Biology subjects

Yu, H.

Publications and source records attributed to Yu, H..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

The HES1-SOD1 Antagonism Shapes Senescence Heterogeneity and Impacts Metastatic Relapse of Circulating Tumor Cells

Circulating tumor cells (CTCs) encounter multiple challenges within the blood microenvironment, including oxidative stress, flow shear forces, and immune surveillance, often leading to anoikis. Recently, a transitional state of CTC senescence has been identified, contributing to metastatic inefficiency. However, the molecular mechanisms linking senescent CTCs to disease relapse remain to be defined. By integrating a genetic model of cortactin knockdown-induced CTC senescence with single-cell multi-omic analyses, we revealed two distinct senescent CTC subpopulations marked by HES1 expression levels. These HES1low and HES1high subpopulations exhibited differential evolutionary trajectory dynamics and unique molecular and metabolic signatures, which were significantly correlated with adverse clinical outcome across several patient cohorts. HES1low senescent CTCs displayed enhanced mitochondrial fitness, oxidative phosphorylation, and ROS-detoxifying capabilities, resulting in more efficient tumor regrowth with a pro-inflammatory and thrombotic phenotype when compared to the HES1high group. Mechanistically, HES1 directly bound to the Sod1 promoter and repressed its expression, leading to redox imbalance and mitochondrial dysfunction that were linked to weakened tumor regrowth capacity. Both senescent CTC subpopulations were broadly resistant to cytotoxic and targeted therapies, yet they showed elevated dependency on anti-apoptosis programs that make them susceptible to dual blockade by SOD1 inhibitor and the anti-senolytic drug ABT737 in vivo. Finally, in a prospective cohort of on-treatment melanoma patients, HES1 senescent CTCs were highly enriched in patients with progressive disease. Thus, the HES1-SOD1 antagonism shapes CTC senescence heterogeneity and contributes to differential tumor relapse, which can be therapeutically explored for eliminating residual metastatic disease.

cancer biology↗

bioRxiv2026

Whole-genome resequencing-based comparative variant analysis identifies candidate genes associated with cross-beak phenotype in Huiyang Bearded chickens

Cross-beaks are deemed a threat to poultry health, productivity, and animal welfare. Nevertheless, due to sporadic cases, heterogeneity of gene loci and incomplete dominance, the molecular mechanism of cross-beak formation, especially the degree of cross, is not yet clear. Thus, we screen key genes and reveal the possible phenotypic formation mechanism of cross-beak by comparison with different degrees of deformity in Huiyang Bearded chickens by compare whole-genome resequencing-based variant analysis. Comparative analysis between cross-beak and normal-beaked chickens identified differential variants in several candidate genes, including CDH11, CTNNAL1, NRXN3, NRXN1, CDH5, SDC3, and DHFR. Genes harboring these variants were enriched in pathways related to cell adhesion molecules and metabolic processes, with functional annotations involving cell-cell adhesion and neural crest cell migration. Comparative analysis between chickens with severe and slight cross-beak deformities identified additional candidate genes, including MRPL21, NSUN2, DDX55, GNB3, and NFKB2. These genes were associated with enriched terms and pathways related to focal adhesion, amyotrophic lateral sclerosis, steroid 7 -hydroxylase activity, and skin-barrier establishment. These findings provide a preliminary catalogue of genetic variants and candidate genes for future functional studies of cross-beak development and severity in chickens.

genomics↗

bioRxiv2026

Thermal fertility limits reveal underestimated climatic suitability for Aedes aegypti in temperate regions

Predicting species distributions under climate change typically relies on thermal limits for survival. However, recent evidence suggests that sublethal temperatures that reduce fertility can constrain distributions more strongly than temperatures causing mortality alone. Despite the importance of mosquitoes as vectors of human disease, thermal fertility limits remain largely uncharacterized in these insects. Here, we show that fertility in Aedes aegypti is highly sensitive to thermal stress and exhibits distinct sex-specific responses. Adult males were more vulnerable to both heat and cold exposure than females. At 38{degrees}C, survival remained high in both sexes despite significant reproductive impairment, indicating that sterility can occur independently of mortality. Similarly, exposure to 2{degrees}C induced male sterility whereas females maintained reproductive function. Morphological analyses of reproductive organs showed temperature-associated damage consistent with the observed fertility loss. Incorporating these fertility thresholds into ecological niche models generated different predictions of climatic suitability compared with models based solely on lethal temperature limits. Our findings demonstrate that sublethal effects on reproduction can substantially influence estimates of mosquito climatic suitability and highlight the importance of incorporating fertility based thermal limits into projections of vector distributions and disease risk under future climate change.

