Biology subjects

Wang, L.

Publications and source records attributed to Wang, L..

At least 181 records · Page 10Linked to original sources

bioRxiv2026

iCNG99: a validated genome-scale metabolic model of Cryptococcus neoformans strain H99

Cryptococcus neoformans is a ubiquitous environmental fungus that can also cause life-threatening infections in immunocompromised individuals. As a competent pathogen, Cryptococcus needs to reprogram its metabolism to adapt to the drastic differences between environmental niches and host niches. A well-curated genome-scale metabolic model (GEM) is a powerful tool to facilitate the investigation of the metabolic resilience of an organism. Here we reconstructed and validated iCNG99, a GEM for C. neoformans reference strain H99, and evaluated its predictive performance across 43 growth conditions and gene essentiality benchmarks. The model achieved high confidence essential gene prediction (precision = 0.77) and recapitulated pathways targeted by clinically available antifungals. Integration with transcriptomic and metabolomic data enabled iCNG99 to capture condition-specific metabolic adaptations and to identify candidate vulnerabilities in drug tolerance, revealing metabolic adaptations associated with survival within host conditions and drug susceptibility. Together, iCNG99 provides a systems-level computational platform for investigating C. neoformans metabolism and for prioritizing antifungal vulnerabilities.

systems biology↗

bioRxiv2026

Caspase-14 recognizes and processes IL-1β in epithelial cells to drive anti-bacterial IgG production

Caspases-mediated processing of cytokines coordinates cell-autonomous defenses and induction of systemic inflammation 1. While caspase-1 processes IL-1{beta} and IL-18 2-5, human caspase-4 processes IL-18 mainly in monocytes 6. Caspase-14 is an exception, specializing in epidermal differentiation7,8, yet no cytokine target has been firmly established for caspase-14. Here, we report that recognition and IL-1{beta} maturation of IL-1{beta} by caspase-14 in epithelial cells determined anti-bacterial humoral immunity against Yersina pseudotuberculosis (Y. pseudotuberculosis) infection. Upon TAK1 inhibition by YopJ, activated caspase-8 cleaved caspase-14 at Asp 146, generating an active 16-kDa fragment, whose exposed pocket directly interacted with and cleaves pro-IL-1{beta} at Cys132. Moreover, conditional knock-out of caspase-14 in epithelial cells or knock-in of a caspase-inactive caspase-14C136A mutant impaired Y. pseudotuberculosis induced IL-1{beta} production and eliminated the total anti-Y. pseudotuberculosis IgG production, leading to uncontrolled Y. pseudotuberculosis infection. Thus, our findings establish caspase-14 as a processor of IL-1{beta} in epithelial cells to propel anti-bacterial humoral immunity, providing insights into the inflammation and vaccine development.

immunology↗

bioRxiv2026

FXR and BET signaling orchestrate to protect β cells

In both type 1 and type 2 diabetes (T1D and T2D), insulin-producing {beta} cells undergo progressive dysfunction due to inflammation, leading to impaired glucose responsiveness, dedifferentiation, and cell loss. While bile acid (BA) dysregulation under diabetic conditions is known to influence metabolic and inflammatory pathways, its mechanistic role in {beta} cell regulation remains incompletely defined1-3. Here we show that bile acid sensor Farnesoid X receptor (FXR) and Bromodomain and Extra-Terminal motif (BET) signaling cooperatively regulates {beta} cell inflammatory response and {beta} cell identity. We identified the physiological protein-protein interaction between FXR and the bromodomain-containing protein 4 (BRD4) as a regulatory axis that protects against {beta} cell dysfunction. We show that FXR activation by Fexaramine (Fex) together with BRD4 inhibition by JQ1 synergistically suppressed IL-1{beta}-induced inflammation while also improving {beta} cell identity and insulin secretion in both db/db model and high-fat diet (HFD) plus multi low-dose streptozotocin (MLD-STZ) model of diabetes. Importantly, this cooperative effect is abolished in {beta} cell-specific FXR knockout ({beta}FXRKO) mice, establishing that FXR is required for the functional synergy between these pathways in vivo. Mechanistically, structure-guided modeling and mutational analyses identified a direct interaction between FXR and the BD2 domain of BRD4, depending on specific lysine acetylation sites. Additionally, inhibition of the BD2 domain of BET combined with FXR activation markedly improved {beta} cell survival in human T1D and T2D models established from human pluripotent stem cell (hPSC)-derived islet-like organoids (HILOs). Collectively, these findings establish a BA-bromodomain axis as a transcriptional interface linking metabolic signaling and chromatin regulation, and highlight FXR-BET targeting as a promising strategy to counter progressive {beta} cell failure in diabetes.

