Biology subjects

Yang, Y.

Publications and source records attributed to Yang, Y..

At least 235 records · Page 13Linked to original sources

bioRxiv2026

Harnessing Tumor-Specific Transcript Diversity Uncovers a Shared Neoantigen Reservoir for Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is refractory to immunotherapy due to its immunologically cold microenvironment and the scarcity of mutation-derived neoantigens. Here, we introduce NeoAPP, a computational tool designed to systematically decode neoantigens arising from tumor-specific transcripts (TSTs) generated by transcriptional dysregulation. Multi-cohort transcriptomic profiling of 413 PDAC samples using NeoAPP reveal a median of 351 neoantigens per sample derived from 56 neoantigen-encoding TSTs (neoTSTs), surpassing mutation-derived counterparts in both abundance and patient coverage. Mechanistic analyses show that non-canonical splicing junction and transposable element activation drive neoantigen generation, while FOXA2-regulated promoter usage constitutes a potential major source of neoTSTs. Tumor-derived neoTSTs are also detected in extracellular vesicles and cancer-associated fibroblasts, implicating stromal crosstalk in immune modulation. Vaccination with neoTSTs induce CD8+ T cell responses in HLA-A*02:01/A*11:01 transgenic mice and suppressed tumor growth in syngeneic PDAC models. Collectively, this work establishes TST-derived neoantigens as a dominant and therapeutically actionable antigen reservoir in PDAC, advancing a transcriptome-guided framework for neoantigen discovery with potential to overcome immune resistance in low-mutation cancers. Abstract Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/705024v1_ufig1.gif" ALT="Figure 1"> View larger version (71K): org.highwire.dtl.DTLVardef@82ff31org.highwire.dtl.DTLVardef@401342org.highwire.dtl.DTLVardef@b0771corg.highwire.dtl.DTLVardef@15c03ef_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2026

Functional Equivalence of Heat-Inactivated (HI) and Live Probiotic RSB11 in Suppressing Inflammation: Expanding Formulation and Application Potential

The clinical potential of probiotics has been widely recognized, but their translation into reliable therapeutic products has been hindered by major limitations such as undesirable immunogenic responses, the need to maintain viability, instability during storage and transport, and concerns regarding safety in vulnerable populations. Postbiotics, defined as inanimate microbial cells or their components with pro-health activities, overcome many of these limitations by offering enhanced stability, reproducibility, and safety. However, it is very vital to understand if the heat inactivation (conversion of a probiotic to its postbiotic inert form) compromise its functional efficacy. Here, we systematically compared a novel probiotic-derived candidate, Lactiplantibacillus plantarum RSB11 strain, in its live (RSB11 Life, probiotic) and heat-inactivated (RSB11-HI, postbiotic) forms across multiple human epithelial and non-epithelial models relevant to inflammation driven pathologies. To investigate the gut-tissue(s)-axis concept we used gut (Caco-2), lung (HBE), ovary (BG1), bone (osteoblasts, MG-63), kidney (A-498) and liver (HepG2) cells exposed to E-coli or lipopolysaccharide (LPS), and quantified matrix metalloproteinase-9 (MMP-9), an inflammatory mediator, by qPCR and pro-inflammatory cytokines such as tumor necrosis factor- (TNF-), IL-6, and IL-1{beta} by ELISA. In addition, we assessed {beta}-glucuronidase activity and estrogen modulation to explore gut-ovarian axis signaling. Across all models, both RSB11 Life and RSB11-HI robustly suppressed MMP-9, TNF-, IL-6 and IL-1{beta} induction, with equivalent magnitude of effect. The inactivated form retained full cytokine-suppressive capacity and, notably, enhanced {beta}-glucuronidase activity, suggesting additional benefits in microbiome hormone cross-talk. Our findings demonstrate that heat inactivation does not compromise, and may even expand, the functional range of RSB11. By maintaining bioactivity while eliminating the drawbacks of live biotics, heat inactivated RSB11 emerges as a robust, scalable, and versatile postbiotic with potential applications in systemic inflammatory disorders. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/705228v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@7bb1e6org.highwire.dtl.DTLVardef@dc86c7org.highwire.dtl.DTLVardef@147448org.highwire.dtl.DTLVardef@de5232_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical abstract of RSB11-HI activityHeat-inactivated postbiotic RSB11-HI retains the anti-inflammatory efficacy of its live counterpart (RSB11Life) across diverse organ-relevant cell models. Upon LPS or E-coli stimulation, epithelial, immune, and tissue-specific cells (gut, lung, ovary, bone, kidney, liver) upregulate pro-inflammatory mediators including MMP-9, TNF-, IL-6, and IL-1{beta}. Both RSB11Life and RSB11-HI effectively suppress these inflammatory responses, with RSB11-HI exhibiting more consistent and robust reductions of inflammatory markers across models. Additionally, RSB11-HI uniquely enhances {beta}-glucuronidase activity, facilitating estrogen metabolism and signaling through the gut-ovary axis. Together, these findings highlight RSB11-HI as a stable, safe, and multifunctional postbiotic candidate suitable for therapeutic formulation. Image was designed using ChatGPT.