ecology↗

bioRxiv2026

IGF2BP3 amplifies antiviral innate immunity with implications for autoimmune diseases

The insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) is a known N6-methyladenosine (m6A) reader, but its role in antiviral innate immunity is unknown. Here, we identify IGF2BP3 as a critical positive regulator of antiviral responses. Viral infection and interferon (IFN) stimulation upregulate IGF2BP3, establishing a feedforward loop that potentiates virus-induced activation of the TBK1-IRF3 and NF-{kappa}B pathways, thereby amplifying type I interferon (IFN-I) production, and restricting viral replication in human and murine cells and in vivo. Mechanistically, IGF2BP3 directly binds and stabilizes MAVS and TBK1 mRNAs and promotes their translation by facilitating recruitment to the eIF4F/PABP-associated initiation complex. Upon infection, IGF2BP3 relocalizes to antiviral stress granules (avSGs), where it scaffolds the RIG-I-G3BP1 complex to enhance viral RNA sensing. Notably, IGF2BP3 is aberrantly upregulated in patients with systemic lupus erythematosus (SLE) and in Trex1 knockout (KO) mice, and pharmacological inhibition by curcumol suppresses IFN-I-driven pathology and improves survival. Collectively, our findings establish IGF2BP3 as a central feedforward circuit that couples viral RNA sensing to the control of RNA stability and translation of key signaling molecules, and reveals its potential as a therapeutic target in interferon-associated autoimmune diseases. Significance StatementAntiviral immunity demands rapid and coordinated gene expression, yet how RNA-binding proteins link viral recognition to downstream signaling is poorly understood. We reveal that the m6A reader IGF2BP3 acts as a central amplifier of antiviral innate immunity. Induced by both viruses and interferons, IGF2BP3 enhances viral RNA sensing, stabilizes key signaling transcripts, and boosts their translation, creating a self-reinforcing feedforward circuit that strengthens interferon responses. Beyond host defense, IGF2BP3 is aberrantly elevated in interferon-driven autoimmunity, and its pharmacological inhibition reduce disease pathology in vivo. Our findings uncover a previously unrecognized mechanism that integrates RNA metabolism, stress-granule signaling, and translational control to regulate innate immunity, offering new therapeutic perspectives for both infectious and autoimmune disease.

immunology↗

bioRxiv2026

A longevity-associated ubiquitin E3 ligase UBE3C governs lamin B1 homeostasis through selective autophagy and delay senescence

Nuclear lamina integrity is fundamental to cellular homeostasis across the lifespan 1, and its progressive deterioration is closely linked to human aging 2. Yet, the regulatory mechanism that govern this decline and how they might be counteracted in long-lived individuals remain poorly defined. Here, by combining whole-exome sequencing of Ashkenazi Jewish centenarians with GTEx transcriptomes, we identify ubiquitin E3 ligase UBE3C strongly associated with exceptional longevity and progressively declines with age across human tissues. UBE3C knockdown triggers premature senescence and destabilizes key nuclear lamina components Lamin B1 (LMNB1) and Lamin B receptor (LBR), while the longevity-associated UBE3C variant delays senescence and preserves LMNB1/LBR expression. Mechanistically, UBE3C interacts directly with LMNB1/LBR and modulates their abundance via selective autophagy. Notably, we uncover the ER- resident autophagy trigger CKAP4 3 bridges UBE3C and LMNB1. UBE3C loss enhances LMNB1-CKAP4 binding, linking nuclear lamina turnover to autophagy. Together, our findings establish UBE3C as a central guardian of nuclear lamina maintenance during senescence and offering novel insights into interventions against age-related nuclear lamina deterioration.

cell biology↗

bioRxiv2026

Prompting Beyond Pairs: Decoupled Semantic Supervision for Knowledge-Guided Multiplex Virtual Staining