molecular biology↗

bioRxiv2026

Characterising retinal function with optomotor visual performance in P23H rodent models of retinitis pigmentosa

Rhodopsin (RHO) P23H is one of the most common mutations causing autosomal dominant retinitis pigmentosa (adRP), yet the relationship between retinal electrophysiology, structure and visually guided behaviour in rodent models remains unclear. We characterised changes in heterozygous P23H (Sakami line) mice and P23H line 3 (P23H-3) rats using full-field electroretinography (ERG), optomotor response (OMR) assays and, in rats, optical coherence tomography (OCT). ERG assessed rod- and cone-mediated responses relative to wild-type controls, whereas OMR under scotopic and photopic conditions quantified contrast sensitivity and visual acuity. In P23H mice, scotopic ERG responses were significantly reduced from postnatal day 16 and declined further from 4 months. Scotopic OMR contrast sensitivity remained largely preserved until 2 months, and photopic acuity was comparable to wild-type up to 6 months. In 13-week-old P23H-3 rats, ERG amplitudes were significantly reduced, and OCT revealed retinal thinning. OMR showed a decline in contrast sensitivity at 7 and 15 weeks, whereas photopic acuity was maintained. Thus, in both models, electrophysiological and structural abnormalities precede detectable OMR deficits, with implications for the selection of outcome measures in preclinical studies. Summary StatementThis study compares electrical and behavioural measures of vision in rodent models of inherited blindness, revealing that retinal dysfunction appears well before measurable vision loss.

animal behavior and cognition↗

bioRxiv2026

Dormant Bacteria's Fatal Attraction to RNA Bacteriophages

Phages are the most abundant biological entities on Earth, yet RNA phages are strikingly scarce compared to their DNA counterparts--a long-standing mystery in phage biology. Here, we use dsRNA phage phiYY as a model to demonstrate that while RNA phages efficiently infect growing bacteria, they are gradually eliminated inside dormant bacteria through weak and time-dependent ROS-mediated damage. The RNA phages decline over days rather than through immediate clearance inside dormant bacteria. Accordingly, scavenging ROS with mannitol or overexpressing ROS degradation enzymes AhpB/TrxB2 rescues RNA phages from elimination. Crucially, because the underlying ROS-mediated RNA damage is minimal, RNA phage survival hinges on genomic redundancy. In single-phage infections, the lone RNA genome is highly vulnerable to cumulative damage and is eventually inactivated. In contrast, during co-infection by multiple RNA phages, the presence of multiple genome copies provides functional redundancy, thereby allowing a fraction of RNA phages to survive inside dormant bacteria. Given that most environmental bacteria are dormant and subject to heterogeneous phage infection, this copy number-dependent vulnerability offers a possible explanation for the scarcity, but not perish, of RNA phages in nature.

microbiology↗

bioRxiv2026

Optimization of AAV tools to target M&uumlller glial cells for retinal gene therapy

Reprogramming of Muller glial (MG) cells into retinal neurons has the potential to treat vision loss by regenerating the retina. Development of efficient gene delivery systems to target the MG cells is critical. Adeno-associated virus (AAV) serotypes and promoter specificity are important factors that influence AAV transduction profile in the retina. However, studies that optimize these parameters to specifically target MG cells are limited, in particular in rats which are commonly used for eye research. Here we tested 4 AAV serotypes and 14 promoters to optimize gene delivery to human MG cells in vitro and/or rat MG cells in vivo. We showed that the combinatorial use of MG-specific serotypes and promoters achieved high specificity for MG cell targeting, with ShH10Y serotype and the GFAP (gfaABC1D) promoter as the best performing tool to target rat MG cells in vivo. We developed new AAV vectors using known and novel MG-specific promoters and engineered short promoter variants to improve the cargo capacity of AAV delivery. Our results highlighted a number of promoters that can target MG cells in vitro or in vivo. This study further expands the AAV toolbox to target MG cells, which has important implications for retinal gene therapy development.

