Biology subjects

Ma, M.

Publications and source records attributed to Ma, M..

At least 19 recordsLinked to original sources

bioRxiv2026

NeuroPilot: Longitudinal intravital neural imaging across scales and modalities through an agentic platform

Longitudinal intravital imaging is essential for understanding how neural populations evolve across behavioral states, yet converting large-scale recordings into biological insight remains a fundamental challenge because neural signals are degraded by noise, non-rigid motion, and heterogeneous recording conditions. Here we introduce NeuroPilot, an agentic framework that transforms neural imaging analysis into a closed-loop, context-aware process, integrating a multimodal large language model with callable computational imaging modules to adaptively coordinate workflows from raw recordings to population-level readouts. Across heterogeneous imaging and experimental regimes, NeuroPilot restores motion-degraded recordings and supports consistent neural signal recovery, detection, and tracking in challenging deep-brain, freely moving, and longitudinal settings. These enable neuronal population tracking across spinal stimulation paradigms, deep-brain imaging, and continuous 24-hour mPFC recordings aligned with spontaneous sleep-wake behavior. By converting heterogeneous intravital recordings into stable population activity maps, NeuroPilot supports behavioral decoding and reveals structured neural dynamics across behavioral states and transitions. NeuroPilot establishes a scalable agentic paradigm for neural imaging analysis, expanding experimental access to the measurement, visualization, and interpretation of neural population activity.

neuroscience↗

bioRxiv2026

CHAIR an antigen-resolved antibody-reactome resource for healthy adult immune aging

Antigen-recognition histories accumulate across adult life, but existing human aging resources largely emphasize host-state measurements rather than antigen-resolved humoral memory. We present CHAIR, the Chinese Healthy Aging Immune Resource, which integrates self-antigen, human virome and toxin/virulence-factor PhIP-seq with routine clinical measurements and T/B/NK phenotyping in clinically screened adults aged 20-94 years. The resource framework includes 1,008 unique PhIP-seq samples, 995 clinical records, 977 T/B/NK records and 853 participants with all three layers. Across modeled spaces comprising 23,584 self-antigen targets, 210 virome targets and 1,258 virulence-factor source targets, most measured antibody-reactivity architecture was consistent with broad preservation within domains, whereas age- and sex-associated signals were concentrated in focal targets and modules. Together, CHAIR provides a traceable, antigen-resolved reference framework based on clinically screened adults for investigating focal humoral remodeling across healthy adult aging.

immunology↗

bioRxiv2026

A Medicinal Chemistry-Centered Evaluation of AlphaFold 3 and Boltz-2 Across Diverse Binding Modalities

AlphaFold 3 (AF3) and Boltz-2 are state-of-the-art AI-based tools for biomolecular structure prediction, but whether their predictions provide useful guidance for lead optimization, SAR interpretation, and virtual screening remains insufficiently characterized. We benchmarked their performance using newly determined soluble epoxide hydrolase co-crystal structures and matched activity data together with a curated post-training-cutoff dataset spanning kinases, allosteric modulators, covalent systems, PROTACs, molecular glues, fragments, membrane proteins, RNA binders, and activity-cliff pairs. Both models recovered canonical orthosteric enzyme and kinase complexes, including key DFG/C conformational states, whereas allosteric, membrane-protein, and induced-proximity complexes remained challenging. Pharmacophore RMSD was often lower than overall ligand RMSD, indicating preservation of key recognition features despite imperfect whole-ligand alignment. AF3 minPAE correlated with pose accuracy, and very low minPAE values (<0.85 A) were strongly enriched for accurate poses. Model confidence scores were not associated with experimental activity, whereas Boltz-2 predicted affinity captured relative activity trends and distinguished the activity-cliff pair, although its performance varied across ligand series.

biochemistry↗

bioRxiv2026

Nutrient enrichment and herbivore exclusion disrupt the climate-driven balance between C3 and C4 plants in grasslands

