transcription is modulated by interactions among transcription regulatory elements (TREs), including promoters and enhancers, but their underlying interaction specificities remain opaque. Here, we develop a Chromatin-Integrated, landing-pad-based Enhancer Reporter Assay, CIERA-seq, that interrogates regulatory interactions between target promoters and distal TREs in a controlled genomic and chromatin context. We find both promoter- and enhancer-TREs exhibit enhancer activities on target promoters with a specificity that depends on factors that TREs recruit. Promoters are generally enriched for factors involved in the core transcription process, whereas enhancers are enriched for pioneer factors and chromatin remodelers. Our CIERA-seq assays support a model where TREs activate target promoters constrained at different rate limiting steps in transcription by supplying complementary components of the transcription regulatory machinery. An orthogonal analysis using CRISPRi datasets shows that both promoters and enhancers can positively regulate expression of neighboring genes at their native loci. However, promoters are also more prone than enhancers to exhibit negative regulatory effects, a difference that may arise from competition for limiting transcriptional machinery. Together, these findings support a framework in which promoters and enhancers act as cooperative, or competitive, regulatory elements within local transcription hubs to modulate transcription outputs.

molecular biology↗

bioRxiv2026

SERPINA3 and NDRG1 are critical diagnostic immune genes associated with macrophages in preeclampsia

ObjectiveThe immune system plays a role in the occurrence and progression of numerous pregnancy complications, particularly preeclampsia (PE). This study aims to identify critical immune biomarkers via machine learning and assess their predictive ability. MethodsGene expression data were retrieved from the GEO database, while immune-related genes were obtained from the ImmPort repository. Differential expression analysis was then conducted to identify immune genes associated with PE. Different immune-related genes (DIRGs) were subjected to functional and pathway enrichment analysis. We adopted protein-protein interaction (PPI) networks for exploring the connections among various DIRGs and integrated two machine-learning to pinpoint candidate biomarkers in PE. Diagnostic performance was assessed via ROC curve analysis, with predictive accuracy further quantified using nomogram calibration. Findings were validated through integrated computational and experimental analyses. In silico validation utilized additional GEO datasets, while experimental confirmation involved qRT-PCR and IHC assessment of placental tissues. We developed a nomogram to predict PE utilizing two immune-related genes. Cellular composition was inferred from transcriptomic data using CIBERSORT deconvolution.. ResultsWe identified 66 differentially expressed genes (DEGs) and 10 DIRGs between PE pregnancies and normotensive pregnancies. The GO analyses revealed that the DIRGs were enriched in gonadotropin secretion, the regulation of gonadotropin secretion, and the regulation of endocrine processes. Functional annotation revealed enrichment in cytokine and neuroactive ligand-receptor pathways. SERPINA3 and NDRG1 emerged as top-performing biomarkers (training AUCs: 0.812 and 0.866; external validation: 0.795 and 0.781), with overexpression validated in clinical specimens. Both genes inversely regulated M2 macrophage abundance (P < 0.05). ConclusionPE is fundamentally an immune-mediated disorder. SERPINA3 and NDRG1 can be identified as key immune genes associated with M2 macrophages, and these findings provide novel perspectives for the diagnosis and pathogenesis of PE.

immunology↗

bioRxiv2026

Prime-InDel version 1: A web tool providing InDel markers for targeted regions narrowing

While high-density SNP genotyping enables genome-wide assays in rice (Oryza sativa L.) and other crops, PCR-based markers--particularly those derived from insertion-deletion (InDel) variations--remain crucial for fine-mapping. Currently, readily available primer information for high-density InDel rice markers is still limited. We present the first version of PrimeInDel (https://rfgb.rmbreeding.cn/search/variation/primeIndel), an online tool integrating three sets of InDel markers: an 8K-set and a 316K-set from the 3K Rice Genomes (3K-RG) project, and a 22K-set compiled from published literatures. In user cases, primers from PrimeInDel proved highly effective, narrowing a cold-tolerance QTL (qSR2) from 2.7 Mb to 200 kb and a heading-date QTL (qDeh1.1) from 239.5 kb to 83.6 kb. Our work provides the community with a robust, PCR-based InDel primer, accessible via an online data set, which will facilitate germplasm genotyping and gene identification in rice breeding.

plant biology↗

bioRxiv2026

Bacteroides intestinalis-Driven Arabinoxylan Fermentation Mitigates Inflammatory and Metabolic Dysfunction