immunology↗

bioRxiv2026

Antibody-Dependent Heterotypic Syncytia Drive COVID-19 Inflammation and Disease Progression

Severe COVID-19 is characterized by profound immune dysregulation and excessive inflammation. Aberrant myeloid responses drive hyperinflammation, yet the precise mechanisms remain elusive. Here, we demonstrate that certain spike antibodies promote the formation of heterotypic syncytia between monocytes/macrophages and virus-infected pneumocytes, leading to excessive inflammatory cytokine release. This antibody-dependent syncytium formation requires Fc{gamma}RI (CD64) and ADAM10, as well as the assembly of the six-helix bundle by the spike S2 subunit. Notably, these syncytia exhibit a stronger proinflammatory signature compared to virus-infected epithelial cells. In vivo, sub-neutralizing antibody concentrations amplified inflammation and exacerbated disease in SARS-CoV-2-infected mice without increasing viral burden. Furthermore, scRNA-seq of postmortem lung tissues from COVID-19 patients implicated the monocyte/macrophage-derived syncytia as a key cellular source of inflammatory cytokines. Together, these findings define a novel mechanism of antibody-dependent enhancement of inflammation that helps explain the hyperinflammatory responses in severe COVID-19 and suggest new therapeutic opportunities targeting this pathway.

immunology↗

bioRxiv2026

Lmna deficiency promotes EPHX2 nuclear translocation to ameliorate cardiac dysfunction in mice