bioengineering↗

bioRxiv2026

TFBindFormer:A Cross-Attention Transformer for Transcription Factor--DNA Binding Prediction

Transcription factors (TFs) are central regulators of gene expression, and their selective recognition of genomic DNA underlies various biological processes. Experimental profiling of TF-DNA interactions using chromatin immunoprecipitation followed by sequencing (ChIP-seq) provides high-resolution maps of in vivo TF-DNA binding but remains costly, labor-intensive, and inherently low-throughput, limiting their scalability across different transcription factors, cell types, and regulatory conditions. Computational modeling therefore plays an essential role in inferring TF-DNA interactions at genome scale. However, most existing computational models rely solely on DNA sequence and chromatin features to predict TF-DNA binding, neglecting TF-specific protein information. This omission limits their ability to capture protein-dependent binding specificity. Here, we present TFBindFormer, a hybrid cross-attention transformer that explicitly integrates genomic DNA features with TF-specific representations derived from protein sequences and structures. By modeling protein-conditioned, position-specific TF-DNA interactions, TFBindFormer enables direct learning of molecular determinants underlying DNA recognition. Evaluated across hundreds of cell-type-specific TFs and hundreds of millions of genome-wide DNA bins, TFBindFormer consistently outperforms DNA-only baselines, achieving substantial gains in both area under precision-recall curve (AUPRC) and area under receiver operating characteristic curve (AUROC). Together, these results demonstrate that integrating TF and DNA features via cross-attention enables TFBindFormer to serve as an effective and scalable framework for large-scale TF-DNA binding prediction.

bioinformatics↗

bioRxiv2026

Enteroviral epitope mimicry enables NK cell-mediated targeting of ASPH in hepatocellular carcinoma

Cancer development is shaped by host-microbe interactions, including viral infections. While several viruses are established oncogenic drivers, their potential protective roles in cancer remain unclear. Here we identify a dominant antibody response to CE1, a consensus epitope of enterovirus and rhinovirus, that is associated with reduced hepatocellular carcinoma (HCC) incidence and mortality. Anti-CE1 antibodies selectively recognize HCC cells and mediate anti-tumor activity through NK cell-mediated antibody-dependent cellular cytotoxicity (ADCC). Mechanistically, anti-CE1 antibodies cross-react with aspartate {beta}-hydroxylase (ASPH), with CE1-ASPH sequence homology underpinning tumor recognition and cytotoxicity. Clinically, ASPH is aberrantly upregulated in HCC and correlates with inferred NK cell-associated ADCC activity and improved survival in CE1-seropositive patients. Collectively, these findings reveal a mechanism by which antiviral humoral immunity confers cancer protection through molecular mimicry and highlight anti-CE1 immunity as a potential therapeutic strategy in HCC.

cancer biology↗

bioRxiv2026

Continental-scale multi-omics reveals a distinct microbial-viral biome in sandy beach ecosystems structured by tidal zonation

Sandy beaches are dynamic coastal interfaces shaped by strong physical forcing and intense exchange between marine and terrestrial environments, yet their microbiomes remain poorly resolved at the genomic scale. Here we present a genome-resolved survey of microbial and viral communities across sandy beaches spanning a continental-scale latitudinal gradient along the Chinese coastline. By integrating cross-shore sampling, coastal geochemistry and large-scale multi-omics, we generated 978 metagenomes, 63 viromes and 72 metatranscriptomes, reconstructing 13,337 metagenome-assembled genomes and 38,255 viral populations. Sandy beach microbiomes exhibit exceptionally high genomic novelty, with more than 90% of species-level genomes representing previously undescribed taxa, suggesting that permeable coastal sediments constitute a distinct microbial and viral reservoir. Tidal zonation emerged as a dominant ecological driver structuring microbial diversity, metabolic strategies and virus-host interactions across cross-shore gradients. Genome-resolved analyses revealed systematic metabolic shifts from oxic heterotrophy in supratidal sediments toward increasingly chemolithotrophic and autotrophic pathways toward the low-intertidal and subtidal zone. Sandy beach microbiomes further encode broad potential for hydrocarbon and plastic transformation, together with diverse biosynthetic and antibiotic resistance repertoires that may mediate microbial chemical interactions. Together, these findings identify sandy beaches as a previously under-recognized microbial-viral biome shaped by tidal forcing, providing insight into microbiome evolution and coastal ecosystem resilience under increasing anthropogenic pressure.