Insufficient dietary fiber intake is closely linked to gut microbiome dysfunction and increased risk of noncommunicable diseases. Synergistic synbiotics, pairing defined microbes with their dietary substrates, offer a precise strategy to restore microbiome function. Here, we show that pairing the human colonic commensal Bacteroides intestinalis with insoluble wheat arabinoxylan (inWAX) yields pronounced metabolic and anti-inflammatory benefits. Using mono-associated gnotobiotic mice and high-fat diet-induced obese mice, we demonstrate that this synbiotic enhances resistance to intestinal inflammation and improves glucose homeostasis. Mechanistically, this synbiotic increases production of 6-hydroxylated bile acids with anti-diabetic and anti-steatotic effects. It also promotes microbial transformation of phenolic compounds and redirects protein metabolism toward neuroactive metabolites. These metabolic shifts are accompanied by transcriptional remodeling in the colon, spleen and liver, involving induction of genes essential for circadian rhythm, lipid metabolism, immune defense, and bile acid 6-hydroxylation. Notably, Y chromosome-linked genes associated with epigenetic regulation and protein turnover are also induced, suggesting a potential sex-specific response to synbiotics. Together, our findings establish a mechanistic framework for targeted synbiotic interventions to combat inflammatory and metabolic disorders.

microbiology↗

bioRxiv2026

Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain

Spatial and activity-dependent gene regulation in the mammalian brain requires coordinated control of RNA synthesis and degradation 1,2, yet spatially resolved measurement of RNA turnover kinetics in complex tissues remains technically challenging 3. Here, we present spatial NT-seq, an approach that integrates transgenesis-free metabolic RNA labeling with in situ chemical recoding to spatially co-map RNA abundance and turnover kinetics in the mouse brain. By distinguishing newly synthesized from pre-existing RNAs, this method reveals spatially resolved transcriptional and post-transcriptional responses to electroconvulsive stimulation (ECS), a treatment for refractory depression. We uncover pronounced spatial heterogeneity in RNA turnover, with the dentate gyrus (DG) exhibiting elevated basal RNA turnover and robust ECS-induced responses. These findings reveal a "kinetics scaling" mechanism of coordinated regulation of RNA synthesis and decay, by which DG cells can rapidly remodel their transcript pools in responses to external stimuli or differentiation signals 4,5. Machine learning applied to in vivo RNA kinetics landscapes further identifies sequence features and post-transcriptional regulators underlying region-and cell-type-specific control of mRNA stability. Together, this integrated experimental and computational framework, in vivo Timescope, enables transcriptome-wide mapping of RNA turnover kinetics and the regulatory architecture of RNA stability across spatial and cellular contexts, providing new insights into the spatiotemporal regulation of RNA dynamics in brain function and disease.

genomics↗

bioRxiv2026

Indole-3-acetic acid production is rare among gut bacteria and reflects OFOR-driven amino acid oxidation in acetogens

Indole-3-acetic acid (IAA) is a tryptophan-derived gut microbial metabolite with reported anti-inflammatory activities, but the organisms and anaerobic pathways that support robust production remain unclear. Screening 206 human gut bacterial isolates by LC-MS revealed that IAA production is rare: only five strains exceeded the limit of quantitation, and high-capacity production was confined to the acetogens Blautia hydrogenotrophica and Intestinibacter bartlettii. Across growth conditions, IAA was a minor product that rose alongside carbohydrate-sensitive, OFOR-linked catabolism of multiple amino acids, generating abundant branched-chain and aromatic organic acids. In gnotobiotic mice mono-colonized with I. bartlettii, these metabolites were produced in vivo but showed distinct host handling, with branched-chain fatty acids largely extracted between portal and peripheral plasma, whereas aromatic acids and their glycine conjugates appeared in plasma and urine. Genomic analyses and heterologous enzyme assays identified expanded repertoires of 2-oxoacid:ferredoxin oxidoreductases (OFORs) with activities spanning pyruvate/oxaloacetate, branched-chain, and aromatic 2-oxoacids, including indolepyruvate conversion to indoleacetyl-CoA, a putative intermediate en route to IAA. Finally, position-specific 13C tracing showed that CO2 released during amino acid oxidation is reassimilated into acetate via reductive acetogenesis, indicating that gut acetogens can maintain redox balance without fermenting partner strains. Together, these findings show that high IAA output is restricted to select gut acetogens and linked to a broader OFOR-driven anaerobic metabolism that generates additional metabolites that are absorbed by the host.

microbiology↗

bioRxiv2026

Activating Ras-MAPK pathway variants drive hippocampal clonal competition in human epilepsy