The distribution of plants with different photosynthetic pathways is strongly structured by climate, with C3 plants favoured in cooler temperate regions and C4 plants in hotter, high-light conditions. The relative abundance of C3 and C4 plants across the world has cascading impacts on local food webs, decomposition, productivity and other vital ecosystem processes. Human impacts, including climate change, changes to herbivore assemblages, and increased nutrient availability, are shifting the optimal conditions for important C3 and C4-dominated ecosystems and crops. Using 3,184 plot-level observations from 112 sites across six continents, we reveal how chronic nutrient enrichment disrupts the climate-driven balance between C3 and C4 plants in grasslands. We found that, consistent with expectations, the global distribution of C4 plants was strongly related to climate. However, experimental nutrient addition reduced the relative cover of C4 species, with the strongest declines found when nitrogen and phosphorus were added together. Herbivore exclusion had no consistent effect on C4 plants. Our results provide global experimental evidence that elevated nutrients, particularly nitrogen, alter competitive outcomes among plant functional types to suppress C4 grasses, even in climatically optimal conditions. This has major implications for predicting vegetation responses to global change, with consequences for carbon cycling, primary productivity, herbivore dynamics, and food security.

ecology↗

bioRxiv2026

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design

DNA encodes biological function across a continuum of sequence scales, from single-nucleotide and motif-level grammar to regulatory neighborhoods, chromatin-scale organization and evolutionary constraint. A useful model of genomes should therefore do more than classify short sequence windows: it should maintain nucleotide-resolution state over long contexts, score counterfactual mutations, condition on homologous sequence evidence and generate candidates that can be evaluated against structural or functional objectives. We define such a system operationally as a genomic world model: a general-purpose generative model of genome sequence space that unifies sequence understanding and sequence design through a shared state and likelihood interface. Here we introduce CENO, a family of long-context generative genomic world models designed to preserve local DNA grammar while extending usable context to regulatory and chromatin scales. CENO combines Mamba sequence-mixing layers, sparse attention layers and mixture-of-experts capacity in a single autoregressive backbone, and is trained at 300M, 600M and 1B parameter scales with a staged curriculum that progresses from 8k-token cross-domain genomic pretraining to 131k- and 1M-token whole-genome long-context continuation. We evaluate CENO under a unified world-model benchmark paradigm spanning retrieval, representation, counterfactual perturbation, reconstruction, evolutionary conditioning and design. CENO retains practical long-context inference and retrieves distal sequence in synthetic assays. In zero-shot long-context analyses, without task-specific fine-tuning, long-context continuation yields annotation- and chromatin-boundary-associated attention patterns and frozen-state representations that generalize across human cell types and mouse cell or tissue settings. To incorporate evolutionary information, we further post-train CENO on packed real multiple-sequence-alignment contexts and score variants by reference-mutant likelihood deltas, improving matched variant-effect prediction and producing evolutionary enrichment signals across species. Complementing these perturbation-based variant tests, we evaluate zero-shot long-sequence generation by partial-gene continuation, asking whether the model can recover withheld gene-scale sequence structure across eukaryotic, bacterial and archaeal species; recovery improves with model scale and later whole-genome long-context training. Finally, we use CENO as the backbone for a cell-type-specific enhancer design workflow in mouse cortex, coupling a CENO-based accessibility oracle with conditional supervised fine-tuning and oracle-guided reinforcement learning. Together, CENO provides a genome-scale sequence world-model framework for sequence interpretation, evolutionary reasoning, gene-scale reconstruction and programmable regulatory sequence generation.

genomics↗

bioRxiv2026

A hierarchical activation threshold shapes RSV F antibody repertoires from toddler vulnerability to adult protection

Respiratory syncytial virus (RSV) causes severe infant morbidity, yet the mechanisms underlying their suboptimal immunity and the failure of prefusion F-stabilized adult vaccines in infants remain unclear. Here we integrate deep mutational scanning of 761 preF-binding antibodies, repertoire profiling of 102 repeatedly exposed pediatricians and 61 RSV-experienced toddlers, structural analysis, and >40,000 viral genomes to decode RSV F immunity. We resolved 12 immunologically distinct functional antibody subclasses and uncovered a hierarchical activation threshold: apical epitope-targeting antibodies with superior neutralizing potency demand extensive somatic hypermutation and cooperative CDR networks, whereas central-to-basal epitope-directed, marginal or non-neutralizing antibodies engage germline-encoded antibodies through minimal mutations (e.g., S31G). Toddler repertoires are confined to low-threshold, non-productive sites; adult repertoires enrich for apical elite neutralizers whose immune pressure drives contemporary RSV-B evolution. These reframe pediatric RSV vulnerability as a threshold-gated repertoire deficit and prescribe vaccine strategies that actively redirect immunodominance from permissive epitopes toward high-barrier apical targets.

immunology↗

bioRxiv2026

Under pressure: Evolutionary trade-offs shape the single visual opsin of deep-sea octopods

