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Preprint

Preprint: explore 500 source-linked works published from 2026 to 2026, with original documents and citations.

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Includes records with this source-supplied label or an explicit phrase match in their metadata. Matches indicate a mention, not proof that a paper uses a method or tests a material. Source versions are consolidated by DOI.

Sources: biorxiv. Collection updated 2026-09-15. Counts describe this index, not the complete source archives.

Interactive downstream proteomics analysis with MiraProt using Mueller cell proteomes from equine recurrent uveitis

Mass spectrometry-based proteomics requires downstream analysis of processed protein abundance data, including data inspection, filtering, statistical testing, functional enrichment, protein set comparison, network analysis, and visualization. MiraProt was developed as a modular, metadata-aware R Shiny platform that integrates these steps in a single interactive workflow for processed protein-level proteomics data. Its metadata-aware design enables identifiers, sample information, experimental conditions, transformations, and derived data columns to be defined during data preparation and reused consistently across downstream analyses. To demonstrate its use, we reanalyzed a previously published label-free proteomic dataset of primary retinal Mueller cells from healthy horses and horses with equine recurrent uveitis (ERU). ERU is a naturally occurring autoimmune eye disease of horses characterized by recurrent intraocular inflammation triggered by autoreactive T-cells. Mueller cells are specialized retinal macroglia with various functions such as maintaining retinal ion homeostasis and supporting retinal neuron metabolism. Of 193 proteins with an adjusted p-value [≤] 0.05, 187 also showed at least a twofold abundance difference between ERU-derived and control Mueller cells. Functional enrichment highlighted nuclear RNA processing, chromatin-associated structures, DNA and RNA binding, interferon responses, and cell-cycle-associated programs. Gene set enrichment analysis identified positive enrichment of Interferon Alpha Response, Interferon Gamma Response, and MYC-, E2F-, and G2M-associated gene sets. Network analysis of shared proteins further linked this signature to DNA replication, mitotic checkpoint control, and RNA processing. ERU-derived Mueller cells also showed increased abundance of MHC class II-associated proteins. Together, these findings identified an interferon-responsive, cell-cycle-associated, and MHC class II-associated Mueller cell protein signature in ERU and generated experimentally testable hypotheses for further mechanistic studies. MiraProt provides an accessible, metadata-aware framework for reproducible downstream exploration of processed proteomic datasets and prioritization of candidate proteins and pathways for experimental follow-up.

bioinformatics

Personalized phosphoproteomics establish mTORC1 as a regulator of exercise-induced insulin sensitization in human skeletal muscle

Exercise enhances skeletal muscle insulin sensitivity, but the signaling mechanisms responsible are poorly understood. Understanding them may open new therapeutic avenues for individuals with limited exercise capacity. Here, we used rapamycin to inhibit mTORC1 in combination with exercise and insulin stimulation in healthy men. A single dose of rapamycin enhanced the insulin-sensitizing effect of exercise by 53% on average compared to placebo. Responses varied widely across individuals (-40% to 218%), and we leveraged this variance through personalized phosphoproteomics to map the mTORC1-dependent signaling network in skeletal muscle. This identified the protein kinase MKNK2 as a candidate downstream effector, which we then targeted for functional validation. Pharmacological inhibition of MKNK2 with eFT508 in insulin-clamped mice reduced both whole-body and skeletal muscle insulin sensitivity, confirming a functional role for MKNK2 activity in muscle glucose uptake. We then used eFT508 in ex vivo incubated human skeletal muscle to map the signaling network downstream of MKNK2, identifying the translational initiator eIF4G1 as a further regulatory node. Together, these findings indicate that exercise-induced insulin sensitization is actively constrained by a negative feedback pathway running from mTORC1 through the translational regulators MKNK2 and eIF4G1, raising the possibility that rapid translation of unidentified target proteins contributes to fine-tuning glucose uptake.

physiology

High-Resolution Subtyping of Pediatric Low-Grade Glioma Using an Integrated Meta-Clustering Framework