Virtual staining provides a non-invasive alternative to fluorescence microscopy, yet existing deep learning approaches fundamentally rely on pixel-aligned, multiplexed fluorescence targets for supervision. This dependence on rigidly paired data limits scalability, constrains flexibility in generating diverse subcellular structures, and becomes impractical in data-scarce biological settings. In this work, we introduce a semantic supervision paradigm for virtual staining, demonstrating that domain-knowledge prompts can effectively replace conventional pixel-level supervision. Unlike existing methods constrained by rigidly paired multiplex targets, our framework leverages biological prompts to decouple structural guidance from image translation. This decoupling enables high-fidelity, independent synthesis of multiple subcellular structures using only single-channel data. To ensure high-fidelity generation under weak supervision, we integrate self-supervised representation learning to mitigate data scarcity and incorporate direct preference optimization to suppress structural artifacts. Evaluations on the JUMP benchmark demonstrate that our approach effectively balances flexibility and fidelity, outperforming supervised baselines with a 43.3 % reduction in Average FID and an Average PCC of 0.912, while exhibiting high robustness in channel-deficient scenarios. Furthermore, the model generalizes across four in-house datasets to successfully multiplex six subcellular structures, overcoming the physical constraints of conventional fluorescent staining.

bioengineering↗

bioRxiv2026

Coevolution-driven reconstruction of multi-taxa siderophore interaction networks reveals topological diversity of microbial exploitation

Microbial communities are shaped by secreted metabolites that mediate ecological interactions, yet predicting these interactions from genomic sequences remains difficult, because the specific recognition between co-functional metabolites (CFMs), such as siderophores, and their receptor proteins (Rec) cannot be inferred from gene annotation alone. This difficulty arises from three factors: the prevalence of Rec-mediated exploitation, the lack of high-accuracy functional annotations, and the absence of genomic co-localization between functionally paired CFM-Rec in Gram-positive bacteria. Here we present the Coevolution-based Interaction Model (CIM), an automated framework that maps specific CFM-Rec pairings directly from uncurated genomic datasets. Using a dynamic joint optimization strategy that accounts for exploitation asymmetry and avoids combinatorial explosion, CIM identifies functional pairings solely through evolutionary covariation. We validated this approach by reconstructing macroscale iron scavenging networks across nine bacterial taxa. Experiments confirmed that CIM can bridge genomic distances exceeding 3 Mb in the Gram-positive genus Rhodococcus to identify unlinked cognate receptors, and can accurately predict cross-utilization by exploiter strains despite substantial receptor sequence heterogeneity in Burkholderiaceae and Rhizobiaceae. Finally, topological analysis of the reconstructed networks shows that siderophore exploitation acts as a universal topological glue, fusing fragmented microbial populations into highly connected communities, and that the exploitability of siderophore production reverses depending on network modularity. CIM thus offers a scalable, sequence-to-ecology approach for predicting interactions mediated by secondary metabolites in microbial communities.

systems biology↗

bioRxiv2026

The Ancient Origin and Dynamic Diversification of the Fungal Poly(ADP)-ribose Polymerase Protein Family

Poly(ADP-ribose) polymerases (PARPs) catalyze ADP-ribosylation, a conserved post- translational modification involved in DNA repair, transcriptional regulation, and chromatin remodeling. Although extensively studied in animals, the evolution and diversification of PARPs across the fungal kingdom remain largely unexplored. Here, we present the first kingdom-wide comparative genomic analysis of PARP proteins across 534 fungal species spanning eight phyla. We identified two primary conserved fungal PARP protein types corresponding to human PARP1 and PARP6. Both exhibit highly dynamic evolutionary histories characterized by frequent independent gain and loss events. Ancestral state reconstruction supports the presence of PARP1 in the last common ancestor of fungi, whereas the PARP6-like family has undergone repeated lineage-specific gains and losses. Fungal PARP6-like proteins retain a compact PARP catalytic domain fused to a C-terminal E2 ubiquitin-conjugating domain, whereas the PARP1 family displays extensive structural diversification through domain shuffling and lineage-specific fusions associated with DNA metabolism, chromatin remodeling, and signal transduction. Reconstruction of ancestral catalytic motifs across fungi and other eukaryotes revealed convergent evolution of a non-canonical H-Y-Y catalytic triad, with multiple motif variants co-occurring within individual proteins, suggesting functional diversification. In the Fusarium oxysporum species complex, we identified a lineage-specific expansion of the PARP family, driven exclusively by accessory chromosomes. Genomes with expanded PARP1 repertoires exhibited elevated basal PARylation, increased resistance to DNA-damaging agents that induce single strand breaks, and DNA damage- induced expression of accessory Parp genes. These findings reveal fungal PARPs as evolutionarily dynamic proteins that likely contribute to genome stability, adaptation, and pathogenicity.