Octopods possess remarkable camera-type eyes and specialised image-forming vision that support orientation, prey detection, predator avoidance and visual communication. Unlike vertebrates and arthropods, however, octopod vision is thought to rely mainly on a single rhodopsin (r-opsin1), raising the question of how such a constrained system adapts across contrasting light environments from shallow coastal waters to deep-sea habitats. Using transcriptional profiling of the retina and optic lobe from seven native octopod species of the Gulf of Naples, we show that r-opsin1 is the predominant visual gene across all species and investigate how contrasting photic habitats have shaped its molecular and functional evolution. Although positive selection analyses revealed no general association between habitat depth and r-opsin1 evolution, twelve codons in the deep-mesopelagic Pteroctopus tetracirrhus r-opsin1 showed evidence of positive selection, including two residues located on opposing helices of the retinal-binding pocket. In vitro experiments demonstrated that substituting either I87V and F201N produced a marked bathochromatic shift from the wild-type blue-green spectrum towards red wavelengths, whereas their combination restored the wild-type spectral profile. Other deep-sea octopod r-opsin1 naturally bearing one of these substitutions retained blue-green sensitivity. Reconstructed ancestral proteins similarly maintained blue-green absorption, supporting conservation of this spectral phenotype throughout octopod r-opsin1 evolution. We further show that F201N reduces adiabatic compressibility within the retinal-binding pocket, by co-evolving compensatory sites offering a structural trade-off, favouring pressure adaptation while restraining spectral tuning. Together, our findings support that octopod visual rhodopsin evolution has been shaped by the multiple ecological pressures of contrasting marine environments, illustrated with lineage-specific and habitat-dependent trajectories on a single locus while preserving a conserved visual phenotype.

evolutionary biology↗

bioRxiv2026

Reconstructing sequence-grammar trajectories enables interpretable and tunable cis- regulatory element design

Designing synthetic cis-regulatory elements (CREs) with cell-type-specific activity remains challenging, and optimization is usually treated as a black box, obscuring how regulatory grammar emerges and why design trajectories fail. Here, we present GO-CRE (Guided Optimization of Cis-Regulatory Elements), which combines efficient sequence generation, predictor-guided reinforcement learning, and trajectory-level interpretation. GO-CRE reconstructs iterative sequence changes in a shared sequence-grammar landscape and identifies coordinated update programs corresponding to search, commitment, and optimization. Productive trajectories in HepG2 and K562 progressively acquired cell-type-associated grammar, whereas SK-N-SH trajectories remained confined to local basins. In HepG2, trajectory analysis revealed a low-complexity polyG trap; introducing a polyG penalty redirected optimization toward HNF/FOXA-associated features. Final designs retained sequence diversity while converging on cell-type-associated motif patterns. Lentiviral MPRA validated cell-type-specific activity in K562 and HepG2 and showed higher average activity of HepG2 designs than endogenous CREs. Together, these findings establish sequence-grammar trajectory reconstruction as a basis for interpretable and tunable synthetic CRE design.

genomics↗

bioRxiv2026

Combinatorial screening of biological degrader modules identifies heterobifunctional molecules that efficiently destroy MYC, leading to rapid tumour cell death in vitro and in vivo

Targeted protein degradation is a potent strategy against intracellular proteins impervious to traditional drugs. We describe a platform reliant on high-throughput cloning and mRNA-based delivery to quickly screen 100s-1000s of modular biological degraders, which we challenge against the high-turnover c-Myc oncoprotein. We uncover critical principles to drive degrader discovery against any target, free from tagging or prior cell line engineering, with direct applications in research and potentially therapy. We demonstrate the feasibility of targeted protein degradation of c-Myc across in vitro cancer models and in vivo xenograft model, uncovering distinct cellular responses between c-Myc degradation and inhibition.

bioengineering↗

bioRxiv2026

TRPML1 positions lysosomes and regulates actin-membrane linkers in astrocyte processes

