Biology subjects

Aryal, S.

Publications and source records attributed to Aryal, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Maternal Folate Nutrition Programs Adult Hematopoietic Stem Cell Function Through Mitochondrial Remodeling

Folic acid fortification for the prevention of neural tube defects has been a cornerstone of public health policy for nearly three decades, but its broader consequences for other developing organ systems, particularly the hematopoietic system, are poorly studied. Hematopoietic stem cell (HSC) emergence overlaps developmentally with neural tube closure, and folate-dependent one-carbon metabolism is critical for nucleotide synthesis, cellular methylation, and redox balance, positioning folate as a candidate regulator of HSC programming. Using dietary models of maternal folate deficiency or supplementation in mice, we demonstrate that maternal folate acts as a dose-dependent developmental tuner of hematopoiesis, programming adult offspring HSC function through divergent mitochondrial and chromatin states. Maternal folate deficiency impaired adult HSC self-renewal, associated with mitochondrial defects, disrupted cristae, elevated proteotoxic stress and a stress-adapted chromatin landscape. In contrast, maternal folate supplementation enhanced HSC self-renewal accompanied by improved mitochondrial quality control and CDC42-associated organelle remodeling, and established chromatin states permissive for stem cell maintenance. Fetal HSC metabolomics identified shifts in one-carbon intermediates, pyruvate and lipid pools, suggesting that divergent fetal metabolic states provide substrate-level inputs that drive persistent and opposing chromatin programs in offspring HSCs. Our findings establish maternal folate availability as an unappreciated regulator of lifelong hematopoietic output demonstrating that a single maternal micronutrient, folate, is sufficient to program adult HSC function and regenerative capacity through persistent metabolic and mitochondrial programming.

cell biology↗

bioRxiv2026

Ambient light color does not detectably change the transient, flight-specific DEET response of Aedes aegypti

We asked whether ambient light color changes how Aedes aegypti respond to the repellent DEET. We reanalyzed an unpublished image dataset from the chamber system of Carver (2018): 12 recordings of about 20 mosquitoes each, under six light colors (blue, green, orange, red, white, yellow), with one recording per color in each of two sessions. Each recording had about 10 minutes with bait only and then about 10 minutes with bait plus DEET. We report two robust findings and one negative result. First, the DEET response is short-lived. Pooled across all 12 recordings, flight motion fell by about half in the minute of DEET onset and recovered within about three minutes (ratio of means 1.99, exact sign-flip one-sided p=0.058); over the full halves there was no net difference (ratio of means 1.01, p=0.49). Second, the drop is a loss of flight, not a loss of detection. A separate presence readout, which also counts resting mosquitoes, stayed almost flat (5.6 to 5.1 detections per frame) while flight fell from 0.51 to 0.35 events per frame pair. The chamber is closed, so presence by itself is not a finding; it shows that the animals remained detectable while flight collapsed, and the recovery of flight excludes mortality. Third, we could not show that color changes the response. A detectability control ruled out an imaging artifact. A baseline-activity control then showed that the apparent color ranking follows how much the mosquitoes flew before DEET (Spearman +0.83). Under a null with no color effect, 1.5 of 6 colors pass the cross-session concordance bar by chance. After adjusting for baseline activity and for selection among six colors, no color stood out (p=0.47). Ratio-of-halves suppression measures in chamber assays are confounded with baseline activity, and prospective studies should match activity across conditions or use time-matched within-recording contrasts.

animal behavior and cognition↗

bioRxiv2026

Predicting cyanobacterial oxic diazotrophy and prioritizing candidate protein families beyond known Nif proteins