BackgroundCardiovascular diseases are often associated with altered protein subcellular localization. As a major cause of inherited cardiomyopathy, LMNA deficiency could trigger nuclear envelope rupture and broadly impair the localization of nuclear and cytoplasmic proteins. Systemic approaches to identify, dissect and manipulate the localization of endogenous proteins are important for mechanistic and therapeutic investigation. MethodProximity proteomics of the nuclear lamina was performed specifically in cardiomyocytes in Lmna-deficient murine models. AAV-mediated Cas9-based gene silencing and subcellular gene upregulation were conducted via the nuclear localization signal (NLS) and nuclear export signal (NES). Cas9-based somatic mutagenesis was supplemented with the single-strand DNA templates of AAV to achieve robust homology-directed repair (HDR) and targeted NLS knock-in, which translocated cytoplasmic proteins into nuclei. ResultIn vivo proximity proteomics detected increased epoxide hydrolase 2 (EPHX2) in cardiomyocyte nuclei in mice carrying germline or cardiac-specific Lmna truncating variants. This phenotype was associated with ruptured nuclear envelope. Cas9-mediated Ephx2 knockout in cardiomyocytes ameliorated cardiac dysfunction in Lmna-deficient mice. Strikingly, overexpression of NLS-EPHX2, but not NES-EPHX2, also mitigated cardiac dysfunction. The cardiac protective EPHX2 substrates, epoxyeicosatrienoic acids (EETs), did not alter upon NLS-EPHX2 overexpression. By contrast, the Lmna-related DNA damage marker {gamma}-H2AX was reduced. The EPHX-D333A mutant lacking hydrolase activity recapitulated the effects of wildtype EPHX2 in nuclei. AAV-Cas9-based HDR achieved efficient NLS knock-in and EPHX2 nuclear translocation in more than 60% cardiomyocytes, which improved cardiac function. ConclusionLmna deficiency leads to the nuclear translocation of EPHX2, which ameliorated cardiac dysfunction in a hydrolase-independent manner. AAV-HDR-mediated somatic gene editing provides an efficient approach to manipulate the subcellular localization of endogenous proteins in cardiomyocytes in vivo. What is Known?O_LICardiovascular diseases are regulated by the changes in protein subcellular localization. In particular, LMNA-related cardiomyopathy is associated with nuclear rupture and impaired separation between nuclear and cytoplasmic proteins. C_LIO_LIEpoxide hydrolase 2 (EPHX2) is a cytoplasmic hydrolase that catalyzes the hydrolysis of cardioprotective epoxyeicosatrienoic acids (EETs) and aggravates an array of heart diseases including myocardial infarction and heart failure. C_LIO_LICRISPR/Cas9-mediated homology-directed repair (HDR) exhibits uniquely high gene editing efficiency in cardiomyocytes with an AAV-based DNA donor, which is suitable for somatic genetic knock-in of small DNA fragments in vivo. C_LI What New Information Does This Article Contribute?O_LILamin-targeted proximity proteomics specifically in cardiomyocytes uncovers novel proteins undergoing subcellular localization changes upon Lmna deficiency. C_LIO_LILmna deficiency leads to EPHX2 nuclear translocation that ameliorates cardiac dysfunction by both mechanisms of cytoplasmic reduction and nuclear induction. C_LIO_LIAAV-HDR-mediated knock-in provides a robust platform to manipulate subcellular localization of endogenous proteins specifically in cardiomyocytes in vivo. C_LI Cardiovascular diseases are often associated with altered protein subcellular localization, but systemic approaches to identify, study and manipulate subcellular localization remain incomplete. This study established an in vivo proximity proteomics approach to identify novel proteins undergoing localization changes relative to the nuclear lamina. In murine models of LMNA-related cardiomyopathy, this approach uncovered EPHX2, a classic cytoplasmic hydrolase that aggravates cardiovascular diseases, as a new protein that translocated into cell nucleus and exerted a cardiac protective effect. CRISPR/Cas9-based cardiomyocyte gene editing with an AAV-based DNA donor efficiently achieved NLS knock-in into the Ephx2 gene, promoted EPHX2 protein nuclear translocation and mitigated cardiac dysfunction with Lmna deficiency. These findings indicated a novel avenue to identify and manipulate the subcellular localization changes of endogenous proteins for basic and translational cardiology.

pathology↗

bioRxiv2026

Synergistic integration of inducible RNA switches enhances the manipulation of vector expression