Lysosomes are critical for neuronal physiology and synaptic function, but their organization and roles within astrocytes, an integral component of the tripartite synapse, remain unknown. Here, we use a neuron-astrocyte coculture system that promotes stellate astrocyte morphology to investigate the trafficking of late endosomes and lysosomes (LELs) in astrocytes. As astrocyte branches mature, degradative activity becomes concentrated in the soma and LELs in branches undergo bidirectional motility that becomes progressively attenuated. We establish that the lysosomal cation channel TRPML1 drives LEL immobilization. TRPML1-mediated arrest involves myosin-Va tethering to the actin cytoskeleton, which may position LELs near peripheral astrocyte processes (PAPs), fine actin-enriched protrusions that can contact synapses. Strikingly, TRPML1 activity modulates the phosphorylation of ezrin, radixin, and moesin, actin-membrane linkers enriched in PAPs. These effects are rapid and transient, suggesting a role for lysosomal TRPML1 in regulating PAP membrane dynamics. Thus, TRPML1 positions LELs proximal to PAPs which may influence PAP structural plasticity and astrocyte-synapse contacts.

neuroscience↗

bioRxiv2026

Lyophilization Maintains the Storage Stability and Bioactivity of Mesenchymal Stem Cell–Derived Extracellular Vesicles

BackgroundExtracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) are emerging therapeutic candidates for bone regeneration, but their long-term stability remains a barrier to clinical translation. This study evaluated whether lyophilization supports the stable storage of extracellular vesicles derived from human epidural fat MSCs (hEF-MSCs) cell line. Research Design and MethodsEVs were isolated, lyophilized with 8.5 % sucrose and HEPES(4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic acid, N-(2-Hydroxyethyl)piperazine-N'-(2-ethanesulfonic acid)), and stored for 3 months at -80, -20, 4, and room temperature (20). After reconstitution in phosphate-buffered saline (PBS), structural characteristics were assessed using transmission electron microscopy, nanoparticle tracking analysis, and flow cytometry. Functional activity was evaluated using MC3T3-E1 osteogenic differentiation assays. The main outcome measures included morphology, particle counts, marker expression, cytotoxicity, and sequencing profiles. ResultsLyophilization maintained EV morphology, structural integrity, and particle distribution across all storage temperatures. Marker expression remained comparable among the conditions. Reconstituted EVs promoted osteogenic differentiation of MC3T3-E1 cells without evidence of cytotoxicity. Sequencing profiles revealed no significant differences among storage conditions. ConclusionsLyophilized EVs from hEF-MSCs cell lines exhibited stable structural and functional properties across a range of storage temperatures, supporting their suitability for further development in bone regeneration applications.

Molecular Biology↗

bioRxiv2026

Lyophilized Extracellular Vesicles Retain Regenerative Activity and Accelerate Wound Healing

Extracellular vesicles (EVs) are promising therapeutic agents for tissue regeneration because they regulate intercellular communication and modulate inflammatory responses. However, preserving EV bioactivity during long-term storage remains a major barrier to clinical application. We examined whether lyophilized EVs stored at -80 {degrees}C maintain their structural integrity and therapeutic efficacy in an in vivo wound-healing model. Mesenchymal stem cell-derived EVs were isolated and freeze-dried before storage at -80 {degrees}C. We evaluated EV physicochemical characteristics before and after lyophilization using nanoparticle tracking analysis, transmission electron microscopy, and EV marker-expression analysis. To assess regenerative efficacy, lyophilized EVs were applied topically to full-thickness ear wounds in CCR2-GFP mice. Wound-healing progression and CCR2-positive cell infiltration were monitored during tissue recovery using intravital microscopy. Lyophilized EVs preserved their characteristic morphology, particle-size distribution, and EV surface marker expression after storage. In vivo analysis showed that EV-treated wounds closed significantly faster than phosphate-buffered saline-treated controls. Additionally, lyophilized EV treatment reduced CCR2-positive inflammatory cell recruitment during healing, suggesting an immunomodulatory role in tissue regeneration. These findings show that EVs lyophilized and stored at -80 {degrees}C retain biological function and therapeutic potential in vivo. Lyophilized EVs may, therefore, provide a practical strategy for long-term storage and delivery of EV-based regenerative therapeutics.

Cell Biology↗

bioRxiv2026

Miniaturized subcutaneous cellular implants for sustained therapeutic protein delivery in resource-limited settings