evolutionary biology↗

bioRxiv2026

Routine FFPE sections support clinically compatible single-nucleus transcriptomics across six human cancer types

Tumor cellular composition--including malignant cell states, immune populations, and stromal populations--is increasingly recognized as a determinant of therapeutic response and resistance to anti-cancer agents, yet comprehensive cellular profiling remains largely confined to research settings. Here, we present a clinically compatible sample-to-report workflow for tumor composition profiling from routine formalin-fixed paraffin-embedded (FFPE) clinical specimens. By combining low-input single-nucleus RNA sequencing with foundation model- based automated cell annotation, this workflow enables prospective sample-by-sample analysis without dedicated research material or cohort-based processing. Across 116 clinical specimens representing six cancer types, we generated reproducible measurements of cellular composition and cell-type-specific gene expression, demonstrated high technical reproducibility, and showed concordance with pathological assessment of immune infiltration. The workflow was similarly applicable to archival FFPE material and ultra-low-input biopsy specimens. Together, these findings establish a practical framework for routine single-cell profiling from standard pathology specimens and open the perspective of prospective evaluation of cellular composition as a clinical biomarker in precision oncology.

cancer biology↗

bioRxiv2026

Scalable single-cell isoform profiling with sequencing-by-expansion

Single-cell RNA sequencing has transformed our understanding of cellular systems, yet the reliance on short-read sequencing restricts analysis to gene-level quantification and obscures the immense biological diversity generated by alternative splicing. While long-read sequencing technologies can capture full-length RNA and resolve transcript isoforms, current platforms remain constrained by throughput and high per-base costs, rendering them impractical for modern million-cell applications. To address this critical limitation, we developed and optimized sequencing-by-expansion (SBX) chemistry for high-throughput single-cell RNA isoform profiling. Integrated within the AXELIOS 1 sequencing platform, SBX employs a unique biochemical conversion process that transforms complementary DNA into expanded surrogate high signal-to-noise polymers called Xpandomers which are sequenced via translocation through a dense nanopore array yielding over 9.5 billion reads in a two-hour run. To leverage this unique data type for long-read single-cell RNA isoform sequencing, we developed the Consensus UMI Deduplication using Longest Length (CUDLL) algorithm, which computationally consolidates variable-length raw SBX reads into single, high-fidelity consensus reads, elevating sequence accuracy to 99.83% and maximizing per transcript read length. We demonstrate that this consensus approach successfully captures the vast isoform diversity of single-cell libraries and enables the accurate measure of differential isoform expression across distinct cell types in peripheral blood mononuclear cells. Furthermore, SBX coupled with CUDLL efficiently resolves T-cell and B-cell receptor clonotypes directly from whole-transcriptome libraries without the need for VDJ-specific target enrichment. Ultimately, this work establishes SBX and the AXELIOS 1 as a transformative platform for high-scale single-cell isoform sequencing.

genetics↗

bioRxiv2026

Sensory neurons shape γδ T cell effector programs to control Psoriasiform Inflammation.

Psoriasis is a chronic autoimmune skin disorder marked by IL-17 producing gamma delta T cell ({gamma}{delta}T17) and pruritus, but immunoregulatory roles of itch-inducing neurons in this context remain unclear. This study addressed whether non-peptidergic (NP) afferents bearing the Mas-related G protein-coupled receptor D (MrgprD/NP1) and MrgprA3/NP2 subsets had differential effects on psoriasiform immunopathology. Data show human NP1 and NP2 neurons basally expressed an array of pattern recognition and cytokine receptor genes and psoriatic human skin had a profound dysregulation of neuropeptides and their receptors. In mice, imiquimod (IMQ) application reduced the density of MrgprD+ skin afferents, whereas NP1 neuron ablation exacerbated IMQ-induced disease. Strikingly, NP1 activation using either optogenetics or {beta}-alanine before IMQ exposure significantly reduced epidermal thickness, psoriatic clinical score and {gamma}{delta}T17 cell accumulation. In stark contrast, NP2 activation increased the numbers of {gamma}{delta}T17 cells that co-expressed amphiregulin (Areg) and exacerbated IMQ-driven skin pathology. Instead, pre-emptive NP1 stimulation shifted {gamma}{delta} T cell profiles away from being IL-17 and Areg dominant to IL-13+ {gamma}{delta} T cells expressing the transcription factor GATA3 accompanied by IL-10 secretion. Importantly, IL-10 signaling blockade reversed NP1-mediated suppression of IMQ-induced dermatitis. These data show that inflammatory skin disease can be distinctly modulated by sensory neuron subsets.