Pediatric low-grade glioma (pLGG) is the most common type of brain tumor in children, accounting for approximately 30% of all central nervous system tumors in children. pLGG has multiple molecular subtypes that differ in disease progression, recurrence patterns, and treatment responses. Conventional wet lab approaches including molecular profiling and histopathological studies for pLGG characterization are time consuming, costly, and laborious. Recently, methods based on artificial intelligence (AI) or machine learning (ML) have been widely used for pLGG molecular categorization, but most of them can only identify two or three pLGG subtypes. To more comprehensively characterize the molecular subtypes of pLGG and their potential biological and therapeutic significance, we develop an integrated meta-clustering approach, namely Meta-pLGG, that can explore high resolution molecular subtypes and their transcriptional heterogeneity for pLGG. Specifically, we first performed multiple rounds of random projection (RP) to generate dimension-reduced feature vectors from pLGG transcriptomics data, each of which was subsequently clustered by different clustering algorithms including hierarchical clustering, K-means, Self-Organizing Maps (SOM), Non-negative Matrix Factorization (NMF), Gaussian Mixture Model (GMM), and Spectral Clustering, as base clustering methods. Then, to yield robust clustering performance, we integrated the clustering results of these RP based individual clustering algorithms by adopting a weighted meta-clustering (wMetaC) approach. Results based on 532 pLGG patients suggested that our proposed approach demonstrated superior stability and discriminative powers for higher resolution pLGG subtyping compared to conventional approaches. Based on consensus matrix analysis, we identified two major pLGG mega-subtypes, with one further subdivided into three subgroups and the other into two. Then, we performed cluster specific differential gene expression analysis, molecular pathway analysis, and gene-drug-disease association analysis. The results showed that the identified five subgroups exhibited significant subtype-specific transcriptomic heterogeneity. In summary, our meta-clustering approach demonstrated much higher performance and robustness in identifying higher resolution molecular subtypes of pLGG, revealing the molecular heterogeneity within pLGG and potentially providing new insights for more precise molecular subtyping and precision therapy.

bioinformatics

The mitochondrial RNA extrusion-induced innate immunity is regulated by N6-methyladenosine machinery

Mitochondrial RNA (mtRNA) released into the cytosol functions as a damage associated molecular pattern that activates pattern-recognition receptor (PRR)-mediated inflammation, yet its release mechanisms and cytoplasmic fate remain poorly understood. Here we report that chemical Abt-373-treatment and Vesicular stomatitis virus (VSV) infection induce mtRNA extrusion through Bax/Bak and VDAC1 channels, accompanied by mtDNA release. Extruded mtRNA in A549 cells activates multiple cytosolic PRRs, including RIG-I, MDA5, TLR3/7/8, and PKR, each contributing differentially to the innate immune signaling. Analysis of GEO datasets and methylated RNA immunoprecipitation (MeRIP) assays further reveals that mtRNA carries methyladenosine (m6A) modification. m6A machinery proteins are involved in the cytoplasmic retention time of mtRNA and its interaction with RIG-I, thereby modulating mtRNA-induced innate immunity. Thus, our work establishes in vitro models of mtRNA extrusion, and highlights m6A-dependent modulation as a potential therapeutic target for mtRNA-driven inflammation.

immunology

Genetic Disruption at the CIP2A Locus Modulates T Cell Responses and Attenuates Experimental Autoimmune Encephalomyelitis

Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system (CNS) driven by pathogenic T cell-mediated inflammation. Fingolimod (FTY720), an approved therapy for MS, is an established activator of protein phosphatase 2A (PP2A). However the contribution of PP2A in autoimmune neuroinflammation remains incompletely understood. Here, we addressed this question using experimental autoimmune encephalomyelitis (EAE), a murine model of MS, in mice carrying a genetic disruption of the locus encoding cancerous inhibitor of protein phosphatase 2A (CIP2A), an endogenous inhibitor of PP2A. Mice with disruption of the CIP2A locus, the knock out (KO) mice, exhibited attenuated EAE severity compared with wild-type (WT) controls. Histological and flow-cytometric analyses revealed markedly reduced infiltration of mononuclear cells, including CD4 and CD4CXCR6 encephalitogenic T cells, in the CNS of diseased KO mice. Reduced numbers of these T cell populations were also observed in peripheral lymphoid organs of the Cip2a-deficient mice during EAE, while T cell abundance was comparable under steady-state conditions, suggesting impaired activation-induced expansion rather than altered homeostasis or migration. Single-cell RNA sequencing of CNS and lymph node immune cells revealed changes in cell-type abundance and gene expression. Notably, Il17a expression was reduced in CNS CD8+ T cells and showed a similar trend in {gamma}{delta} T cells. Together, our findings reveal that genetic disruption at the CIP2A locus attenuates EAE, possibly by limiting the expansion and accumulation of encephalitogenic T cell populations in CNS. These results identify the CIP2A locus as a previously unrecognized regulator of T cell-driven autoimmune neuroinflammation and provide new insights into mechanisms that restrain pathogenic T cell responses during EAE.

immunology

Lipid-ASO therapeutics exhibit differential tissue targeted delivery upon systemic or local CNS administration

Antisense oligonucleotides (ASOs) are a powerful therapeutic modality, but their full potential is hindered by pharmacokinetic properties that affect tissue and cellular delivery. Lipid conjugation is increasingly used to modulate ASO's biodistribution and promote extrahepatic activity, yet lipid dependent effects on in vivo functional delivery, particularly in the central nervous system (CNS), remain less explored. Here, we performed a side by side in vivo comparison of cholesterol, palmitic acid (C16:0), docosanoic acid (C22:0), and eicosapentaenoic acid (C20:5) conjugated to a fully phosphorothioated 3 10 3 LNA gapmer ASO targeting the Malat1 long non coding RNA. Lipid-ASO conjugates were administered systemically or locally in the brain of mice and evaluated for tissue level and cellular level distribution by imaging, qPCR and single-cell RNA sequencing, simultaneously annotating cell origin and global transcriptional changes within the cell. Following systemic administration in mice, lipid conjugation improved overall multi organ efficacy compared to unconjugated ASO, but with pronounced tissue specific differences. Single cell sequencing of liver and heart transcriptomes revealed lipid dependent cellular uptake patterns and transcriptional responses distinct from administration of unconjugated ASO. After intracerebroventricular administration, selected fatty acid conjugates enhanced silencing in deep brain regions such as the striatum, whereas cholesterol conjugation impaired functional delivery despite increased CNS retention. Light-sheet microscopy showed restricted parenchymal penetration of cholesterol ASOs compared with broader but heterogeneous distribution of palmitic acid conjugate. Together, these findings demonstrate that lipid identity critically determines ASO efficacy, productive cellular uptake, and regional CNS engagement, emphasizing the need for context specific lipid design in ASO therapeutic development.

pharmacology and toxicology

A mouse-adapted Staphylococcus aureus strain enables lifelong neonatal colonization and elicits a Th17-dominated immune response

The opportunistic pathogen Staphylococcus aureus persistently colonizes the anterior nares of up to 20% of the human population, yet there were no persistent mouse colonization models to study host-pathogen interaction. Using the mouse-adapted S. aureus strain JSNZ (CC88-MSSA), we established a neonatal S. aureus colonization model in C57BL/6N mice. Natural neonatal colonization was achieved by vertical transmission in a JSNZ-positive breeding colony. Offspring were followed for up to 69 weeks and found persistently colonized in the nose and cecum with high bacterial loads. Adult mice were colonized by intranasal inoculation of JSNZ; controls received PBS. The colonization patterns and the S. aureus-specific T cell responses were then monitored over a period of 28 days and compared between age-matched mice colonized as neonates or adults. The neonatal group remained persistently colonized in nose and gut with high bacterial densities. In contrast, mice colonized as adults had lower and declining bacterial loads in the nose. Some eliminated S. aureus from the nares, while all remained colonized in the gut. Neonatally colonized mice exhibited reduced nasal chemokine levels, which may have favored the prolonged S. aureus persistence. Ex vivo re-stimulation of cervical lymph node cells with an S. aureus antigen cocktail revealed a Th17-dominated antigen-specific T cell response in both colonized groups. The lymph node cells secreted large amounts of IL-17, but Th1-, Th2-associated and regulatory cytokines were also detected. The cytokine patterns were similar in both colonized groups except for IL-5, which was more abundant upon neonatal colonization. In conclusion, vertical transmission of the mouse-adapted S. aureus strain JSNZ reliably establishes persistent high-density neonatal colonization, providing a physiologically relevant model for the study of S. aureus host interactions. Route and timing of colonization do not fundamentally affect the T cell response to S. aureus.