Cell encapsulation offers a promising strategy for sustained therapeutic protein delivery, obviating the need for repeated injections. Among potential implantation sites, the subcutaneous space is particularly attractive for its accessibility and amenability to minimally invasive procedures. However, performance of subcutaneous devices reported to date has been limited due to various challenges including foreign body response (FBR) and inadequate mass transfer. Moreover, typical encapsulation devices require surgeries for implantation and retrieval, limiting their potential use in resource-limited settings. Here we present a miniaturized cell encapsulation platform comprising cells engineered to produce therapeutic proteins and an FBR-mitigating zwitterionic polyurethane nanofibrous membrane, in a thin cylindrical form factor compatible with applicator-based minimally invasive implantation and retrieval. Clonal mesenchymal stromal cells engineered to produce PGT121, a broadly neutralizing anti-HIV-1 antibody, were encapsulated and inserted subcutaneously, achieving long-term cell survival and sustained serum PGT121 concentrations for up to 36 weeks across multiple murine models. Cell-loaded devices retained therapeutic function after cryopreservation, supporting their potential use as an off-the-shelf product that can be centrally manufactured and implanted on-site without specialized infrastructure. The custom-designed applicator-based implantation and minimally invasive retrieval procedures were demonstrated in a more clinically relevant minipig model. These mini-"cellular factories" represent a translatable strategy for sustained delivery of biologic drugs in resource-limited settings. One Sentence SummaryAn insertable and retrievable mini cellular construct enables sustained protein delivery, supporting its potential use in resource-limited settings.

bioengineering↗

bioRxiv2026

L Fucose Dependent Biofilm Formation by Escherichia coli Enhances Polymicrobial Interactions and Antibiotic Tolerance on Urinary Catheters

Urinary tract infections are common healthcare associated infections, a large subset of which are caused by indwelling catheters. Long term catheterization causes persistent, asymptomatic, polymicrobial colonization despite catheters changes and antibiotic usage. In these polymicrobial populations, P. mirabilis, E. faecalis, and E. coli were found as the most common co-colonizing species. We investigated how interactions between P. mirabilis, E. coli, and E. faecalis contribute to biofilm formation and colonization of urinary catheters. Our results show that the interaction between these three species leads to enhanced biofilm biomass driven by an increase in total protein content of the biofilm. Biofilm enhancement required all three species and was also media-dependent, especially for dual-species combinations. Importantly, triple species biofilms also demonstrate biofilm enhancement when established under flow conditions in a biofilm reactor model using silicone urinary catheters. Additionally, triple species biofilm enhancement occurred in co-colonizing isolates from catheterized patients and was found to be specific to interactions between these three species. Triple species biofilms also demonstrated a species-dependent resistance to two commonly used antibiotics, ciprofloxacin and nitrofurantoin. By examining priority effects, E. coli was found to be the main facilitator of biofilm enhancement in a flow model. Finally, proteomics revealed that an L-fucose utilization pathway in E. coli was a key contributor to triple species biofilm enhancement. Overall, our results demonstrate the significant impact of polymicrobial interactions on biofilm formation in the catheterized environment and highlight ways in which complex microbial interplay and priority effects can shape the establishment of persistent colonization.

microbiology↗

bioRxiv2026

Cryptic Evolution of Heteroresistance as Adaptation to Treatment Interruptions

The evolution of antibiotic resistance is traditionally understood as a selective sweep to fixation, yielding easily detectable, population-wide resistance. Many clinical isolates, however, exhibit a subtle phenotype in which resistance remains hidden within a susceptible majority despite a clonal genetic background: a phenomenon clinically recognized as heteroresistance (HR). Treatment failure driven by HR has been widely reported across bacterial and fungal infections and in cancer therapy. To understand when and how HR evolves, and why it is selected over classical population-wide resistance, we conducted de novo evolution experiments starting from susceptible Escherichia coli and analyzed the genetic changes and fitness effects in the evolved strains. Prolonged gaps in antibiotic exposure are required for HR to evolve, implicating treatment interruptions as a key driver. HR emerges rapidly and reproducibly with minimal antibiotic use, yet its emergence is not readily detected by routine susceptibility testing. Unlike classical resistance, an evolved HR population partitions at the single-cell level into multiple phenotypes with distinct growth-resistance trade-offs. Their relative abundance shifts dynamically with antibiotic exposure, enabling robust population survival while avoiding the constitutive fitness burden associated with classical resistance. Despite this phenotypic flexibility, stable single mutations including a missense substitution and a short in-frame deletion are sufficient to generate HR, indicating a low evolutionary barrier. Additionally, we found that clinical isolates exhibit genetic and fitness signatures resembling those of our lab-evolved strains, suggesting that clinical HR emerges through the selective mechanism uncovered in our experiments. Together, our results establish HR as a readily evolvable adaptive strategy under treatment interruptions that leverages phenotypic flexibility to maintain resistance at minimal fitness cost, providing mechanistic insight into its emergence and prevalence.