Precise manipulation of gene expression is pivotal for gene function studies and the optimization of gene therapy. RNA-based gene switches are attractive tools due to their robust tunability by FDA-approved small molecules, the absence of exogenous immunogenic proteins, and the small size for gene delivery vectors such as adeno-associated virus (AAV). However, existing RNA switches only target a single step of gene expression such as transcription or RNA splicing, exhibiting intrinsic limitations in gene regulation. To overcome this issue, this study integrated the aptamer-based polyA regulator (pA), the drug-elicitable alternative splicing module (DreAM) and an engineered translation modulator with conditional upstream open reading frames (uORFs) to construct the DreAM-plus RNA switch. The pA-DreAM concatenation led to 1.5[~]5.0-fold and 1.2[~]4.4-fold increase of inducible fold changes than pA and DreAM, respectively. The uORF module further enhanced the switching performance by 1.4[~]6.3-fold. DreAM-plus-mediated transient transgene expression demonstrated a temporal resolution of about 24 hours and high tissue specificity to liver or heart. Critically, DreAM-plus achieved transient expression of an array of gene editors (SpCas9, SaCas9, Un1Cas12f1, OsCas12f1, AcCas12n, IsDra2 TnpB etc.) that significantly mitigated off-target effects by 1.4[~]2.8 folds in plasmids, lentivirus and AAV. In a new mouse model with lipid-nanoparticle-delivered pre-existing immunity, DreAM-plus attenuated AAV-delivered Cas-specific CD8 T cell immune toxicity in the liver and the heart. Therefore, multiple RNA switches could be synergistically integrated to build more sophisticated genetic cassettes for enhanced manipulation of gene expression.

bioengineering↗

bioRxiv2026

Comorbid HIV and Cocaine Use Exacerbate Accelerated Brain Aging

BackgroundHIV and cocaine use (CU) each relate to cognitive deficits and brain abnormalities, yet their combined impact on brain aging remains unclear. This study examined how comorbid HIV and CU relate to brain aging and cognitive impairment. MethodsWe trained a morphometry-based brain-age model using harmonized Human Connectome Project-Aging data (HCP-A; n=725) with Gaussian Process Regression. The model was applied to an independent cohort with varying HIV/CU burden (HIV-/CU-, n=34; one disorder [HIV+/CU- or HIV-/CU+], n=72; HIV+/CU+, n=80). Brain age gap (BAG; predicted minus chronological age) was examined in relation to comorbidity burden and neurocognitive impairment (NCI; NIH Toolbox), adjusting for age, sex, education, depression, and image-quality indices. Analyses on SHapley Additive exPlanation (SHAP) values characterized network-wise feature-level contributions to brain age estimates. ResultsA dose-dependent effect of comorbidity burden on BAG was observed, with the HIV+/CU+ group showing the highest BAG. Greater BAG was associated with increased likelihood of NCI, and BAG partially mediated the relationship between comorbidity burden and NCI, with a stronger mediation effect in the two-disorder group than in the one-disorder group. Structural contributors to elevated BAG in the HIV/CU cohort included cortical thickness in the visual, ventral attention, and frontoparietal networks, and sulcal depth in the sensorimotor network. ConclusionComorbid HIV/CU is linked to accelerated structural brain aging. BAG may reflect brain-level alterations underlying the association between comorbid HIV/CU and cognitive impairment, and may help identify network-specific targets for intervention.

neuroscience↗

bioRxiv2026

Molecular basis of enfumafungin inhibition and resistance in Candida glabrata β-1,3-Glucan synthase FKS1

{beta}-1,3-Glucan synthase FKS1 is essential for fungal cell wall biogenesis and serves as a validated target of widely prescribed antifungal drugs. However, the molecular mechanism of pathogenic FKS1, its modes of inhibition, and the associated resistance mechanisms remain elusive, hindering the antifungal development. Here, we focus on Candida glabrata FKS1, a clinically relevant target frequently linked to antifungal resistance. We present cryo-EM structures of C. glabrata FKS1 in multiple detergent environments and in complex with the triterpenoid antifungal enfumafungin. Integrated functional studies revealed a key catalytic residue within the conserved ED motif and uncovered structural adaptations to different membrane-mimetic environments, rationalizing FKS1s sensitivity to its surrounding membrane context. Enfumafungin binds at the extracellular membrane leaflet of cgFKS1 transmembrane domain, engaging a convex surface separated from the cytosolic active site, consistent with its role as a non-competitive inhibitor. Further analyses identified key enfumafungin-binding residues from TM5-TM6 and elucidated the molecular basis of drug resistance in C. glabrata. Collectively, these findings establish a mechanistic framework for pathogenic FKS1 function and inhibition and provide a molecular basis for the rational design of next-generation antifungal therapeutics.