immunology

Human Osteocytes Express MHC ClassII and Act as Non-classical Antigen-Presenting Cells During Bacterial Infection

Osteocytes are the most abundant cells in bone and are increasingly recognised not only for their role in skeletal remodelling and inflammatory signalling but also for their potential involvement in immune responses. In this study, we searched available gene expression datasets of human primary osteocyte-like cells exposed acutely to Staphylococcus aureus and identified significantly induced expression of key genes related to antigen processing and presentation. We then confirmed that human bone explant-derived osteoblastic cells, representative of a mature osteoblast-pre-osteocyte stage, expressed, as expected, high cell surface levels of major histocompatibility complex (MHC) Class I but also, low basal levels of the MHC Class II family member, HLA-DR. However, confocal imaging revealed high expression of MHC Class II molecules and the peptide-loading chaperone HLA-DM within the lysosomal compartments, consistent with canonical antigen-processing machinery. Differentiation towards a mature osteocyte phenotype increased MHC Class II protein levels and maintained expression of intracellular HLA-DM. Exposure of mature osteocyte-like cells to S. aureus further up-regulated both intracellular and cell surface MHC Class II expression. Demonstrative of antigen presenting cell functionality, S. aureus-exposed osteocytes induced autologous CD4+ T cell proliferation. Furthermore, MHC Class II expression in osteocytes was detected in bone sampled from patients with periprosthetic joint infections, providing evidence that these mechanisms operate in vivo. Together, our findings reveal that human osteocytes are capable of inducible MHC Class II-associated antigen presentation in response to bacterial challenge, pointing to a novel role for osteocytes in adaptive immune surveillance within bone.

immunology

A patient-derived LMX1B variant causes tissue-specific manifestations of nail-patella syndrome in mice

Nail-patella syndrome (NPS) is a multisystem disorder caused by pathogenic variants in LMX1B and is characterized by dysplasia of the nails and patellae as well as extraskeletal complications such as progressive nephropathy and glaucoma. We generated a CRISPR/Cas9 knock-in mouse carrying the R252Q substitution, corresponding to a human LMX1B variant associated with renal-predominant disease. Phenotypic analysis revealed that homozygous mice were viable, but they displayed marked growth retardation and severe bilateral ocular opacity. Interestingly, while this model exhibited clear skeletal and ocular defects, the renal phenotype was relatively mild, although increased urinary albumin excretion, focal glomerular basement membrane abnormalities, and subtle changes in renal gene expression were detected. Beyond the classical NPS hallmarks, mutant mice also displayed midbrain morphological abnormalities, suggesting broader developmental consequences of this LMX1B variant. This patient-derived variant model not only recapitulates the pleiotropic features of NPS but also demonstrates organ-specific susceptibility to the R252Q substitution, providing a foundation for elucidating the complex molecular mechanisms underlying multisystem disease.

genetics

Bacterial Peptidoglycan Extends Lifespan by Activating Lysosomal Activity through V-ATPase Binding