microbiology↗

bioRxiv2026

Transposable element disruption of a second thyroglobulin-like gene confers Vip3Aa resistance in Helicoverpa armigera

BackgroundThe cotton bollworm Helicoverpa armigera is a major global pest controlled by genetically engineered crops expressing Bacillus thuringiensis (Bt) toxins, including Vip3Aa. While Vip3Aa is widely deployed, the genetic basis of resistance remains poorly understood. Previous work identified disruption of a thyroglobulin-like gene (HaVipR1) as one mechanism of resistance, suggesting additional loci may be involved. ResultsUsing linkage analysis, transcriptomics, long-read sequencing, and CRISPR-Cas9 gene editing, we identify a second thyroglobulin-like gene, HaVipR2, as a novel mediator of Vip3Aa resistance. Resistance in a field-derived H. armigera line was shown to be monogenic, recessive, and autosomal, mapping to chromosome 29. Long-read sequencing revealed a [~]16 kb transposable element insertion disrupting HaVipR2, which was undetectable using standard short-read approaches. CRISPR-Cas9 knockout of HaVipR2 conferred >900-fold resistance, confirming its causal role. Comparative analyses show that HaVipR1 and HaVipR2 share conserved domain architecture, indicating that thyroglobulin-domain proteins represent a recurrent target of resistance evolution. ConclusionsOur findings establish thyroglobulin-domain proteins as a new class of Bt resistance genes in Lepidoptera and demonstrate that transposable element insertions can drive adaptive resistance while evading detection by conventional methods. These results highlight the importance of long-read sequencing and accurate genome annotation for resistance monitoring and provide new insights into the molecular basis and evolution of Vip3Aa resistance.

genomics↗

bioRxiv2026

Intrinsically disordered ligands for the control of receptor uptake by endocytosis

Endocytosis plays a crucial role in signaling, recycling, and degradation of receptors. Controlling endocytosis of specific receptors is therefore a major goal for both basic science and medicine. While antibody-induced dimerization can drive signaling-induced uptake of some receptors, the steric bulk of antibodies generally inhibits endocytosis, such that control over receptor uptake remains an unmet need. Recent work has demonstrated that attractive interactions between intrinsically disordered proteins drive inward membrane curvature, a key step in endocytosis. To harness this phenomenon for the control of receptor uptake, we designed chimeras that consisted of disordered domains fused to ligands for specific receptors. These chimeras condensed on membrane surfaces, driving receptor clustering and uptake via clathrin-mediated endocytosis. In contrast, chimeras that repelled one another resisted condensation, helping receptors escape endocytosis and remain on the cell surface. Taken together, these results suggest that by modulating the amino acid sequence of intrinsically disordered ligands, we can promote or hinder the internalization of specific receptors by endocytic pathways. More broadly, these findings suggest a generalizable strategy for controlling the plasma membrane lifetime of diverse receptors, opening up new pathways for modulating cellular behavior and delivering therapeutics. Significance StatementCells regulate signaling by continuously internalizing receptors from their surfaces using endocytosis. Controlling receptor internalization would provide new tools for addressing diverse diseases. While antibodies can cluster specific receptors on the cell surface, their steric bulk and rigidity inhibit endocytosis. In contrast, here we demonstrate that engineered ligands containing intrinsically disordered domains form flexible complexes that precisely control receptor internalization. Disordered ligands that attract one another condense receptors at sites of endocytosis, driving uptake, while repulsive disordered ligands prevent condensation such that receptors remain on the cell surface. By tuning the amino acid sequence of the disordered domain, a ligand can be switched from promoting to inhibiting receptor internalization, offering the opportunity to control cell signaling and therapeutic delivery.

