Biology subjects

Chen, Y.

Publications and source records attributed to Chen, Y..

At least 217 records · Page 12Linked to original sources

bioRxiv2026

Occupationally Relevant Wildfire Smoke Inhalation Impairs Nitric Oxide Signaling and Promotes Progressive Aortic Stiffening in Hypercholesterolemic Mice

BackgroundWildland firefighters experience repeated occupational exposure to wildfire smoke at high particulate matter (PM) concentrations, leading to elevated cardiovascular disease risk and hypertension prevalence. However, the pathophysiological processes linking cumulative smoke inhalation to vascular damage and blood pressure elevation remain poorly characterized. To evaluate these effects under controlled exposure conditions, we used a preclinical exposure model calibrated to match the cumulative PM burden deposited in wildland firefighter airways over 7-14 years of service. Male apolipoprotein E knockout (Apoe-/-) mice underwent whole-body inhalation of Douglas fir smoke or filtered air for 2 hours/day, 5 days/week, for 8 or 16 weeks at target PM concentrations of 40 mg/m3. ResultsProlonged smoke exposure induced sustained elevation of circulating tumor necrosis factor-alpha (TNF-), interleukin-1 beta (IL-1{beta}), and interleukin-6 (IL-6), coupled with diffused nuclear factor kappa B (NF-{kappa}B) activation throughout the aortic wall. Smoke inhalation disrupted endothelial adherens junctions, upregulated intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1), and promoted monocyte recruitment to aortic tissues, concurrent with enhanced monocyte chemoattractant protein-1 (MCP-1) expression. Oxidative stress was evidenced by increased nicotinamide adenine dinucleotide phosphate (NADPH) oxidase subunit 2 (NOX2) expression, elevated superoxide levels, and endothelial nitric oxide synthase (eNOS) uncoupling in the aorta, leading to lipid peroxidation and accompanied by intimal apoptosis. These inflammatory and oxidative perturbations occurred alongside a pro-fibrotic phenotypic shift characterized by transforming growth factor beta 1 (TGF-{beta}1) upregulation, myofibroblast differentiation, and progressive collagen accumulation in medial and adventitial compartments of the aortic wall. Functionally, smoke exposure progressively impaired aortic cyclic distensibility through combined wall thickening and circumferential tissue stiffening, while severely attenuating endothelium-dependent and nitric oxide (NO)-mediated vasodilation. These functional and structural shifts culminated in elevated systolic and diastolic blood pressures. While endothelial dysfunction reached maximal impairment by 8 weeks, aortic stiffening continued to worsen through 16 weeks of exposure, demonstrating differential temporal progression of vascular damage. ConclusionsThese findings demonstrate that occupationally relevant wildfire smoke exposure produces convergent inflammatory, oxidative, and profibrotic vascular remodeling with progressive loss of arterial compliance and impaired endothelium-dependent vasodilation, underscoring potential vascular targets for cardiovascular health surveillance and risk mitigation in wildland firefighters.

pharmacology and toxicology↗

bioRxiv2026

Targeted extracellular degradation of LRP8 promotes ferroptosis in cancer cells

Tumor reliance on antioxidant defenses creates a vulnerability to ferroptosis, yet strategies to therapeutically disable these systems remain limited. Here, we identify targeted degradation of the selenium uptake receptor LRP8 as an effective approach to decrease the abundance of the ferroptosis-protective enzyme glutathione peroxidase 4 (GPX4). Using bispecific cytokine receptor-targeting chimeras (KineTACs) that couple LRP8 to cytokine receptor internalization pathways, we selectively direct LRP8 to the lysosome for degradation. LRP8 degradation reduces the abundance of several selenoproteins, including GPX4, lowering the cellular threshold for lipid peroxidation and sensitizing cancer cells to ferroptosis. These findings establish receptor-mediated selenium uptake as a critical, targetable node in ferroptosis resistance and demonstrate that extracellular protein degradation can be leveraged to reprogram intracellular translational dependencies in cancer cells. More broadly, this work provides a framework for exploiting nutrient acquisition pathways to overcome therapy resistance.

bioengineering↗

bioRxiv2026

MyD88 deficiency modestly attenuates disease in a Leigh syndrome mouse model while enrofloxacin accelerates disease