Lysosomal dysfunction is a hallmark of aging, yet whether microbial components actively regulate this organelle to influence longevity remains unknown. Here, we identify bacterial peptidoglycan (PGN), a major cell wall component degraded by host lysozyme, as an evolutionarily conserved activator of lysosomal function that extends lifespan in both C. elegans and mice. We show that aging leads to an intestinal decline in lysozyme expression, which impairs bacterial cell-wall digestion and results in systemic PGN deficiency. Late-life PGN supplementation (starting at 18 months of age) significantly prolongs mouse lifespan and improves healthspan. Mechanistically, PGN localizes to lysosomes and directly binds V-ATPase subunits, enhancing ATP hydrolysis activity and promoting lysosomal acidification. This effect is abolished by V-ATPase inhibition (bafilomycin A1) or genetic disruption of lysosomal components (cup-5 and vha-12 mutants), confirming that functional V-ATPase is strictly required for lysosomal function and the longevity benefit. Importantly, PGN restores lysosomal acidification in aged cells, alleviates cellular senescence markers, and improves multiple hallmarks of aging including locomotion and muscle integrity. Collectively, these findings reveal an evolutionarily conserved mechanism whereby hosts exploit bacterial cell wall components to maintain cellular homeostasis, establishing a gut microbiome-lysosome-longevity axis with implications for microbiome-based anti-aging interventions.

physiology

Transcriptomic profile of a rat jaw opener (anterior digastric) and a jaw closer (superficial masseter).

Mammalian skeletal muscle research predominantly focuses on locomotor muscles, and feeding related muscles remain less extensively characterized despite their role in mastication, mandibular stabilization, and swallowing. In this study, we investigated the transcriptomic specialization of three functionally and developmentally unique rat muscles: the anterior digastric (AD), a jaw opening muscle; the superficial masseter (SM), a jaw closing muscle; and the Sternohyoid (SH), a non-mandibular muscle involved in swallowing. Differential gene expression and weighted gene co-expression network analysis were used to characterize the transcription level features associated with their distinct roles. Our results indicated that all three muscles predominantly expressed fast-twitch contractile isoforms. However, the AD showed lower overall expression of several contractile gene families, including myosin heavy chain, myosin light chain, and tropomyosin isoforms, while exhibiting elevated expression of slow/oxidative myosin isoforms like Myh7 and Myh2. Network analysis revealed that modules correlated with AD are strongly enriched for fatty acid catabolism, mitochondrial energy production, and vascular/extracellular matrix remodeling. Additionally, AD and SM shared a distinct gene set compared to SH, highlighting their common developmental origin from the first branchial arch. Our findings show that the rat feeding related muscles possess unique transcriptomic profiles shaped by their contractile functions, developmental origins, and metabolic functions.

bioinformatics

Redundant information across functionally coupled cortical networks supports rapid perceptual decisions in the ferret

Coordinated activity across cortical areas transforms sensory inputs into perceptual decisions, yet how task-relevant information is distributed across sites and linked to functional interactions and behavior remains unclear. Conventional functional connectivity measures reveal statistical dependencies between neural signals but cannot distinguish information encoded uniquely at individual sites, shared redundantly across sites, or available only from their joint activity. Here, we used Partial Information Decomposition (PID) to characterize stimulus information during fast and slow correct decisions. We analyzed local field potentials (LFPs) extracted from mesoscale electrocorticographic recordings from auditory, visual, and parietal cortices in ferrets performing a visual and audiovisual spatial-detection task. Time- and frequency-resolved analyses of local field potential power and phase showed that stimulus-side information was strongest in the theta and alpha bands and greater during fast than slow responses. PID applied to pairs of recording sites revealed that fast responses were associated with earlier and stronger unique information and a greater relative contribution of redundancy, whereas synergistic contributions were smaller. During fast responses, redundancy was selectively associated with stronger LFP power-envelope coupling. These findings indicate that faster perceptual decisions involve a frequency-specific reorganization of cortical information, characterized by early local encoding and enhanced redundant information across functionally interacting sites.

neuroscience

A patient-centric therapeutic paradigm uncouples prostate cancer suppression from systemic metabolic collapse