microbiology↗

bioRxiv2026

Accurate somatic variant detection from formalin fixed, paraffin embedded tissue (FFPE) derived WES and WGS by DeepOmicsFFPE-PLUS, a sequence context-based transformer

Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixation-induced DNA damage and subsequent sequencing artifacts. To comprehensively characterize and address this challenge, we analyzed matched FFPE and fresh-frozen tumor samples from two institutions, spanning different storage durations, DNA qualities, sequencing platforms (WES and WGS), exome capture kits, and somatic variant callers. We found that FFPE-induced artifacts exhibit strong batch- and age-specific patterns, with a predominance of C:G>T:A substitutions, which particularly complicate the accurate identification of low allele frequency true variants. Enzymatic repair methods partially alleviated these artifacts but remained insufficient. To overcome these limitations, we developed DeepOmicsFFPE-PLUS(https://github.com/Theragen-Bio/DeepOmicsFFPE-PLUS), an advanced AI-based tool to accurately distinguish true somatic variants from FFPE-specific artifacts. DeepOmicsFFPE-PLUS demonstrated consistently superior performance across diverse conditions, achieving high sensitivity and specificity--even for low-frequency variants--outperforming existing tools. Application of our model to WGS data further enabled recovery of biologically relevant mutational signatures, including restoration of microsatellite instability (MSI)-associated signatures initially obscured by FFPE artifacts. Our findings underscore the necessity of artifact-aware variant calling in FFPE genomics and establish DeepOmicsFFPE-PLUS as a robust tool for artifact removal, enabling high-fidelity downstream analyses and personalized therapeutic target discovery.

cancer biology↗

bioRxiv2026

eScreen: a deep learning framework for functionally decoding the regulatory genome at single-nucleotide resolution

The human genome is densely populated with cis-regulatory elements (CREs), yet deciphering their functional regulatory syntax and combinational logic remains a fundamental challenge. Here, we integrate 379 genome-scale CRISPR screen experiments, encompassing 21 million perturbations across 23 cell types, to construct a compendium of 41,239 high-confidence functional CREs from 530,527 candidates. Leveraging this resource, we develop eScreen, a deep learning model built on the StripedHyena2 architecture to functionally decode the regulatory genome at single-nucleotide resolution. eScreen achieves three primary functions: (1) predicts genome-wide cell-type-specific CRE functional activity with high accuracy, outperforming existing models; (2) provides mechanistic interpretation of regulatory syntax at single-nucleotide resolution; (3) dissects the functional organization of enhancer clusters through in silico perturbation analysis. We perform multiple independent CRISPR knockout, CRISPR interference (CRISPRi), and base editing screens to validate these functions of eScreen both at scale and on individual cases. Furthermore, we provide an interactive web server (https://escreen.huanglabxmu.com/) for the community to access the integrated CRISPR screen resources and eScreen functions. Collectively, our work establishes a highly precise and convenient tool to decode the causal effects of the regulatory genome.

genomics↗

bioRxiv2026

On the sensitivity of qPCR diagnostics for the canola clubroot pathogen Plasmodiophora brassicae