Primary genetic mitochondrial diseases (GMDs) are a clinically and genetically diverse group of diseases estimated to impact over 1 in 4,000 individuals. Leigh syndrome (LS) is the most common pediatric presentation of GMD. LS typically presents within the first years of life and is a severe progressive multi-system disorder. Symmetric progressive inflammatory brain lesions are a defining feature of the disease. Patients can also present with seizures, metabolic dysfunction, muscle weakness, and other symptoms. No effective clinical treatments currently exist. Recent data from the Ndufs4(-/-) mouse model shows that peripheral macrophages contribute to brain lesions in LS, that disease is causally driven by innate immune populations, and that depletion of innate immune cells prevents LS disease. However, the precise mechanisms underlying immune activation remain unknown. Certain mitochondrial macromolecules retain bacterial signatures and can act as potent agonists for innate immune pathways. For example, cytoplasmic mitochondrial RNA and mitochondrial DNA are detected by Toll-like receptors (TLRs) 7 and 9, respectively, at the endosome. Accordingly, these are considered strong candidates for mediating innate immune activation in LS. Here, we generated TLR signaling deficient Ndufs4(-/-)/MyD88(-/-) animals to assess whether TLR signaling plays a role in disease onset or progression in LS. Loss of MyD88 in Ndufs4(-/-) animals statistically significantly increased survival and delayed the onset of some symptoms, but the benefits were modest compared to CSF1R inhibition from prior work. We conclude that Myd88-mediated immune signaling is not a primary driver of LS. Notably, prophylactic enrofloxacin treatment, which was necessary for production of innate immune deficient MyD88(-/-) animals, modestly decreased survival and accelerated disease. The impact of enrofloxacin and similar drugs in the context of mitochondrial disease warrants further investigation.

neuroscience↗

bioRxiv2026

Listeria monocytogenes prophage induction is activated by ppGpp and inhibited by c-di-AMP

Bacteriophages, particularly temperate prophages that integrate directly into the host genome, are crucial drivers of bacterial evolution and act as fundamental architects of microbial communities. Listeria monocytogenes 10403S has two phage elements - prophage {Phi}10403S and monocin element. In this study, we found that c-di-AMP, a crucial second messenger in L. monocytogenes, regulates phage production. C-di-AMP accumulation down-regulates the gene expression of prophage and monocin gene loci and inhibits phage production, both spontaneous phage production as well as under phage induction through mitomycin-C treatment. We found that in genetically heterogenous cultures, super-infection of non-lysogenic strains with phage-containing strains can significantly amplify spontaneous prophage production. Using these cultures as an induction system, we found other inducers of spontaneous phage production. We found that ppGpp accumulation and nutrient starvation acts as an inducer of the spontaneous prophage production in L. monocytogenes. H2O2 can also play a role in inducing spontaneous phage production. Moreover, {Phi}10403S prophage production is suppressed in co-cultures of L. monocytogenes 10403S with L. monocytogenes F2365 and L. innocua CLIP11262. ImportanceMost Listeria and L. monocytogenes strains are lysogens, although the impact of phage genes on bacterial host metabolism or host fitness during bacterial competition is still unexplored. Bacteriophages have been shown to influence the evolution of their host and, in several cases, have a major effect on environmental fitness, pathogenicity and/or virulence of bacterial pathogens, either by regulating expression of critical genes or encoding beneficial genes. Prophages provide their hosts with a competitive edge through lysogenic conversion-- introducing novel toxins and defense systems--while simultaneously maintaining a molecular trigger, in the form of lysogenic-to-lytic switch, capable of initiating population-wide lysis in response to environmental stress. In the human pathogen Listeria monocytogenes, these prophages are near-ubiquitous and studies by other groups have described them as critical regulators of the bacteriums SOS pathways and its pathogenic lifestyle. This study identifies important novel regulators of phage induction in Listeria monocytogenes - c-di-AMP, ppGpp and H2O2, and how phage induction and production can shape the dynamics of bacterial competition of its host.

microbiology↗

bioRxiv2026

Culsma: A Formal Language for Laboratory Protocols

Laboratory protocols are commonly communicated in natural language, leaving room for variation in how experimental commitments are understood and carried out. We present Culsma, an executable specification language in which protocols are written as programs. The same program is legible to bench scientists and directly machine-readable by software that checks and runs it. It serves as the protocol's operational specification, making experimental commitments explicit for checking before execution and retaining them in results. Culsma addresses how experimental procedures are modeled: it defines operations by the experimental changes and relationships they establish, giving a fine-grained, compositional basis whose technique- and device-specific realizations remain extensible. We examine this boundary in workflows spanning molecular and cell biology, protein biochemistry, and immunoassays, which combine material handling, separation, and measurement differently, asking which distinctions the operation interface preserves. A maintained, source-linked benchmark broadens this evaluation with versioned checks of source-step correspondence and software execution.