The clinical benefits of cancer therapies are often compromised by the tolerable adverse effects that impair systemic organismal health and may evolve into latent life threats. Here, we identified profound abiraterone-induced but androgen-independent metabolic perturbations in prostate cancer patients and developed Lifehug-9892 to balance tumor therapy with systemic metabolic homeostasis. By integrating population cohorts with high-resolution metabolomics, we demonstrate that abiraterone induces profound systemic lipidomic dysregulation, characterized by the massive, pathological accumulation of desmosterol. Abiraterone inhibits but stabilizes DHCR24, leading to a metabolic trap in patients showing elevated levels of both desmosterol and cholesterol. Desmosterol accumulation is highly lipotoxic, potently triggering endothelial cell senescence and necrosis, macrophage foam cell formation, murine atherosclerosis, and hepatic senescence. To mechanistically uncouple and therapeutically rescue this systemic metabolic collapse, Lifehug-9892 was rationally designed to selectively retain on-target CYP17A1 inhibition while completely sparing DHCR24 function. Lifehug-9892 maintains potent tumor-suppressive activity while fully preserving the desmosterol-cholesterol metabolic axis and preventing systemic cardiovascular and hepatic damage. Our study uncovers a critical mechanistic link between drug-induced metabolic dysregulation and organismal health in cancer patients, providing a biochemical framework for developing patient-centric targeted therapies that preserve host homeostasis.

cancer biology

Glutaminase contributes to MYC-induced cell-autonomous autophagy and to RasV12-dependent non-autonomous autophagy in the Drosophila wing disc epithelium

MYC-driven metabolic reprogramming supports rapid cell growth but also creates metabolic demands that require adaptive mechanisms to maintain cellular homeostasis. Here, combining clonal analysis in Drosophila wing imaginal discs with studies in Schneider S2 cells, we identify glutamine metabolism as a component of Myc-induced autophagy. Myc increased the expression of genes involved in glutamine utilization, including glutaminase (GLS), and enhanced ammonia production, a metabolic by-product of glutaminolysis. Genetic depletion of GLS in clones suppressed the accumulation of Myc-induced Atg8a-positive structures and reduced autophagic flux, demonstrating that glutaminase contributes to the autophagic response elicited by Myc. Exogenous NHCl was sufficient to induce Atg8a-positive structures and partially restored their accumulation following GLS depletion, supporting ammonia as a downstream contributor to this response. Mechanistically, Myc-induced autophagy in clones required the core autophagy factor Atg5 but was not suppressed by depletion of Rheb or Atg1, consistent with an autophagic program that can operate independently of canonical TOR-Atg1 signaling. We further found that Myc activity is required for RasV12-driven epithelial overgrowth and that RasV12 cells induce a pronounced non-cell-autonomous accumulation of Atg8a-positive structures in wild-type cells surrounding RasV12 clones. Depletion of either Myc or GLS in RasV12 cells strongly reduced this neighboring autophagic response, linking Myc-dependent glutamine metabolism in transformed cells to autophagy in the surrounding tissue. Together, our findings identify GLS-dependent glutamine metabolism as a previously unrecognized component of Myc-induced autophagy and extend this relationship to Ras-transformed epithelia, where Myc and Gls contribute to non-cell-autonomous autophagic responses in neighboring cells.

cell biology

Ex vivo glioblastoma migration phenotypes define clinical recurrence and tumor heterogeneity

Glioblastoma's pronounced migratory capacity underlies its diffuse invasion, presenting a formidable barrier to successful treatment. Ex vivo characterization of glioblastoma cells isolated from freshly resected clinical samples under physiologically relevant conditions revealed two distinct migratory phenotypes, Fast Migrating (FM) and Slow Migrating (SM). These phenotypes reflect distinct mechanosensitivity profiles and are associated with pharmacological responses that support the motor clutch model of cell migration. Analysis of genes associated with these phenotypes revealed a transcriptomic signature that closely associated with in vitro cell migration, histological invasion in patient specimens, and clinical survival. Single-nucleus RNA sequencing revealed that FM and SM cells coexist within a single glioblastoma, with FM cells enriched at the periphery and SM cells localized to the tumor core. Collectively, our study demonstrates the utility of ex vivo glioblastoma characterization, allowing decoding of tumor heterogeneity and clinical prognostication as well as providing a framework for deconvoluting the complex cancer phenotype.

cancer biology

Wildlife disease surveillance under uncertainty: an adaptive search-theoretic framework for early detection of transboundary animal diseases