Clubroot, caused by Plasmodiophora brassicae, is an important disease of canola and other Brassica crops. Polymerase chain reaction (PCR), particularly probe-based quantitative PCR (qPCR), is widely used for the detection of P. brassicae in soil samples. To improve consistency in clubroot detection while maintaining efficiency, diagnostic laboratories would benefit from adopting a single, highly efficient qPCR system for routine testing. In this study, we analyzed the primer and probe sequences of all published PCR and qPCR systems for P. brassicae detection. Based on these analyses, three independently developed probe-based qPCR systems were selected and their performance was evaluated using synthesized target DNA (gBlock). One probe-based qPCR system exhibiting superior sensitivity on gBlock was subsequently evaluated on P. brassicae genomic DNA. This system consistently detected DNA equivalent to four resting spores per reaction, corresponding to a soil sample containing 1,000 spores per g soil when the DNA extraction protocol was considered as a component of the qPCR system. The sensitivity of the system was further validated using DNA extracted from soil samples collected from multiple locations across Alberta, where P. brassicae was detected at levels below those associated with visible clubroot symptoms. Based on these results, we recommend this qPCR system for routine clubroot diagnostics in laboratories across Canada.

microbiology↗

bioRxiv2026

YAP disrupts bile acid homeostasis to drive cancer-associated cachexia

Cancer-associated cachexia is a severe metabolic syndrome marked by dramatic loss of adipose and muscle mass. Although preclinical models have advanced our understanding of cachexia, there are still no approved therapies due to the limited insights into the mechanisms underlying tissue wasting. Here, we utilise a YAP-driven model of liver cancer in zebrafish, which rapidly develops cachexia, to uncover an evolutionarily conserved role for bile acid disruption in the onset of cachexia. Spatial transcriptomic analysis revealed that YAP induces a bi-lineage cholangiocarcinoma phenotype, which was associated with bile acid dysregulation. Mechanistically, we establish that both bile acid synthesis (via CYP7A1) and signalling through the bile acid receptor TGR5 are essential for cachexia induction. Notably, we find that the promotion of bile acid excretion with odevixibat ameliorates cachexia. Together, our findings reveal an evolutionarily conserved mechanism by which YAP promotes cachexia and suggest a potential therapeutic strategy to treat the syndrome.

cancer biology↗

bioRxiv2026

Oxaloacetate damages mitochondria by perturbing MIC60-dependent membrane remodeling

Mitochondria catabolize nutrients by generating sequentially-ordered organic acid intermediates that are oxidized through the tricarboxylic acid cycle. Pathogenic accumulation of metabolic organic acids manifests as devastating organic acidemias/acidurias and other severe diseases, but the underlying mechanisms are largely unknown. Using unbiased C. elegans genetic screening, we here reveal that mutations in the phosphoenolpyruvate carboxykinases PCK-1 and PCK-2 cause buildup of oxaloacetate, a key tricarboxylic acid cycle intermediate, leading to severe mitochondrial damage. Depletion of mitochondrial GOT-2.1 or GOT-2.2, which catalyze oxaloacetate conversion to aspartate, also causes oxaloacetate accumulation and defective mitochondria with disrupted cristae. We demonstrate that oxaloacetate binds the MICOS complex subunit CHCH-3/MIC19 and inhibits its function of promoting IMMT-1/MIC60-dependent membrane shaping and remodeling. In mammalian cells, aberrant OAA buildup similarly causes mitochondrial impairment through MIC19 and MIC60. These findings not only provide important mechanistic insights into mitochondrial damage in the context of defective oxaloacetate metabolism, but also suggest therapeutic strategies for oxaloacetate-related mitochondriopathies.

cell biology↗

bioRxiv2026

A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells

Aging reshapes tissues through changes in cellular composition, coordinated transcriptional reprogramming, and loss of transcriptional coordination. Whereas the first two have been characterized across aging tissues, the third remains difficult to quantify. We introduce an unsupervised, first-principles framework for measuring transcriptional dyscoordination in single cells as deviation from a learned, predictable structure accounting for technical noise. Orthogonal validation links transcriptional dyscoordination to classical intrinsic noise and distinguishes it from coordinated change. In controlled perturbations, dyscoordination rises after genotoxic injury and senescence induction, then falls following senolytic depletion. Across mouse, rat, and human tissues, dyscoordination increases with chronological age, especially in regenerative compartments. In human T cells, dyscoordination increases with clonal expansion and effector function yet declines within persisting clones after checkpoint blockade. Cross-modal analyses further link dyscoordination to chromatin-based mitotic age and genome instability. These results identify loss of transcriptional coordination as a distinct and dynamic feature of cellular aging.