bioinformatics↗

bioRxiv2026

Chemogenetic Inhibition of the Cortical Amygdala Reduces Alcohol Intake and Restores Thalamic Connectivity in Dependent Female Mice

BackgroundAlcohol use disorder is a chronic relapsing condition characterized by excessive drinking and withdrawal symptoms. Alcohol dependence disrupts function across multiple brain regions, and recent evidence implicates the cortical amygdala (CoA) as a critical node in alcohol-related circuits. However, how CoA activity influences alcohol intake and brain-wide network function during withdrawal remains unclear. MethodsAlcohol dependence was induced using chronic intermittent ethanol vapor (CIE). In one cohort, electrophysiological activity of CoA neurons was assessed during withdrawal. In a second cohort, mice underwent CIE paired with two-bottle choice drinking, and inhibitory DREADDs (hM4Di) were used to suppress CoA activity during drinking and withdrawal while behavioral outcomes were measured. Brains were then collected for Fos immunolabeling and iDISCO+ based whole-brain activity mapping to determine how CoA inhibition during withdrawal altered network organization. ResultsRepeated CIE increased alcohol sensitivity in CoA neurons during withdrawal. Chemogenetic inhibition of the CoA reduced alcohol intake in dependent mice without affecting withdrawal-related behaviors. Whole-brain Fos mapping showed that CoA inhibition reduced activity within the CoA while enhancing functional connectivity across multiple brain regions, particularly in the isocortex, thalamus, and anterior hypothalamic nucleus. During withdrawal without CoA inhibition, thalamic regions exhibited negative connectivity, consistent with disrupted network function; CoA inhibition reversed this pattern, producing strongly positive thalamic and medial prefrontal cortex connectivity. ConclusionsThese findings demonstrate that alcohol dependence alters CoA sensitivity, alcohol dependence-induced drinking and brain-wide network organization during withdrawal. The CoA appears to selectively regulate withdrawal-associated alcohol drinking, and its inhibition may reduce intake by restoring thalamic and cortical connectivity. HighlightsO_LIThis study identifies the cortical amygdala as a previously underexplored brain region involved in alcohol-related behaviors. C_LIO_LIBy integrating chemogenetic inhibition with brain-wide network analysis, the study reveals candidate circuit connections through which the CoA may regulate alcohol dependence-related brain activity. C_LIO_LIThis study establishes the CoA as a potential driver of excessive alcohol drinking and alcohol-related network dysfunction. C_LI

neuroscience↗

bioRxiv2026

Co-expression of IBDV VP2 and H9N2 HA by recombinant HVT induces high protection against both pathogens in chickens

Infectious bursal disease virus (IBDV) and H9N2 avian influenza virus (AIV) are significant global threats to poultry health and production. While IBDV induces severe immunosuppression, undermining host defense and vaccine efficacy, H9N2 AIV is characterized by widespread prevalence, persistent shedding, and substantial economic losses. Conventional inactivated vaccines often fail to elicit robust cellular immunity and necessitate multiple booster doses, underscoring the urgent requirement for advanced multivalent vaccination platforms. To address this, we developed a recombinant herpesvirus of turkey (rHVT BAC-VP2-HA) using a bacterial artificial chromosome (BAC) vector system, engineered to co-express the major protective antigen VP2 of IBDV and the hemagglutinin (HA) of H9N2 AIV. Genetic stability and in vitro characterization confirmed that the recombinant exhibited replication kinetics and plaque morphology comparable to parental HVT, with stable antigen expression. In SPF chickens, rHVT BAC-VP2-HA induced strong humoral immune responses against both target antigens, comparable to those elicited by a commercial inactivated vaccine. Crucially, the recombinant virus significantly enhanced cellular immunity, evidenced by markedly elevated CD3+CD8+ T cell responses. Upon challenge, the recombinant conferred high clinical protection (86%) against virulent IBDV, significantly ameliorating bursal pathology and reducing viral loads. Notably, it provided complete (100%) protection against H9N2 AIV, effectively abolishing viral shedding and suppressing viral replication in respiratory tissues. These results demonstrate that rHVT BAC-VP2-HA is a safe and efficacious candidate capable of eliciting humoral and cellular immune responses, offering a promising strategy for the integrated control of major poultry diseases. ImportanceInfectious bursal disease virus (IBDV) and H9N2 avian influenza virus (AIV) are major pathogens that frequently co-circulate in poultry, where IBDV-induced immunosuppression compromises the efficacy of vaccination against other infectious diseases. Conventional inactivated vaccines primarily induce humoral immunity and are often insufficient to prevent viral shedding or provide broad protection against multiple pathogens. In this study, we developed a recombinant herpesvirus of turkeys (HVT) vaccine co-expressing the IBDV VP2 and H9N2 HA antigens and demonstrated that it induces both robust antibody responses and enhanced CD8+ T cell immunity. Notably, this vaccine not only provided effective protection against IBDV but also completely prevented viral shedding following H9N2 challenge. These findings highlight the advantage of HVT-vectored multivalent vaccines in eliciting balanced immune responses and controlling virus transmission, providing important insights for the development of next-generation vaccines against immunosuppressive and respiratory viral co-infections in poultry.