evolutionary biology↗

bioRxiv2026

Hex-MASP for Mapping the Whole-tissue Spatial Proteome and the Intra-brain Distribution of Monoclonal Antibodies

Whole-tissue spatial proteomics level provides critical insights into region-specific biological regulations but remains challenging. Previously, we introduced the Micro-scaffold Assisted Spatial Proteomics (MASP) concept for whole-tissue mapping. However, this prototype required substantial development in spatial resolution, practicality, and throughput for practical application. Here we present a next-generation MASP technique (hex-MASP) featuring i) a new design of hexagonal-micro-wells fabricated with optimized Projection Micro-Stereolithography (P{micro}SL) 3D-printing, achieving high spatial resolution, sampling robustness and mechanical strength for reproducibly compartmentalizing even tough tissues; ii) enhanced throughput/effectiveness in sample preparation and LC-MS analysis with high quantitative quality. Applied to mouse brain, hex-MASP for the first time achieved in-depth, whole-tissue mapping for >6,000 proteins in mouse brains, with high spatial accuracy and excellent data quality. The substantially improved resolution revealed critical regional details across the entire brain, that were not previously captured, enabling precise depiction of protein distribution heterogeneity. This technique enabled the discovery of many unreported regionally-enriched proteins across brain structures. We further applied hex-MASP to investigate the intra-brain distribution of intracerebroventricularly-dosed antibody therapeutics and related proteins, which to our knowledge, enabled whole tissue mapping of protein drugs for the first time and revealed novel mechanistic insights into antibody distribution and localized treatment effects. Hex-MASP represent a robust, scalable platform for whole-tissue spatial proteomics.

pharmacology and toxicology↗

bioRxiv2026

Cholesterol, PtdIns(4,5)P2, and Actin Regulate BK Channel Nanoscale Organization

BK channels form nanoscale clusters, but the membrane and cytoskeletal mechanisms that organize these structures remain poorly understood. Using super-resolution imaging and FRAP, we dissect how cholesterol, PtdIns(4,5)P2, and actin govern BK channel organization expressed heterologously in tsA-201 cells and expressed endogenously in INS-1 cells. Cholesterol depletion produced opposite outcomes across these systems, enlarging clusters in heterologous cells but reducing both size and density in INS-1 cells. PtdIns(4,5)P2 displayed a biphasic regulatory profile: both enrichment and depletion enlarged clusters, revealing that BK assemblies are tuned to a narrow PtdIns(4,5)P2 set point. Actin disruption consistently reduced cluster size and density. Together, these findings show that cholesterol, PtdIns(4,5)P2, and actin are not only functional regulators of BK channels but also key determinants of their nanoscale organization. Across perturbations, changes in channel density strongly predicted changes in cluster size, identifying density as a central organizing principle. Significance statementThis study shows that the nanoscale organization of BK channels is dynamically controlled by membrane lipids and the cytoskeleton, demonstrating that ion channel organization is not fixed but actively shaped by the local membrane environment. Across perturbations, cluster size scales with channel density, underscoring density as a major driver of BK nanoscale organization.

biophysics↗

bioRxiv2026

Whole-brain cellular-resolution functional network properties of seizure susceptibility

Despite its prevalence and clinical impacts, epilepsy remains incompletely understood in terms of the population dynamics that mediate seizure susceptibility, initiation, and propagation across brain-wide networks. In this study, we have performed calcium imaging in zebrafish, brain-wide and at cellular resolution, at baseline and as seizures are induced using the GABAA receptor antagonist pentylenetetrazol (PTZ). We have then modeled the network architecture in wild-type and scn1lab-/- larvae, which are seizure-prone and serve as a model for Dravet syndrome. scn1lab-/- larvae show increased pair-wise correlations between neurons when exposed to PTZ, and graph analyses of these correlations revealed genotype-specific network alterations during seizures, identifying regions and metrics linked to seizure onset. Using generative network modeling, we then explored the wiring rules that govern activity in these networks, identifying specific network properties linked to seizure susceptibility that were only detectable using large-scale, cellular-resolution data. Even at baseline in the absence of seizures, these rules differed by genotype in a way that enabled the identification of scn1lab-/- larvae and predicted individuals seizure risk independently of their observable phenotype. These findings uncover the cellular-resolution network properties of a zebrafish model of Dravet syndrome and establish a predictive framework for seizure susceptibility grounded in multi-scale functional connectivity.

neuroscience↗