Diazotrophic cyanobacteria must reconcile oxygenic photosynthesis with the oxygen sensitivity of nitrogenase. Engineering studies have demonstrated nitrogenase activity in a non-diazotrophic cyanobacterium while highlighting the importance of accessory functions and oxygen management. Robust aerobic nitrogen fixation remains challenging, motivating systematic identification of candidate support functions beyond the canonical Nif machinery. We modeled nifHDK-defined diazotrophic potential from protein-family presence or absence in 426 cyanobacterial assemblies. Four classifiers evaluated with genus-blocked cross-validation achieved mean ROC AUCs of 0.853 to 0.893, with purity and genus-breadth filters fitted within training folds. Restricting the panel to 401 assemblies with current NCBI status gave AUCs of 0.806 to 0.881. Family-content logistic regression outperformed a genome-size-only baseline across ten genus partitions. Two inventories describe candidates across the full panel: 981 high-purity families and 473 families with positive residual associations (accompanied by three ubiquitous controls). Model importance orders the residual-association inventory. A separate heuristic score combines inventory membership with proteomics, condensate-driver ranks and genus-based morphotype proxies to prioritize 167 families for experiments. Proteomics annotations tracked detection opportunity; the condensate contrast between inventories attenuated after prevalence adjustment. These annotations help choose experiments but do not independently validate accessory functions. Protein-family content predicts nifHDK-defined diazotrophic potential, with performance sensitive to assembly inclusion, taxonomy, genome size and taxonomic weighting. The two candidate inventories distinguish high carrier purity from residual association, providing complementary resources for prioritizing previously uncharacterized functions associated with cyanobacterial oxic diazotrophy.

bioinformatics↗

bioRxiv2026

Predictors Recover Most of the Metagenomic Signal for Antibiotic Resistance Gene Occurrence: A Cross-City Test of Geographic Transferability in Urban Wastewater

Antibiotic resistance genes (ARGs) travel from cities into rivers and coastal waters through wastewater treatment plants. Monitoring them normally requires metagenomic sequencing, which is sufficiently costly that most utilities can sample only occasionally. Weather and location data are freely available on a daily basis for virtually any location worldwide, making them attractive predictors for identifying where limited sequencing resources should be prioritized. However, whether such models generalize to previously unseen cities remains largely untested, as most published studies train and evaluate models within the same catchments, thereby assessing interpolation rather than geographic transferability. To address this gap, we paired 235 wastewater metagenomes collected from five European cities with 23 abiotic predictors spanning geospatial, meteorological, hydrological, radiative, and temporal domains. Model performance was evaluated using leave-one-group-out (LOGO) cross-validation, in which all samples from one city were withheld for testing while the remaining cities were used for training. CatBoost achieved a median LOGO ROC-AUC of 0.929 and a median F1-score of 0.750. Using freely available environmental reanalysis predictors (meteorological, hydrological, radiative, geospatial, and temporal) - without any metagenomic sequencing - CatBoost achieved a mean ROC-AUC of 0.722, recovering 78% of the predictive performance of the full omics-integrated model. Removing latitude and longitude reduced ROC-AUC by only 0.003, whereas replacing random cross-validation with city-wise validation reduced ROC-AUC by 0.052. Predictive performance varied across ARG classes, ranging from a ROC-AUC of 0.981 for {beta}-lactam resistance genes to 0.762 for glycopeptide resistance genes. These findings demonstrate that freely available environmental reanalysis predictors - spanning meteorological, hydrological, radiative, geospatial, and temporal domains - recover 78% of the predictive signal for antibiotic resistance gene occurrence in urban wastewater, allowing scarce sequencing capacity to be directed to the catchments where it changes a decision.

microbiology↗

bioRxiv2026

The Herbicide Glyphosate Promotes Hypertension via Gut Microbiota-Mediated Mechanisms