microbiology↗

bioRxiv2026

A Deep Learning Framework for Spatiotemporal Modeling of Visual Task fMRI

Characterizing the dynamic coordination of distributed brain regions during cognitive tasks remains challenging, as traditional fMRI analysis focuses on localized activations without revealing the underlying information flow that drives them. Here, we propose STREAM (Spatiotemporal Representation for Effective connectivity Analysis Model), a deep-learning framework that learns neural transition functions in task-fMRI to characterize effective connectivity and whole-brain information flow. Applied to visual category processing in 1074 participants, STREAM accurately reconstructs activation maps while further revealing that traditional activation regions are primarily driven by incoming signals. Moreover, the Default Mode Network acts as a high-level regulatory hub with extensive outgoing influence, challenging its passive characterization. Additionally, category-specific communication emerges from dynamic reconfiguration of signaling patterns among key hubs rather than static pathways. These findings establish a novel computational paradigm that uncovers directional signaling mechanisms driving local dynamics in task-fMRI, revealing how the brain flexibly reconfigures functional architecture for complex cognition.

neuroscience↗

bioRxiv2026

An aPKC rheostat induces apical contraction in response to epithelial stretching

Apical-basal polarity in epithelial cells is controlled by a conserved set of polarity factors that define the apical, junctional and basolateral domains of the cell, but how these factors adapt to or control changes in domain sizes during cell shape changes remains unclear. Atypical protein kinase C (aPKC) is the main effector of apical identity, phosphorylating the lateral factors, Bazooka/Par-3, Lgl, Par-1 and Yurt to exclude them from the apical domain. Using analogue-sensitive aPKC in Drosophila follicle cells, we found that aPKC substrates differ over 100-fold in their sensitivity to inhibition, revealing a hierarchy of substrates, that is conserved in mammals, in which high-affinity substrates out-compete low-affinity substrates when aPKC activity is limiting. Mild aPKC inhibition prevents the phosphorylation of its lowest affinity substrate, Yurt. Yurt then accumulates apically by binding to Crumbs, where it activates apical constriction through Shroom, Cysts/Dp114RhoGEF, Rho kinase and Myosin. Yurt localises apically in cells that are stretched, either by morphogenesis or artificially, indicating that stretching reduces aPKC activity to trigger an antagonistic contraction. By contrast, yurt- cells fail to resist stretching. Thus, the aPKC/Yurt pathway functions as a homeostatic stretch response, in which apical and lateral epithelial polarity factors collaborate to mechanically regulate apical domain size.

cell biology↗

bioRxiv2026

Dependencies in heterogeneous, lineage plastic patient-derived prostate cancer organoids revealed through integrated single-cell multiomics and CRISPR screening