biophysics↗

bioRxiv2026

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires orchestrating dozens of specialized tools in multi-step workflows, yet current AI agents struggle to maintain robust performance and consistently underperform in these high-complexity scenarios. Here we present MolClaw, an autonomous agent that leads drug molecule evaluation, screening, and optimization. It unifies over 30 specialized domain resources through a three-tier hierarchical skill architecture (70 skills in total) that facilitates agent long-term interaction at runtime: tool-level skills standardize atomic operations, workflow-level skills compose them into validated pipelines with quality check and reflection, and a discipline-level skill supplies scientific principles governing planning and verification across all scenarios in the field. Additionally, we introduce MolBench, a benchmark comprising molecular screening, optimization, and end-to-end discovery challenges spanning 8 to 50+ sequential tool calls. MolClaw achieves state-of-the-art performance across all metrics, and ablation studies confirm that gains concentrate on tasks that demand structured workflows while vanishing on those solvable with ad hoc scripting, establishing workflow orchestration competence as the primary capability bottleneck for AI-driven drug discovery.

bioinformatics↗

bioRxiv2026

WAVE2 and REST/NRSF Regulate Clustered Gene Expression by Maintaining Heterochromatin Organization

The actin polymerization machinery, comprising the ARP2/3 complex and its activators, the WASP family proteins, has been implicated in regulating a broad spectrum of nuclear processes, such as transcriptional regulation and nuclear organization. Here, using clustered protocadherin (cPcdh) and {beta}-globin genes as model systems, we showed that WAVE2, a member of the WASP family, regulates chromatin organization by maintaining heterochromatin dynamics. Specifically, by CRISPR DNA-fragment editing, in conjunction with integrated analyses of ChIP-seq, MeDIP-seq, ATAC-seq, 4C-seq, and RNA-seq, we showed that deposition of H3K9me3, a key heterochromatin mark, is significantly decreased at the cPcdh locus upon WAVE2 deletion, concurrent with aberrant accumulation of CTCF/cohesin complex at promoter regions and spatial reorganization of chromatin architecture around nucleolus. In addition, REST/NRSF exerts a similar heterochromatindependent effect on the cPcdh locus. Finally, genetic and genomic data showed that WAVE2 regulates {beta}-globin gene expression by maintaining heterochromatin status. Together our data suggested that WAVE2 and REST/NRSF regulate clustered gene expression in a heterochromatin-dependent manner.

molecular biology↗

bioRxiv2026

A Non-Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

Lung squamous cell carcinoma (LUSC) lacks clearly defined key drivers and effective targeted therapies, reflecting an incomplete understanding of its molecular pathogenesis. Here, we identify SMAD4 as a critical regulator of three-dimensional (3D) genome organization in LUSC and uncover a mechanistic link between tumor suppressor loss and oncogenic transcriptional activation. By integrating clinical datasets, genetically engineered mouse models, human and murine LUSC cell lines, and multi-omics analyses, we demonstrate that SMAD4 deficiency promotes LUSC progression by unleashing EP300-mediated enhancer-promoter looping at the SOX2 locus. Mechanistically, SMAD4 does not directly bind SOX2 regulatory elements but instead constrains chromatin looping by sequestering EP300 away from loop anchor regions. Loss of SMAD4 leads to enhanced H3K27ac deposition, aberrant SOX2 activation, and increased LUSC tumor cell proliferation. Together, these findings reveal a non-canonical role for a transcription factor (e.g., SMAD4) in regulating dysregulated 3D genome architecture to inhibit tumor development.

cancer biology↗

bioRxiv2026

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

The evolutionary trajectory of lung squamous cell carcinoma (LUSC) remains poorly defined, hindering the development of effective therapies. By integrating genomic and transcriptomic sequencing from human LUSC specimens, we delineated a polyclonal-to-monoclonal evolutionary trajectory during LUSC progression. This evolutionary pattern was corroborated by single-cell RNA sequencing, which revealed consistent tumor cell heterogeneity. Specifically, the SBS5 mutational signature was enriched and correlated with poor prognosis independent of tumor stage. By further utilizing the spontaneous LUSC mouse model to identify key genomic and genetic events in LUSC progression, we observed that the JNK pathway was inhibited and that cytoskeleton-related pathways were dysregulated during LUSC development, and identified the mutations in the JNK pathway (e.g., DACT1) and cytoskeletal regulators (e.g., KIF26A). Collectively, these findings established a polyclonal-monoclonal evolution paradigm for LUSC, potentially regulated by JNK pathways, which could benefit LUSC precision therapeutics.