genomics↗

bioRxiv2026

Engaging Unstabilized Alkyl Radicals with Pyridoxal Radical Biocatalysis: Enantiodivergent Synthesis of Aliphatic Non-Canonical Amino Acids

Harnessing transient, unstabilized alkyl radical intermediates for the enantioselective construction of valueadded chemical entities remains a fundamental challenge in biocatalysis. Through the repurposing and directed evolution of pyridoxal phosphate (PLP)-dependent tryptophan synthases, we advanced an open-shell enzyme platform capable of intercepting transient alkyl radicals for the efficient and enantioselective synthesis of aliphatic non-canonical amino acids. Engineering an orthogonal pair of radical PLP enzymes allowed unstabilized alkyl radicals, generated from diverse aliphatic organoboronates, to undergo dehydroxylative C(sp3)-C(sp3) coupling with a common L-serine donor, affording either L- or D-amino acids with excellent enantiopurity in an enzyme-controlled fashion. Mechanistic and computational investigations employing radical clock substrates and unusual radical-mediated rearrangement processes revealed that the radical intermediates generated in this system exhibit unexpectedly long lifetimes, highlighting the power of this dual enzyme-photocatalyst platform to engage unactivated alkyl radicals. Collectively, these findings delineate a potentially general strategy for generating and utilizing unstabilized alkyl radicals and underscore the synthetic potential of radical pyridoxal biocatalysts for stereodivergent amino acid construction.

biochemistry↗

bioRxiv2026

TLR7 inhibition limits cardiac ischemic injury by disrupting ITGAM-dependent immune-endothelial interaction

Percutaneous coronary intervention (PCI) limits ischemic myocardial infarction but also triggers ischemia-reperfusion (I/R) injury in part driven by innate immune activation. Here, we identify Toll-like receptor 7 (TLR7), an endosomal sensor of single-stranded RNA, as a mediator of post-ischemic inflammation and myocardial damage. Pharmacological inhibition of TLR7 with enpatoran reduced myocardial inflammation and infarct size and improved cardiac function in a mouse model of I/R injury when administered before, during, or shortly after ischemia. Single-nucleus RNA sequencing revealed coordinated post-I/R expansion of myeloid cells and distinct inflammatory endothelial subsets enriched for leukocyte-interaction programs, with marked upregulation of Itgam in cardiac leukocytes and endothelial cells and in circulating monocytes. Circulating ITGAM+ monocytes were similarly increased in patients with ST-segment elevation myocardial infarction 24 hours after coronary stenting. Mechanistically, TLR7 activation induced Itgam expression in endothelial cells and leukocytes and promoted their adhesion via ITGAM-ICAM1 interaction under physiological shear stress, whereas ITGAM neutralization disrupted this interaction, reduced immune cell infiltration, and limited ischemic injury. These findings define a TLR7-ITGAM signaling axis as a key driver of endothelial-leukocyte crosstalk in myocardial I/R injury and support TLR7 inhibition as a promising therapeutic strategy to mitigate acute myocardial infarction.

immunology↗

bioRxiv2026

Optimizing broadly neutralizing antibodies via all-atom interaction modeling and pre-trained language models