Rapid detection is critical for successful management of transboundary animal disease incursions in wild host populations. However, decisions about how best to allocate wildlife disease surveillance effort must be made under high uncertainty. Risk-based surveillance can improve efficiency but approaches that focus surveillance too narrowly on expected high risk areas could have low power to detect unexpected events. We developed and field-tested an adaptive, search-theoretic surveillance framework for detecting transboundary animal disease incursions in wild ungulates in New South Wales, Australia. Key principles that guided the frameworks development included accommodating uncertainty, regularly updating search priorities based on expected risk and spatial coverage, and a flexible structure that allows the system to respond to changing information or conditions over time. We created a coarse state-wide risk map that served as a weakly informative prior describing expected variability in disease incursion risk, loosely focused on foot and mouth disease virus (FMDv). Risk and search values were updated every three months based on realised surveillance effort and estimated detection probabilities over the preceding 12 months, meaning that areas of persistently high risk could nonetheless have low search value if they had recently been intensively searched. Surveillance activities collected blood and swab samples from 1,964 wild pigs (Sus scrofa) during 110 sampling occasions over a two-year evaluation and refinement period. Activities sought to simulate FMDv surveillance operations, but FMDv serological tests were not available at the time. Effort was consistently concentrated in areas of high search value, with at least 74% of sampled cells in the highest risk class. Estimated surveillance system sensitivity ranged from 0.86 to 0.93 over five successive updating cycles and increased as operational procedures were refined. Although the surveillance program was based on FMDv incursion risk, it also fulfilled its secondary objective of detecting unexpected events, including detecting Japanese encephalitis virus in wild pigs before detections in humans and domestic animals. By combining risk-based surveillance with adaptive updating of search priorities in a modular structure, the framework provided a flexible and generalisable approach for early detection of transboundary and emerging animal disease incursions in wildlife populations under high uncertainty.

zoology

Embedding wear assessment in musculoskeletal simulation: A proof-of-concept application to total hip arthroplasty

Predicting wear in artificial joints requires integrating joint dynamics, contact mechanics and progressive surface evolution, yet these processes are often treated separately. In total hip arthroplasty (THA), finite-element approaches remain the reference standard, but they are computationally demanding and usually rely on boundary conditions from independent musculoskeletal (MSK) models, hindering consistent coupling and feedback between wear progression and movement dynamics. As a single-subject proof of concept, we present a computational framework that embeds wear estimation within forward MSK simulations through OpenSim-MATLAB integration. Contact variables are computed using an elastic-foundation formulation, and wear is updated through the Archard law, enabling cyclic prediction of contact mechanics and surface evolution within a single workflow at practical computational cost. The framework was evaluated in one subject with right THA during five activities of daily living and numerically benchmarked against finite-element simulations. A long-term walking analysis of 4 million cycles was also performed to assess geometry updating. Across tasks, peak contact pressures remained within 7% of finite-element predictions. Linear wear depth and volumetric loss showed maximum deviations of 16% and 13%, respectively. Accounting for progressive geometry changes yielded a maximum wear depth about 31% lower than linear extrapolation. These preliminary results support the framework's computational feasibility and numerical consistency for the tested case; nevertheless, multi-subject evaluation is required before broader predictive or clinical use.

bioengineering

An agent-based 3D model of non-genetic adaptation in cancer tissues under electrical, mechanical, and hypoxic stress