Lineage plasticity and tumor heterogeneity limit the effectiveness of targeted therapies, yet the functional dependencies used to nominate therapeutic targets are often derived from homogeneous systems that fail to capture this complexity. Here, we establish a framework to resolve state-specific genetic vulnerabilities by integrating single-cell multiomics (RNA and ATAC) with pooled CRISPR-Cas9 screening across a large panel of patient-derived organoids (PDOs) from castrate-resistant prostate cancer (CRPC) and neuroendocrine prostate cancer (NEPC). We generate a single-cell multiome atlas spanning >190,000 cells across 22 PDOs, defining seven lineage states--including intermediate and plastic populations not resolved by bulk profiling--and demonstrate that these lineage programs robustly classify independent transcriptomic datasets from prostate cancer patient tumors. By systematically coupling this atlas to subtype-resolved CRISPR screens, we construct a functional dependency map linking cell state in heterogeneous 3D human tumor models. We show that intratumoral heterogeneity fundamentally reshapes the interpretation of gene essentiality, whereby gene-level depletion reflects the composite behavior of co-existing subpopulations, and identify a general principle in which resistant "limiting" populations disproportionately determine aggregate fitness effects. This framework reveals both canonical and previously unrecognized lineage-restricted dependencies within highly plastic tumor and NEPC states, including a therapeutically targetable dependency on the aryl hydrocarbon receptor (AHR) in a novel hybrid stem-like/ASCL1 population. Together, these data establish an extensive multi-dimensional prostate cancer resource, identify novel lineage-resolved biology, and provide a generalizable strategy for interpreting functional genomics in heterogeneous human tumors.

cancer biology↗

bioRxiv2026

Selective encoding failure of self-face identity in subthreshold depression

Subthreshold depression is associated with significant functional impairment and elevated risk of major depressive disorder. A negative self-concept may disrupt the implicit positive association evoked by ones own face, impairing incidental encoding of self-relevant information. Whether subthreshold depression involves a selective deficit in encoding self-face identity remains unclear. The attribute amnesia paradigm is well suited to address this question because it can dissociate attentional selection from working memory encoding. Using this paradigm, we examined the issue across two experiments. Experiment 1 employed nonsocial stimuli (animal drawings) and confirmed an intact attribute amnesia effect in subthreshold depression (n = 30) comparable to healthy controls (n = 30), ruling out a generalized encoding deficit. Experiment 2 replaced targets with faces (self or other) and revealed a selective enhancement of the attribute amnesia effect for self-face identity in subthreshold depression. Specifically, on the surprise trial, accuracy for self-face identity dropped to near-chance levels in the subthreshold depression group, whereas no such deficit emerged for other-faces or in controls. Encoding recovered rapidly once explicit memory expectations were introduced, indicating intact basic encoding capacity. These findings suggest that subthreshold depression is associated with a specific impairment in incidentally encoding self-face identity. This impairment likely stems from a negative self-concept that weakens self-face salience under incidental encoding conditions. By capturing this selective encoding failure, the present study reveals that the self-processing deficit in subthreshold depression can arise at the gating stage between attention and working memory consolidation.

neuroscience↗

bioRxiv2026

Bridging LLM Reasoning and Chemical Knowledge via an Evolutionary Multi-Agent Framework for Molecular Synthesis

MotivationMolecular design faces the dual challenge of navigating a vast chemical space while ensuring experimental synthesizability. Traditional models are constrained by small datasets, restricting their scalability and broader chemical context. In contrast, Large Language Models (LLMs) encapsulate extensive synthesis protocols derived from vast scientific literature, yet they struggle to leverage this potential due to severe hallucinations and a superficial grasp of rigorous chemical logic. ResultsWe propose EvoSyn, an evolutionary multi-agent framework that synergizes LLM reasoning with domain experts for preference-aware molecular synthesis. EvoSyn orchestrates a dual-process evolutionary paradigm: a co-evolving process that collaboratively aligns linguistic capabilities with multi-objective constraints, and a self-evolving process formulated as a Markov Game. Through evolution and reinforcement learning, agents actively learn from mistakes, utilizing domain feedback to penalize invalid proposals and ground generation in feasible reaction pathways. Extensive evaluations on comprehensive benchmarks demonstrate that EvoSyn significantly outperforms state-of-the-art baselines. These results highlight that by integrating LLM-guided self-evolution with rigorous domain validation to mitigate hallucinations, EvoSyn effectively yields molecules that are both bioactive and synthetically actionable. Availability and implementationImplementation code is available as supplementary material. Contactyangyd25@mail.sysu.edu.cn Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2026

The Par complex regulates apical-basal cell polarity through modulation of FAK signaling homeostasis