Glyphosate, the active ingredient in herbicide Roundup, is the most widely used environmental contaminant that has been extensively studied for its potential carcinogenic effects. In the US alone, a staggering 81% of the US population [≥]6 years of age is exposed to glyphosate. Notably, this coincides with the alarming rise in the incidence of hypertension, the single largest risk factor for global mortality through cardiovascular diseases. Here we asked if there is a link between glyphosate exposure and hypertension, the premise being that glyphosate targets the shikimate pathway present in gut microbiota coupled with more recent knowledge that gut microbiota causally regulate blood pressure. We hypothesized that glyphosate elevates hypertension through microbiota-mediated mechanisms and document a highly concerning detrimental effect of glyphosate by demonstrating a causal link between oral glyphosate exposure and significant elevation in blood pressure. Gut microbiota was identified as the central mediator of this effect. Mechanistically, glyphosate-mediated elevation in blood pressure was through disruption of both gut-liver and gut-vascular homeostasis via FXR-signaling and accumulation of the microbial metabolite shikimic acid, respectively. Together, these findings underscore the need to reconsider the unabated use of this herbicide, which adversely affects a cardinal sign of health.

physiology↗

bioRxiv2026

Statins and genetic inhibition of the mevalonate pathway activate an ATF3-STMN2 regenerative program

Loss of neuronal regenerative capacity is a common feature of neurodegenerative disease and axonal injury, yet the transcriptional programs governing this state remain poorly defined. Stathmin-2 (STMN2), a tubulin-binding protein essential for axon maintenance and repair, is profoundly depleted following loss of nuclear TDP-43 in neurodegenerative disease. Here, we identify statins as potent inducers of STMN2 expression. Pharmacological and genetic suppression of the mevalonate pathway, and subsequent prevention of protein geranylgeranylation, restored STMN2 levels in TDP-43 deficient cells and promoted neurite growth. STMN2 induction was abrogated when using a statin analogue unable to interact with HMG-CoA reductase, and through co-administration of mevalonate or geranylgeranyl diphosphate substrates. RNA-seq revealed that statins induce a coordinated pro-regenerative transcriptional response, including activation of the AP-1 transcription factor complex gene, ATF3. Loss of ATF3 attenuated STMN2 induction in vitro, and diminished injury-induced Stmn2 upregulation in spinal motor neurons in vivo. These results demonstrate statins as modulators of ATF3 and STMN2 expression and highlight their therapeutic potential in neurodegenerative disease.

neuroscience↗

bioRxiv2026

Accurate strand-specific long-read transcript isoform discovery and quantification at bulk, single-cell, and single-nucleus resolution

Recent advances in long-read transcriptome sequencing enable high-throughput profiling of full-length RNA isoforms in bulk, single-cell, and single-nucleus samples. However, long-read datasets typically contain a mixture of complete and partial transcripts, leading to pervasive ambiguity in read-to-isoform assignment and complicating accurate isoform identification and quantification, particularly in the absence of reliable reference annotations. These challenges are further amplified in single-cell and single-nucleus samples, where coverage is sparse and transcriptional heterogeneity is high. Here, we present the Long Read Alignment Assembler (LRAA), a unified and versatile computational framework for isoform identification and quantification from long-read RNA sequencing data across bulk, single-cell, and single-nucleus transcriptomic samples. LRAA combines splice-graph based structural modeling with expectation maximization based optimization to probabilistically resolve ambiguous read assignments and improve isoform abundance estimation. The framework supports quantification-only, reference-guided, and fully reference-free (de novo) modes of analysis within a single methodological paradigm. We benchmarked LRAA using both simulated and genuine long-read datasets spanning sequencing standards and whole transcriptomes. Central to this evaluation is a novel benchmarking strategy based on Multiplexed Overexpression of Regulatory Factors (MORFs), which provides biologically expressed, barcoded isoforms with unambiguous read-level ground truth. Across all benchmarks, including MORFs, synthetic spike-ins, and whole-transcriptome datasets, LRAA consistently outperformed state-of-the-art methods in isoform identification accuracy, sensitivity, and expression quantification. Finally, we demonstrate the biological utility of LRAA by resolving cell-type-specific isoform usage across peripheral blood immune cell populations and by detecting a pathogenic cryptic isoform of STMN2 with associated transcriptional changes in single-nucleus RNA-seq data from frontal cortex tissue of an individual with frontotemporal dementia (FTD). Together, these results establish LRAA as a robust and general solution for resolving transcript diversity in complex biological systems, from development to disease.