Non-genetic adaptation enables cancer cells to alter their phenotype under stress without requiring new mutations. However, the mechanisms by which electrical, mechanical, and hypoxic cues combine to shape this process in 3D tissues remain poorly understood. This work presents an agent-based tumor model that integrates vascular oxygen supply, a globally imposed electric field, mechanically mediated crowding and compression cues, phenotype transitions, cell growth, mitosis, death, and inheritance of adaptive memory across division. The simulated tumors exhibit a three-stage trajectory consisting of necrosis onset, transient collapse of live mass, and partial regrowth accompanied by progressive accumulation of adapted cells. Continuous electrical stimulation produces a dose-dependent reduction in live mass while markedly increasing the adapted fraction, with comparatively limited changes in final necrotic burden. This response is strongly conditioned by mechanics and reshapes (and is reshaped by) adaptive capacity. Pulsed stimulation further shows that, in the model, electric field amplitude and temporal schedule jointly determine memory phenomena, phenotypic diversification, and growth recovery. These results show that coupling local oxygen availability, mechanical constraints, electrical forcing, and history-dependent phenotype transitions can generate distinct tissue-level patterns of phenotypic heterogeneity. Both stimulus magnitude and temporal protocol influenced the resulting population structure, suggesting that the history of physical stress may be an important determinant of adaptive dynamics in spatially organized tumor models.

biophysics
Compare source metadata on this page
WorkPublishedSource identifierSource
Interactive downstream proteomics analysis with MiraProt using Mueller cell proteomes from equine recurrent uveitis2026-09-0210.64898/2026.08.27.747296v1biorxiv
Personalized phosphoproteomics establish mTORC1 as a regulator of exercise-induced insulin sensitization in human skeletal muscle2026-09-0210.64898/2026.08.27.747624v1biorxiv
High-Resolution Subtyping of Pediatric Low-Grade Glioma Using an Integrated Meta-Clustering Framework2026-09-0210.64898/2026.08.27.747680v1biorxiv
The mitochondrial RNA extrusion-induced innate immunity is regulated by N6-methyladenosine machinery2026-09-0210.64898/2026.08.27.747681v1biorxiv
Genetic Disruption at the CIP2A Locus Modulates T Cell Responses and Attenuates Experimental Autoimmune Encephalomyelitis2026-09-0210.64898/2026.08.28.746989v1biorxiv
Lipid-ASO therapeutics exhibit differential tissue targeted delivery upon systemic or local CNS administration2026-09-0210.64898/2026.08.28.747711v1biorxiv
A mouse-adapted Staphylococcus aureus strain enables lifelong neonatal colonization and elicits a Th17-dominated immune response2026-09-0210.64898/2026.08.28.747726v1biorxiv
Human Osteocytes Express MHC ClassII and Act as Non-classical Antigen-Presenting Cells During Bacterial Infection2026-09-0210.64898/2026.08.28.747728v1biorxiv
A patient-derived LMX1B variant causes tissue-specific manifestations of nail-patella syndrome in mice2026-09-0210.64898/2026.08.28.747744v1biorxiv
Bacterial Peptidoglycan Extends Lifespan by Activating Lysosomal Activity through V-ATPase Binding2026-09-0210.64898/2026.08.28.747948v1biorxiv
Transcriptomic profile of a rat jaw opener (anterior digastric) and a jaw closer (superficial masseter).2026-09-0210.64898/2026.08.28.747950v1biorxiv
Redundant information across functionally coupled cortical networks supports rapid perceptual decisions in the ferret2026-09-0210.64898/2026.08.30.748127v1biorxiv
A patient-centric therapeutic paradigm uncouples prostate cancer suppression from systemic metabolic collapse2026-09-0210.64898/2026.08.30.748180v1biorxiv
Glutaminase contributes to MYC-induced cell-autonomous autophagy and to RasV12-dependent non-autonomous autophagy in the Drosophila wing disc epithelium2026-09-0210.64898/2026.08.31.748041v1biorxiv
Ex vivo glioblastoma migration phenotypes define clinical recurrence and tumor heterogeneity2026-09-0210.64898/2026.08.31.748107v1biorxiv
Wildlife disease surveillance under uncertainty: an adaptive search-theoretic framework for early detection of transboundary animal diseases2026-09-0210.64898/2026.08.31.748179v1biorxiv
Embedding wear assessment in musculoskeletal simulation: A proof-of-concept application to total hip arthroplasty2026-09-0210.64898/2026.08.31.748225v1biorxiv
An agent-based 3D model of non-genetic adaptation in cancer tissues under electrical, mechanical, and hypoxic stress2026-09-0210.64898/2026.08.31.748266v1biorxiv

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