Antibody optimization is a fundamental challenge, and the identification of antibody-antigen interactions is crucial in the optimization process. However, current methods cannot accurately predict antibody-antigen interactions, providing limited functional guidance to improve the time-consuming and costly traditional optimization techniques. Here, we present InterAb and InterAb-Opt, a unified computational framework that integrates all-atom modeling with antibody language models to predict antibody-antigen interactions and enable antibody optimization. Leveraging the proposed all-atom modeling approach, AtomInter, and pre-trained antibody language models, InterAb outperforms existing methods in predicting antibody specificity and antibody-antigen binding affinity. InterAb successfully identified influenza A virus-binding antibodies from an antibody library and accurately detected high-affinity antibodies in the AIntibody competition. Empowered by the robust functional insights from InterAb, InterAb-Opt was developed to optimize broadly neutralizing antibodies. For R1-32 antibody, biolayer interferometry results reveal that 85%, 80%, 90%, and 67.5% of the 40 InterAb-Opt-optimized antibodies exhibit enhanced binding affinities to wild-type SARS-CoV-2, Lambda, BQ.1.1, and EG.5.1, respectively, with a maximum improvement of up to 96-fold. For the newly emerging BA.2.86 and KP.3, 55% and 52.5% of the optimized antibodies notably transition from non-binding to binding. Neutralization assays demonstrated that the optimized antibodies exhibited enhanced neutralization activity across multiple targets, highlighting the capability of InterAb-Opt in engineering broadly neutralizing antibodies. This technology enables precise analysis of antibody-antigen interactions and optimization of broadly neutralizing antibodies, holding promise for addressing challenges in immune evasion and vaccine design.

bioinformatics↗

bioRxiv2026

Spatial Decoding of Tertiary Lymphoid Structure Maturation in Non-Small Cell Lung Cancer Using Deep Neural Networks

Understanding the role of tertiary lymphoid structures (TLS) is crucial in non-small cell lung cancer (NSCLC), as they are associated with patient prognosis and treatment outcomes. Specific cellular ecosystems that originate anti-tumor activity or predict immunotherapy response remain poorly characterized. To this end, we developed a high-resolution, multimodal spatial atlas jointly profiling transcriptomics, proteomics, and histology to characterize TLS maturation in NSCLC alongside secondary lymph organs as a baseline. Using this atlas, we proposed a pathologist-in-the-loop framework that combines a variational graph autoencoder (VGAE) with diffusion pseudotime to refine human expert annotations and characterize TLS maturation. These spatial molecular representations were extended to H&E whole-slide images via a vision transformer-based foundation model. Next, we resolved cellular composition, spatial organization, and cell-cell interactions within these data and defined two divergent spatial ecosystems. Clinical evidence suggests that these ecosystems are associated with distinct patient outcomes: a mature germinal center niche with favorable prognoses, and a tumor-macrophage-fibroblast niche with unfavorable prognoses. In summary, our work decodes key components of TLS heterogeneity, identifies hallmark spatial patterns involved in NSCLC adaptive immunity, and provides a framework for translating spatial omics insights into clinical applications.

genomics↗

bioRxiv2026

eTRex Reveals Oncogenic Transcriptional Regulatory Programs Across Human Cancers

Transcriptional regulators (TRs) are essential proteins that regulate gene transcription, and their dysregulation defines the oncogenic transcriptional regulatory programs that drive tumor-specific gene expression. Existing pan-cancer resources summarize these programs by aggregating signals across individual datasets, neglecting the context-specific features that capture the diversity of transcriptional regulation underlying cancer heterogeneity. By developing a variational Bayesian hierarchical model named eTRex (epigenomics-based Transcriptional Regulator explorer) and applying it to 4,819 cancer-related ATAC-seq datasets, we provide a comprehensive pan-cancer atlas of functional TR profiles that preserve the context-specific features of each dataset. This study reveals both common regulators across diverse malignancies and those with highly specific roles. We extensively validated these findings using independent CRISPR/Cas9 screening, mutation, and transcriptomic datasets. Collectively, this pan-cancer atlas of functional TR profiles represents a comprehensive, biologically interpretable resource for uncovering transcriptional regulatory programs, identifying biomarkers, prioritizing therapeutic targets in oncology, and is freely accessible through an interactive web portal.

bioinformatics↗