bioinformatics↗

bioRxiv2025

Spatially resolved translational dysregulation in Grin2a+/- mouse model of schizophrenia

Loss-of-function (LoF) mutations of GRIN2A, encoding the GluN2A subunit of N-methyl-D-aspartate receptor (NMDAR), confer a high risk for schizophrenia (SCZ)1-3, yet how they affect diverse brain cell types remains poorly understood. Here, we combined subcellular-resolution spatial omics technologies, STARmap4 and RIBOmap5, to jointly resolve single-cell transcriptomes and translatomes for 3,447 genes in the brains of Grin2a+/- mice and their wild-type littermates across 538,188 cells. Translational dysregulation was markedly more prominent than transcriptional changes in neurons. Across neuronal subtypes, a set of genes including Camk2a, Arc, Egr1, Egr3, Chmp2b, and Pja2 exhibited translational reduction in a Grin2a gene dose-dependent fashion, suggesting a connection between NMDAR hypofunction and reduced protein synthesis of downstream synaptic plasticity effectors. In interneurons (particularly parvalbumin interneurons), a strong reduction of Gad2 translation implies loss of inhibitory function in cortical microcircuits, which has long been hypothesized for SCZ pathophysiology. Non-neuronal cell types including astrocytes, oligodendrocytes, and vascular cells also exhibited region-specific translational changes in neurotransmitter transport, lipid synthesis, myelination, and stress response pathways, some of which co-varied with regional neuron state. Together, our study reveals brain-wide translation dysregulation as a critical mechanism underlying SCZ pathophysiology.

neuroscience↗

bioRxiv2025

GPR34 regulation of disease-associated microglial states and responses to physiological stimuli

Expression of the G protein coupled receptor GPR34 is highly enriched in microglia and has been reported to be downregulated in several brain disease contexts, including Alzheimers disease (AD) and multiple sclerosis (MS). GPR34 function is poorly understood, as is its role in regulation of microglial states. Using RNA-sequencing, we find that microglia from Gpr34 knockout (KO) mouse brains exhibited a transcriptomic shift toward disease-associated microglia (DAM) and inflammatory profiles, partially resembling the microglial phenotype seen in 5xFAD AD model mice. Moreover, when Gpr34 KO mice were crossed with 5xFAD mice, the DAM transcriptional profile of microglia and glial pathology were further enhanced beyond the already robust DAM signature driven by 5xFAD alone. This occurred without affecting amyloid plaque burden. Human stem cell-derived microglia (iMGLs) lacking GPR34 showed reduced calcium (Ca{superscript 2}) and phosphorylated ERK (pERK) signaling in response to stimulation with known GPR34 agonists (lyso-phosphatidylserine (lysoPS) and myelin), as well as transcriptomic changes in immune regulation and cell proliferation related pathways. Interestingly, GPR34 KO iMGLs were selectively impaired in phagocytosis of myelin but not amyloid-{beta} (A{beta}) or E. coli, and showed a diminished transcriptional response elicited by myelin. Together, these findings suggest that GPR34 is important for maintaining microglia in a homeostatic state, promotes phagocytosis of and transcriptional response to myelin, and limits microglial activation in neurodegenerative disease conditions.

neuroscience↗

bioRxiv2025

Atomistic TCR-ligand interactions instruct memory T-cell differentiation

Memory CD8 T cells provide durable protection against recurrent infection and cancer, but how distinct memory fates are specified remains unclear. Here, we define the functional landscape of 242 murine CD8 TCR{beta} clonotypes specific for influenza NP366-374/H-2D ligand (pMHC) by integrating single-cell transcriptomics and TCR sequencing with force-dependent biophysics, structural analysis, and in vivo investigation of memory development. Fate essentially tracks with TCR mechanotransduction: TCM-associated clonotypes preferentially engage pMHC through TCR{beta}, whereas TEM-associated clonotypes preferentially engage through TCR. Clonotypes with balanced, bipolar signaling generate both memory subsets, optimize expansion, and display broad heterosubtypic crossreactivity but with exhaustion susceptibility. In contrast, diverse TCM clonotypes are largely clonal singlets with considerable mutant-epitope recognition in aggregate and stemness preservation, revealing complementary strategies for immunodefense coverage. Atomistically, subtle pMHC contact differences and load transmission through the TCR holoreceptor appear to tune phosphorylation, memory differentiation, and functional durability, features applicable to adoptive T-cell immunotherapies.