genomics↗

bioRxiv2026

A Conserved Metabolic Oxidative Axis Underlies Immune Cell Cryo-vulnerability

Immunotherapy has emerged as a transformative approach for treating cancer and other diseases, yet its widespread deployment requires effective cryopreservation strategies to enable scalable global distribution. However, many immune cell types remain acutely vulnerable to freeze-thaw stress, and the underlying mechanisms of this cryo-vulnerability are not well defined. In this study, we combined metabolic flux analysis, ROS quantification, lipidomics, and preclinical xenograft models to investigate how metabolic state influences cryopreservation outcomes. We found that immune cell activation induces a metabolic shift characterized by elevated glucose utilization and excessive ROS production, leading to profound post-thaw loss of viability and function, as demonstrated by a [~]25% survival rate in natural killer (NK) cells. Targeted pretreatments--including inhibitors of glucose metabolism, antioxidants, and suppression of lipid peroxidation--restored post-thaw recovery to nearly 90% while preserving effector activity and antitumor efficacy. Similar protective effects were observed across {beta} T cells, {gamma}{delta} T cells, and macrophages, defining a conserved metabolic-oxidative pathway of cryo-vulnerability and offering applicable strategies to enhance immune cell preservation.

immunology↗

bioRxiv2026

A Conserved Geometric Code: Extracellular Matrix Curvature Directs Cell Migration Strategy via Nuclear Mechanosensing

Cells navigate complex tissue microenvironments defined by intricate physical cues, yet how they interpret the three-dimensional geometry of the extracellular matrix (ECM) remains an open question. Current models often fail to account for the tortuous architectures found in physiological tissues. Here, we demonstrate that ECM curvature functions as a tissue-specific geometric code read by the cell nucleus. By mapping collagen architectures across cancers and tissues, we find unique curvature fingerprints preserved during metastasis. Using micro-engineered substrates, we show that high curvature imposes localized nuclear bending stress, triggering a Lamin A/C-cPLA2-Ca2+ mechanotransductive cascade. This sensor rewires the cytoskeleton from longitudinal stress fibers to a cortical actomyosin network, driving a sharp transition from fast mesenchymal migration to a slower, exploratory amoeboid phenotype. We term this "nuclear curvotaxis", establishing a physical principle linking static geometry to dynamic strategy, with implications for predicting metastatic risk, understanding immune exclusion, and designing bio-instructive scaffolds for tissue engineering.

biophysics↗

bioRxiv2026

A Pangenome Centralized NLRome Drives Lineage Specific Diversification and Functional Differentiation in Solanoideae

The Solanoideae subfamily comprises numerous economically important crops that deploy a diverse repertoire of nucleotide-binding leucine-rich repeat receptors (NLRs) to defend against pathogens. However, the evolutionary trajectory of these NLR immune receptors remains poorly understood. Here, we dissect NLR family evolution across 23 Solanoideae species by integrating genomic and transcriptomic data. We uncover a distinctive pangenome-centralized architecture wherein a mere 11.56% of soft-core orthogroups contribute 67.81% of the total NLR repertoire, with copy-number variation driven by lineage-specific expansions rather than stochastic distribution or genome size. This finding indicates that Solanoideae plants counteract biotic stress through targeted amplification of specific key families rather than undergoing broad diversification. Phylogenomic analysis resolves NLRs into four subclasses, revealing CC-NLR dominance across all species alongside extreme TIR-NLR degeneration in certain lineages, suggesting profound immune adaptive shifts. Mechanistically, recent NLR expansions are primarily fueled by proximal and tandem duplications, whereas whole-genome duplications contribute in a ploidy- and time-dependent manner, with WGD-derived genes undergoing extensive loss during diploidization. Transcriptional profiling further demonstrates duplication-type-dependent expression patterns, enabling a robust, multilayered defense network upon pathogen infection. Collectively, our study delineates the asymmetric evolutionary trajectory of the Solanoideae NLRome and establishes a framework model that provides new insights into the adaptive evolution of plant immune systems and resistance gene discovery.

genomics↗