Cell polarity complexes are essential for embryogenesis, but their regulatory mechanisms during early developmental transitions remain incompletely understood. Here, we individually deleted the Crumbs, Par, and Scrib polarity complexes in mouse embryonic stem cells (mESCs). While loss of any single complex did not affect pluripotency or proliferation, deletion of Par complex disrupted the naive-to-primed transition and impaired subsequent differentiation, particularly lumen formation in neural tube organoids. Mechanistically, Par complex deficiency led to hyperphosphorylation of focal adhesion kinase (FAK) at the primed stage, driving a morphological shift from flat monolayer clusters to dome-shaped colonies. FAK inhibition rescued the aberrant morphology. Upstream, Par complex loss increased AKT phosphorylation, which remodeled extracellular matrix (ECM) and regulated integrin signaling via FURIN-LEFTY, ultimately modulating FAK activity. In addition, conditioned medium from wild-type cells partially rescued differentiation defects in Par knockout cells in a LEFTY-dependent manner. These phenotypes were consistently observed in naive-to-primed transition, neural stem cell differentiation, embryoid body formation, teratoma assays, and neural tube organoid differentiation. Together, these findings establish a Par complex-AKT-FURIN-LEFTY-ECM-integrin-FAK signaling cascade that links apical-basal polarity to early lineage specification and morphogenesis, providing a mechanistic framework for how polarity cues are translated into developmental outcomes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/722465v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@179e0adorg.highwire.dtl.DTLVardef@8d83bdorg.highwire.dtl.DTLVardef@c425fforg.highwire.dtl.DTLVardef@19a8ee5_HPS_FORMAT_FIGEXP M_FIG C_FIG Significance StatementThis study elucidates the molecular mechanism by which the Par complex regulates the establishment of cell polarity. The authors demonstrate that the Par complex promotes the expression of the protein convertase FURIN via AKT signaling, thereby enhancing the maturation and secretion of LEFTY protein. This process remodels the ECM and modulates integrin signaling, ultimately regulating FAK activity and controlling the establishment of cell polarity. These findings reveal how polarity cues govern early lineage specification and morphogenesis, with implications across multiple developmental contexts.

developmental biology↗

bioRxiv2026

Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery

In biomedical scientific discovery, synthesizing prior knowledge from the literature is an essential component of interpreting numerical omics data analyses for disease target identification and drug discovery. Large language models (LLMs) alone can rapidly retrieve disease mechanisms from biomedical text, but text-only outputs are general and unreliable for target and drug prioritization without cohort-specific quantitative evidence. Herein, we propose a provenance-aware Text-to-Target framework that couples schema-constrained multi-model LLM retrieval with numeric omics data analysis. The key design is a modality-aware fusion step: candidates are partitioned into overlap-supported anchors, retrieval-only hidden hubs, and network-emergent novelty nodes, then propagated into staged hypothesis and strategy generation under topology constraints. We evaluate the model in Alzheimers disease (AD) and pancreatic ductal adenocarcinoma (PDAC). In PDAC, the workflow produced a balanced 75-gene candidate universe and a 23-strategy portfolio, with significant DepMap support at both target level and strategy level. In AD, stricter candidate controls yielded a compact 34-gene universe and 14 strategies; under an expanded CRISPRbrain registry, both target-level axes were significant, with strong strategy-level enrichment. Across both diseases, final strategies preserved full provenance closure to the candidate pool, enabling end-to-end auditability from retrieval artifacts to validation outputs. These results support a transferable discovery architecture in which omics evidence constrains biological activity, LLM retrieval expands mechanistic search space, and network-aware fusion preserves interpretability. The framework provides a reproducible basis for dual-disease target prioritization and motivates continuous literature-mechanism concordance with agentic evidence-refresh loops.

bioinformatics↗

bioRxiv2026

STAT: A multi-agent framework for integrated and interactive spatial transcriptomics analysis

Spatial transcriptomics analysis often involves a myriad of computational methods across diverse platforms, leading analysts to spend excessive time on data assembly rather than deriving biological insights. Current AI solutions tend to either oversimplify spatial data into generic single-cell tables or operate autonomously without opportunities for intermediate review, thus hindering the visual and iterative analyses essential for spatial biology. In response to these challenges, we introduce STAT, a multi-agent framework designed to make spatial analysis more conversational and user-friendly while maintaining transparency and control. STAT integrates a persistent session, a shared interactive tissue viewer, and a staged skill-aware pipeline, enabling a more intuitive analytical experience. In a comprehensive benchmark evaluation encompassing eleven analytical task categories across three spatial platforms and both cell- and spot-resolution data, STAT demonstrates superior performance compared to a vanilla large language model and existing autonomous spatial analysis agents, excelling in task completion, analytical quality, and token efficiency. Notably, STAT enables multi-task spatial analysis of a mixed-resolution breast cancer cohort and successfully reproduces key findings from a published Visium HD colorectal cancer study using natural language prompts alone. STAT thus facilitates trustworthy and scientifically rigorous spatial transcriptomics analysis, allowing researchers to focus more on biological interpretation.