immunology↗

bioRxiv2025

The genome assembly and detection of biosynthetic gene clusters among four novel microbial isolates from deep subsurface rock biofilms

Tunnels in deep underground mines provide a unique interface between the surface and deep subsurface habitats. There, microbes from the surface may enter the deep tunnels as surface air is drawn into the deep mine tunnels to provide ventilation. This extreme hosting environment provides a condition for microbes to develop novel capabilities, such as the production of natural products of biotechnology or medicinal importance. This study characterized the genomes of four novel isolates from deep subsurface biofilms of the previously abandoned gold mine, which was used as a model for the underground study. Here the microbiome samples were obtained from thin, whitish, glistening biofilm samples naturally formed on the rock walls (1478 meters deep at SURF). These samples are herein referred to as "cave silver" biofilms. The samples provide 10 GB of high-quality whole genome sequences that were assembled into contigs/scaffolds and structurally and functionally annotated against various databases. Subsequently, the genomes were analyzed for biosynthetic gene clusters (BGCs) encoding secondary metabolites of biotechnology and medical importance using the antiSMASH and the NaPDoS web servers, respectively. In brief, the assemblies produced four drafted genomes of different lengths and annotated features for each strains genome, including gene clusters involved in the quorum sensing (QS) pathway. Several BGC-encoded secondary metabolites of natural products or compounds such as polyketides (PKS, PKS III, ketosynthase domain-KS), non-ribosomal peptides (condensation domain, NRPS), and terpenoids (terpenes I, polyenes type II), were identified. Furthermore, many overexpressed enzymes, most of which are shared among the strains and some unique to individual bacteria strains, were identified, revealing possible shared and individualized strain activities in the biofilms during the sample collection. CRISPR peptides were also detected in three of the four bacteria strains. In this study, we examine the genomes of microbes colonizing extreme subsurface environments and how these conditions promote the development of microbial systems that are potentially capable of producing medicinally natural products and secondary metabolites that may be used to enhance advancements in biotechnology products. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/675994v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@17a82f0org.highwire.dtl.DTLVardef@2a73f0org.highwire.dtl.DTLVardef@121c3e9org.highwire.dtl.DTLVardef@1c51f9b_HPS_FORMAT_FIGEXP M_FIG C_FIG ImportanceDeep subsurface environments host unique microbial communities with specialized adaptations. By characterizing genomes from "cave silver" biofilms, this study reveals biosynthetic gene clusters and pathways for secondary metabolite production, including polyketides, peptides, and terpenoids. These findings highlight the potential of extreme-environment microbes as a novel source of biotechnologically and medically valuable natural products.

genomics↗

bioRxiv2025

Forecasting Urban Wastewater Microbiome Dynamics Using a Digital Twin Framework

Urban wastewater microbiomes are complex and temporally dynamic, offering valuable insight into community-scale microbial ecology and potential public health trends. However, existing wastewater-based studies often remain descriptive, lacking tools for predictive modeling. In this study, we introduce a digital twin framework that forecasts microbial abundance trajectories in urban wastewater using an interpretable generative model, Q-net. Trained on a 30-week longitudinal metagenomic dataset from seven wastewater treatment plants, the model captures temporal microbial dynamics with high fidelity (R2 > 0.97 for key taxa; R2 = 0.998 at the final timepoint). Beyond accurate forecasting, Q-net provides transparent model structure through conditional inference trees and enables simulation of realistic microbial trends under hypothetical scenarios. This work demonstrates the potential of digital twins to move wastewater microbiome studies from static snapshots to dynamic, predictive systems, with broad implications for environmental monitoring and microbial ecosystem modeling.