immunology↗

bioRxiv2026

Saturated mutagenesis screen of M-MLV reverse transcriptase identifies variants enhancing prime editing efficiency

Prime editing enables the precise modification of genomes, thereby holding great potential for the treatment of genetic diseases. Despite substantial advancements in prime editing technology and the initiation of the first clinical trial for treating chronic granulomatous disease, further enhancement of editing efficiency across edit types is still urgently needed. Here, we developed a compact prime editor, PE2{Delta}R, by deleting the RNase H domain of the MMLV reverse transcriptase (MMLV-RT). We then conducted a saturated mutagenesis screen targeting two DNA interacting regions within the PE2{Delta}R-RT Fingers domain. By integrating three highly effective mutations (I61R, V101R, S67W) into PEmax lacking RNase H domain (termed PEmax{Delta}RM3), we achieved up to a 90% increase in editing efficiency across editing types compared to PEmax. Structural modelling using AlphaFold 3 suggests that these mutations enhance primer-template stabilization and guide the RNA/DNA hybrid into a catalytically favourable trajectory, providing a mechanistic explanation for the enhanced activity. Taken together, our study demonstrates proof-of-concept for the application of unbiased mutagenesis screen to identify novel mutations that enhance prime editor performance. Furthermore, we discovered that RT variants (I61R, V101R, S67W) synergize with PEmax and epegRNA to improve prime editing efficiency across edit types, with the strongest improvement observed in introducing small deletions.

molecular biology↗

bioRxiv2026

Endotome as a Source of Human Peri-Aortic Brown Adipocytes

Brown adipocytes (BAs) hold therapeutic promise for obesity and metabolic diseases. While interscapular BAs derive from Pax3+/Myf5+ dermomyotome, peri-aortic BAs are inferred from an unknown Pax3+/Myf5- somitic origin. Here, we identify human endotome as an MYF5-independent source of peri-aortic BAs. Through interrogating public mouse organogenesis and in-house human trunk embryoid single-cell data, we show that the early endotome cells are MYF5-independent and are primed by TGF-{beta}-induced epithelial-to-mesenchymal transition. Mechanistically, endotome-to-BA specification requires sequential BMP inhibition and Wnt activation. This roadmap results in UCP1-expressing and metabolically active BAs that transcriptionally resemble in vivo peri-aortic BAT. The multipotent endotome cells also give rise to vascular smooth muscle and endothelial cells, offering a self-sufficient source for BAT vasculature. Endotome-derived BAs show accelerated differentiation, reduced heterogeneity, and sustained Wnt activity. Thus, the endotome provides a versatile platform for generating BAs and supporting vasculature, with implications for cell-based therapy and tissue engineering in metabolic disease.