bioinformatics↗

bioRxiv2026

Axonal swelling as a neuron-specific compartment to sequester and expel misfolded proteins

Neurons are long-lived, highly specialized cells with extended neurites, requiring precise control of misfolded proteins over time and space. Yet, where misfolded proteins are directed and how quality-control pathways adapt during aging are still unresolved. Here, we identify a neuron-specific quality-control compartment that emerges in neurites as aggresome function declines with age, which we call SolAS (Soluble Misfolded Proteins-induced Axonal Swellings). These structures not only sequester misfolded proteins but also facilitate their clearance via microvesicles and exophers. During aging, neurite SolAS and soma aggresomes function hierarchically to maintain proteostasis, with aggresomes acting as the primary sequestration sites in young neurons and SolAS taking over this role as their function declines with age. This transition is driven by a shift from a ubiquitin-dominant to a SUMO-dominant balance. Moreover, solid pathogenic amyloids, such as GA50, can be converted into soluble forms and sequestered into SolAS via SUMO fusion, thereby reducing neurotoxicity. Our findings identify a previously unrecognized neuronal quality-control pathway critical for proteostasis during aging.

neuroscience↗

bioRxiv2026

AM-DMF-SCP-pro: An Ultrafast and Streamlined Nanolitre-Scale Lab-on-a-Chip Platform for Single-Cell Proteomics and Tumor Microenvironment Profiling

Single-cell proteomics (SCP) remains constrained by slow sample preparation and background interference in low-input, multistep workflows, limiting its broader practical use in complex biological samples. Here we report AM-DMF-SCP-pro, a streamlined active-matrix digital microfluidic workflow that enables rapid on-chip lysis and digestion in 6 nL droplets within a closed nanolitre-confined microenvironment. AM-DMF-SCP-pro reduces total sample-preparation time to as little as 30 min, including a 15 min digestion step, while maintaining quantitative reproducibility and digestion performance. Systematic optimization of mass spectrometry acquisition and nanolitre-scale digestion conditions enables deeper, more sensitive and lower-background proteome profiling from ultra-low peptide inputs. In murine tumor samples, AM-DMF-SCP-pro reliably resolves immune and tumor compartments, identifies treatment-associated tumor cell states and enables quantitative analysis of neutrophil-associated proteomic signatures. These results establish AM-DMF-SCP-pro as a practical workflow for rapid, low-background single-cell proteome profiling in complex biological samples.

systems biology↗

bioRxiv2026

IL-36γ Drives Th9 cell Differentiation via IκBζ to Sustain Antitumor Immunity

Th9/Tc9 cells polarized with TGF-{beta} and IL-4 exhibit superior antitumor efficacy, prompting extensive efforts to optimize their differentiation protocols and augment therapeutic potency. In the current study, we identified IL-36{gamma} as a potent cytokine that synergizes with TGF-{beta} to robustly drive Th9 differentiation both in the presence and absence of IL-4. IL-36{gamma}-programmed Th9 cell subsets exhibited phenotypic and transcriptional profiles identical to classic Th9 cells. Mechanistically, IL-36{gamma} drove Th9 cell differentiation through amplifying key signaling pathways such as STAT6, STAT5, and NF-{kappa}B that are essential for classic Th9 programming. Notably, we uncovered a novel regulatory axis wherein IL-36{gamma} upregulates the transactivation factor I{kappa}B{zeta}, which directly governs Th9 lineage specification. In in adoptive cell therapy (ACT) models, IL-36{gamma}-polarized Th9 cell subsets demonstrated enhanced antitumor efficacy, attributable to their sustained persistence, reduced exhaustion markers and stem-like/memory properties. Collectively, this study elucidates a previously unrecognized I{kappa}B{zeta}-dependent mechanism underpinning Th9 differentiation and highlights the translational potential of IL-36{gamma}-engineered Th9 cells as a valuable ACT strategy for refractory tumors.

immunology↗