bioinformatics↗

bioRxiv2025

Meta-analysis of the brain transcriptomes of multiple genetic mouse models of schizophrenia highlights dysregulation in striatum and thalamus

Schizophrenia is a severe mental illness with high heritability, but its underlying mechanisms are poorly understood. We meta-analyzed large-scale brain transcriptomic data from mice harboring individual loss-of-function mutations in seven schizophrenia risk genes (Akap11, Dagla, Gria3, Grin2a, Sp4, Srrm2, Zmym2). While all studied brain regions were affected, the striatum and the thalamus emerged as key brain regions of convergence. Striatum showed downregulation of synapse-and oxidative phosphorylation-related gene sets in all models. In the thalamus, mutants separated into two groups based on transcriptomic phenotype: synapse-related gene sets were upregulated in mutants with only schizophrenia and bipolar association, and were downregulated in mutants that are associated with developmental delay/intellectual disability in addition to schizophrenia. Overall, our meta-analysis reveals convergence and divergence in brain transcriptomic phenotype in these schizophrenia genetic models, supports the involvement of striatal disturbance and synapse dysfunction in schizophrenia, and points to a key role of the thalamus.

neuroscience↗

bioRxiv2025

Epigenetic changes, neuronal dysregulation and metabolomic abnormalities in Zmym2 mutant mice, a genetic model of schizophrenia and neurodevelopmental disorders

Loss-of-function mutations in ZMYM2 are associated with an increased risk of schizophrenia (SCZ) and neurodevelopmental disorders (NDD). ZMYM2 interacts with proteins involved in histone modification and gene regulation, including LSD1 and ADNP; however, its specific roles in the brain remain poorly understood. In this multi-omics study, we demonstrate that heterozygous knockout of Zmym2 in mice results in widespread disturbances in gene expression affecting diverse molecular pathways, including those related to histone modifications and neuronal activity. Proteomic analysis of synapses reveals dysregulation of lipid metabolism and neurofilament-associated pathways, while metabolomic profiling identifies alterations in sphingomyelin and ceramide levels. Furthermore, Zmym2 mutant mice exhibit abnormal brain oscillation patterns on EEG and locomotor hyperactivity in the open field test. Collectively, these findings underscore the critical role of ZMYM2 in brain development and function and highlight Zmym2 mutant mice as a genetic animal model for SCZ and NDD.

neuroscience↗

bioRxiv2024

The ketone body β-Hydroxybutyrate mediated epigenetic chromatin β-hydroxybutyrylation protects kidneys

Starvation, intermittent fasting and exercise, all of which are recommended lifestyle modifiers share a common metabolic signature, ketogenesis to generate the ketone bodies, predominantly {beta}-hydroxybutyrate. {beta}-hydroxybutyrate exerts beneficial effects across various contexts, preventing or mitigating disease. We hypothesized that these dynamic health benefits of {beta}-hydroxybutyrate might stem from its ability to regulate genome architecture through chromatin remodeling via histone {beta}-hydroxybutyrylation, thereby influencing the transcriptome. Focusing on the kidney, which is an end organ protected by {beta}-hydroxybutyrate, we examined histone {beta}-hydroxybutyrylation-mediated chromatin remodeling. Notably, regions of the genome associated with lipid catabolism were predominantly in an open chromatin configuration, leading to active transcription and translation. Significant {beta}-hydroxybutyrylation was observed in the kidneys and the most highly upregulated gene actively transcribed and translated was 3-hydroxy-3-methyglutaryl CoA Synthase 2 (Hmgcs2), a gene responsible for the biosynthesis of {beta}-hydroxybutyrate in mitochondria. In contrast, regions with more compact chromatin structures were enriched with genes related to immune function such as protein tyrosine phosphatase receptor type C (Ptprc) and lymphocyte cytosolic protein 1 (Lcp1), which exhibited reduced transcription and translation. These results reveal that renal epigenetic histone {beta}-hydroxybutyrylation is a novel mechanism by which transcriptional regulation of both energy metabolism and immune function occur concomitantly to protect kidneys and lower hypertension. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/628574v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@f16cdorg.highwire.dtl.DTLVardef@a22427org.highwire.dtl.DTLVardef@f3a6d3org.highwire.dtl.DTLVardef@4d705d_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG

physiology↗

bioRxiv2024

Brain-region-specific changes and dysregulation of activity regulated genes in Gria3 mutant mice, a genetic animal model of schizophrenia

