Biology subjects

Vyas, J.

Publications and source records attributed to Vyas, J..

4 recordsLinked to original sources

bioRxiv2026

An innate immune circuit involving the lectin pathway, complement and lung epithelial cells enforce barrier immunity to inhaled fungal disease

The lung mucosal barrier thwarts many inhaled pathogens, including Coccidioides, the causative agent of Valley Fever. Because the earliest stages of pathogen recognition in the lung remain obscure, we investigated the initial events of barrier immunity in a murine model involving inhalation of Coccidioides sp. arthroconidia. Neutrophils accumulated rapidly, within 24 hours, near fungal spores in the bronchiolar airways. This response was driven by pattern recognition via the lectin complement pathway. Bronchiolar club cells propagated C3a signals and amplified the response via convergent C3aR and P2X7 signaling. We identified several MBL2 and P2RX7 polymorphisms that correlated with progressive disease in humans. Our assays revealed that these mutations caused functional impairments in C3a generation and P2X7 responsiveness. Our findings establish how complement signaling and epithelial sensing coordinate early immune responses to fungal infection, offering insights into essential host defense mechanisms and risk factors for disease progression in coccidioidomycosis.

microbiology↗

bioRxiv2026

Explainable machine learning reveals an RBP regulatory logic of exon skipping

RNA binding proteins (RBPs) regulate the life cycle of an mRNA, often through RBP-RNA interactions. This life cycle includes splicing, whereby the intronic sequence of a pre-mRNA is removed and the exons are joined together. However, the patterns of RBP binding that lead to different splicing outcomes are still incompletely understood. Here, we build machine learning models from RBP-RNA binding and knockdown RNA-seq data for over 168 RBPs in two cell lines (HepG2 and K562) to better understand the binding patterns that predict exon skipping, the predominant form of alternative splicing in humans. We show that models trained exclusively on RBP binding patterns are indeed predictive and that a more sophisticated machine learning model (XGBoost) outperforms simpler linear models. In addition, we are able to extract a biologically interpretable logic embedded in these models. We show that SHAP, a machine learning explainability technique, captures activating and repressive behavior of RBP binding that is position-specific. In addition, we find that SHAP values are predictive of changes in unseen splicing events and that SHAP interactions between pairs of RBPs are predictive of protein-protein interactions. Our results demonstrate that using machine learning with interpretability techniques can reveal a regulatory logic of RBP binding. By estimating the impact of an RBP binding site on a splicing event, the SHAP values also provide a directly testable scientific hypothesis. We anticipate that models designed around biological processes and focused on interpretability will yield actionable biological insights both in splicing and genomics generally.

systems biology↗

bioRxiv2025

Extracellular vesicles from diverse fungal pathogens induce species-specific and endocytosis-dependent immunomodulation

Microbial pathogens generate extracellular vesicles (EVs) for intercellular communication and quorum sensing. Microbial EVs also induce inflammatory pathways within host innate immune cells. We previously demonstrated that EVs secreted by Candida albicans trigger type I interferon signaling in host cells specifically via the cGAS-STING innate immune signaling pathway. Here, we show that despite sharing similar properties of morphology and internal DNA content, the interactions between EVs and the innate immune system differ according to the parental fungal species. EVs secreted by C. albicans, Saccharomyces cerevisiae, Cryptococcus neoformans, and Aspergillus fumigatus are endocytosed at different rates by murine macrophages triggering varied cytokine responses, innate immune signaling, and subsequent immune cell recruitment. Notably, cell wall constituents that decorate C. neoformans and A. fumigatus EVs inhibit efficient internalization by macrophages and dampen innate immune activation. Our data uncover the transcriptional and functional consequences of the internalization of diverse fungal EVs by immune cells and reveal novel insights into the early innate immune response to distinct clinically significant fungal pathogens.

microbiology↗

bioRxiv2019

Club cell TRPV4 as a damage sensor driving lung allergic inflammation

Airway epithelium is the first body surface to contact inhaled irritants and report danger. We studied how epithelial cells recognize and respond to protease, which is a critical component of many allergens that provoke asthma. In a murine model, the aeroallergen alkaline protease 1 (Alp1) of Aspergillus sp. elicited helper T (Th) cell-dependent lung eosinophilia. Bronchiolar club cells responded rapidly to Alp1 by coordinating the accumulation of allergic immune cells in the lung. Alp1 degraded bronchiolar cell junctions, and club cells within the bronchioles propagated this signal via calcium and calcineurin to incite inflammation. In two human cohorts, we linked fungal sensitization and asthma with SNP/protein expression of the mechanosensitive calcium channel, TRPV4. TRPV4 was also necessary and sufficient for club cells to sensitize mice to Alp1. Thus, club cells detect junction damage as mechanical stress, which signals danger via TRPV4, calcium and calcineurin to initiate Th cell sensitization.\n\nGraphical Abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=87 SRC=\"FIGDIR/small/773382v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (24K):\norg.highwire.dtl.DTLVardef@c03f95org.highwire.dtl.DTLVardef@18e54b6org.highwire.dtl.DTLVardef@15ba395org.highwire.dtl.DTLVardef@1509e5c_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