Mesial (a.k.a., medial) temporal lobe epilepsy (MTLE) is the most common focal epilepsy1,2 and, in drug-resistant cases, is treated by surgical removal of the anterior temporal lobe, which often shows neuronal loss and gliosis consistent with hippocampal sclerosis (HS)2. MTLE with HS has minimal contribution from germline genetic variation3, and is associated with prior precipitating insults such as prolonged childhood seizures and head trauma4-6. Somatic variants in Ras-MAPK pathway genes were recently reported in a few MTLE surgical specimens7,8, but their prevalence, clinical relevance, and underlying biological mechanisms remain unknown. Targeted duplex sequencing of hippocampal DNA from 462 surgical resections revealed significant enrichment of deleterious somatic variants in MTLE versus controls, with >40% of MTLE specimens harboring activating Ras-MAPK variants in PTPN11, NF1, BRAF, KRAS, and twelve genes not previously associated with focal epilepsy. Eight Ras-MAPK genes showed positive clonal selection in MTLE. Increased somatic variant burden predicted worse surgical outcome. Somatic Ras-MAPK variants at ultra-low (<0.5%) variant allele fractions were associated with older seizure onset and HS pathology, supporting a late prenatal or postnatal origin. Ras-MAPK variants in MTLE were enriched in cells derived from hippocampal progenitors--neurons, astrocytes, oligodendrocytes--in line with the known neuronal hyperexcitability and seizures induced by Ras-MAPK overactivation9,10; in contrast, Alzheimer disease hippocampi exhibited microglial enrichment of Ras-MAPK variants, consistent with prior reports11. Single-nucleus RNA sequencing showed increased expression of Ras-MAPK genes in neurons and upregulation of pathways mediating neurogenesis and neural development in MTLE. Functional validation of novel, recurrent PTPN11 variants confirmed gain-of-function, while cellular modeling in induced pluripotent stem cells demonstrated proliferative/survival advantages for mutant cells in mosaic culture. Overall, our data suggest that somatic Ras-MAPK variants and acquired risk factors may converge on clonal competition in the hippocampus to modulate epilepsy risk.

genetics↗

bioRxiv2026

Coxsackievirus B Escapes Antiviral CD8⁺ T Cells but Triggers Robust CD4⁺ Memory Responses

Coxsackieviruses B (CVBs) are plausible triggers of the pancreatic islet autoimmunity leading to type 1 diabetes. Islet autoantibody seroconversion correlates with persistent CVB infections in the gut and pancreas, suggesting defective antiviral control and the need to define immune mechanisms at the intestinal entry site. We investigated how CVB3 modulates antigen presentation, the viral immunopeptidome of enterocytes and antigen-presenting cells, and downstream T-cell immunity. CVB3-infected enterocytes escaped immune recognition by downregulating HLA Class I and viral peptide presentation, impairing CD8+ T-cell responses in vitro. In CVB-seropositive individuals, circulating CVB-reactive CD8+ T cells were stalled in naive-like and exhausted effector/memory states. In contrast, CVB3 induced HLA class II upregulation, promoting robust CD4 T-cell activation. Circulating CVB3-reactive CD4 T cells fully differentiated into polyfunctional T helper memory. These findings indicate that CVB3 antiviral control is predominantly CD4 T-cell-mediated and provide a rationale for mucosal vaccination strategies and immune monitoring tools to follow infection or vaccination. TeaserCoxsackievirus evades CD8+ T-cell immunity in the gut, leaving CD4+ T cells as the main line of antiviral defense.

immunology↗

bioRxiv2026

Hidden stop codons orchestrate mRNA fate by ambushing ribosomal frameshifting associated with codon usage

In eukaryotes, the mRNA stability is generally shaped by codon usage bias, the uneven preferences for synonymous codons, in a translation-dependent manner. However, the conserved mechanism linking codon to mRNA decay remains elusive. Hidden stop codons (HSCs), defined as stop codons located in the +1 or -1 frame relative to canonical ORF, are widespread across all genomes but largely uncharacterized. Here, we demonstrate that in both fungi and human cells, HSCs play an conserved and mechanistic role in promoting mRNA decay by rapidly terminating out-of-frame translation promoted by nonoptimal codons, primarily through +1 ribosomal frameshifting. In the filamentous fungus Neurospora crassa, partially deleting HSCs via synonymous substitutions in the clock gene frequency increases mRNA stability and disrupts circadian rhythmicity. In human cells, acute depletion of translation termination factor eRF1 impairs recognition of HSCs, leading to global stabilization of mRNAs enriched in nonoptimal codons and HSCs. In both Neurospora and humans, these mRNAs are in part degraded through the NMD pathway via UPF1. Collectively, these findings suggest that in eukaryotes, HSCs serve as surveillance elements to monitor ribosomal frameshifting and out-of-translation promoted by nonoptimal codons, thereby initiating mRNA decay through NMD.

molecular biology↗