Protein-truncating variants in GRIA3 (encoding the GluA3/GluR3 subunit of -amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-type glutamate receptors) are associated with substantially increased risk of schizophrenia (SCZ). Here we characterized Gria3 mutant mice carrying a protein-truncating mutation that mimics a SCZ-associated variant. Transcriptomic analysis revealed that activity-regulated genes are downregulated in cortical regions, while immune and glia-related pathways exhibit brain-region-specific changes. The transcriptomic changes in Gria3 mutant mice are remarkably different from those in Grin2a mutant mice, particularly in the prefrontal cortex, even though both encode glutamate receptors and are associated with SCZ risk. Proteomic analysis further demonstrated that loss-of-function of Gria3 profoundly alters the protein composition of synapses. These findings in a genetic mouse model provide potential insights into the pathophysiological mechanisms underlying SCZ.

neuroscience↗

bioRxiv2024

Synaptic composition, activity, mRNA translation and dynamics in combined single-synapse profiling using multimodal imaging

Complex neuronal circuit functions emerge from local, actively regulated synaptic protein levels that interplay with synaptic neurotransmission across heterogenous synapse populations. Understanding the mechanisms by which chemical and disease-associated genetic perturbations impact neuronal circuit functions requires simultaneous measurement of these factors with single-synapse resolution at population scale. Here, we combine in situ multimodal imaging of local mRNA translation, synaptic multiprotein composition, and synapse activity measured via calcium or glutamate fluxes, within the same spatially resolved synapses. We apply this approach of multimodal synapse profiling to study ketamine plasticity. Results map a causal network of NR2A-depletion-induced changes to synaptic scaffolding and receptor proteins, driven by synaptic activity and local mRNA translation, which translates to Grin2a models of schizophrenia in vitro and in vivo. Thus, multimodal synaptomics can reveal mechanistic neurobiology that underlies chemical and genetic perturbations within the context of scalable neuronal cultures, which can serve as models for human disease and therapeutic development.

neuroscience↗

bioRxiv2024

Reduction of SynGAP-γ, disrupted splicing of Agap3, and oligodendrocyte deficits in Srrm2 mice, a genetic model of schizophrenia and neurodevelopmental disorder

Rare loss-of-function variants in SRRM2, which encodes a nuclear speckle scaffold and splicing factor, are associated with schizophrenia and neurodevelopmental disorders. How SRRM2 haploinsufficiency disrupts brain function is unknown. We find that Srrm2+/- mice exhibit (i) large-scale changes in gene expression in neuronal and glial cells, affecting DNA-binding-, synapse-, translation-, mitochondria-related pathways across multiple brain regions; (ii) alterations in splicing and/or abundance of multiple postsynaptic proteins, including reduction of the gamma isoform of SynGAP and elevation of its interactor, Agap3; and (iii) reduced oligodendrocyte proportions, particularly in striatum, accompanied by decreased expression of myelin-related mRNAs and proteins. Human iPSC-derived neurons deficient in SRRM2 display conserved AGAP3 splicing defects. Behaviorally, Srrm2+/- mice have reduced locomotor activity and impaired startle responses, and EEG recordings reveal reduced sleep spindles resembling humans with schizophrenia. Our findings identify specific synaptic changes, splicing dysregulation, and impaired myelination as mechanisms linking SRRM2 haploinsufficiency to neuropsychiatric disease.

neuroscience↗