developmental biology↗

bioRxiv2026

POGZ safeguards neuronal gene chromatin architecture and transcription

Disruption of chromatin organization is a common pathogenic mechanism in neurodevelopmental disorders, yet how changes in 3D genome architecture relate to transcriptional dysfunction in the developing brain remains unclear. POGZ, a transposase-derived chromatin regulator mutated in White-Sutton syndrome and autism spectrum disorder (ASD) has been linked to both heterochromatin and accessible regulatory DNA, but its in vivo function in the brain is unresolved. Using immunoprecipitation-mass spectrometry in embryonic day 13.5 (E13.5) mouse cortex, we identify the H3K9 methyltransferases G9a/GLP as principal POGZ interactors, placing POGZ within the core H3K9 methylation machinery in vivo. We find that POGZ loss in embryonic mouse cortex drives bidirectional, megabase-scale redistribution of H3K9me3, with ectopic losses and gains over discrete neuronal gene loci. In developing Pogz-/-cortex, regions with H3K9me3 gains are repositioned to the nuclear lamina and exhibit strengthened B-compartment scores by Micro-C, locus-restricted erosion of TAD architecture, weakened boundary insulation, and reduced CTCF occupancy. Within these domains, nascent RNA synthesis at neuronal genes is markedly diminished. These results identify POGZ as a G9a/GLP-associated chromatin regulator that protects neurodevelopmental gene domains from heterochromatinization and perinuclear sequestering, preserving 3D architecture and transcription during cortical development. Major PointsO_LIPOGZ interacts with the G9a/GLP H3K9 methyltransferase complex in the developing mouse cortex, identified by IP-mass spectrometry. C_LIO_LILoss of POGZ drives megabase-scale redistribution of H3K9me3 and increases compartmentalization and nuclear-lamina association of neurodevelopmental gene loci, shown by ChIP-seq, Micro-C, and DNA FISH. C_LIO_LIMicro-C reveals disrupted TAD architecture at specific neuronal gene loci in Pogz-/-.PRO-seq shows POGZ is required to maintain nascent RNA synthesis of neurodevelopmental genes within disrupted chromatin domains. C_LI

neuroscience↗

bioRxiv2026

Structural basis of the nucleotide incorporation cycle of bacterial DNA polymerase III

Bacterial DNA polymerase III (PolIII) is the primary replicative polymerase responsible for faithful genome duplication, yet high-resolution structural snapshots of the enzyme during DNA synthesis and proofreading have remained elusive. Here we determine cryo-EM structures of the Escherichia coli PolIII core-clamp-DNA binary, ternary and proofreading complexes at 2.4-2.7 [A] resolution, revealing the structural basis of nucleotide selection, incorporation and proofreading. Binding of an incoming nucleotide expels the single-stranded template overhang from the polymerase central channel and induces a large rotation of the polymerase index finger, which closes around the incoming nucleotide to form a compact nascent base-pair-binding pocket. A conserved tyrosine on the finger stacks against the incoming nucleotide to impose stringent steric constraints that promote nucleotide selection, whereas a conserved histidine acts as a steric gate to exclude ribonucleotides. The proofreading structures capture key intermediates that reveal how PolIII transfers a mismatched primer terminus to the 3'-5' exonuclease active site and excises the misincorporated nucleotide while avoiding unnecessary degradation of correctly paired DNA. Together, these findings define the molecular mechanism by which the bacterial replicative polymerase couples rapid and processive DNA synthesis with exceptional replication fidelity.

biochemistry↗

bioRxiv2026

The Two-Component System CrdRS Mediates Sub-inhibitory Antibiotic-Induced Biofilm Formation in Helicobacter pylori via Bidirectional Regulation of Transporters PlpA and GlnP

Biofilm formation by Helicobacter pylori is a major driver of antibiotic tolerance and treatment failure, yet the signaling pathways that trigger biofilm development under sub-inhibitory antibiotic pressure remain poorly understood. Here, we show that sub-MIC levels of metronidazole, amoxicillin, and ciprofloxacin potently induce dense H. pylori biofilms. Through transcriptomic and genetic analyses, we identify the two-component system CrdRS as a central signaling hub that orchestrates this response via the bidirectional regulation of two ATP-binding cassette (ABC) transporters. Phosphorylated CrdR binds to AC-rich promoter motifs to directly activate plpA, which encodes a substrate-binding protein that drives exopolysaccharide secretion and matrix assembly. Concomitantly, CrdR represses glnP, which encodes an inner-membrane permease, thereby relieving transcriptional inhibition of the L-asparaginase gene ansB. This derepression triggers aberrant reactive oxygen species (ROS) accumulation, which promotes oxidative stress-dependent biofilm maturation. Through phenotypic analysis of crdRS deletion mutants, phosphorylation-defective point mutants (CrdRD53A and CrdSH173A), and exogenous hydrogen peroxide (H2O2) induction, we demonstrate that CrdRS specifically responds to antibiotic-induced stress signals in a manner genetically separable from ROS sensing. Collectively, our findings establish a dual-mechanism model in which CrdRS orchestrates antibiotic-induced biofilm formation by simultaneously controlling matrix production and intracellular ROS generation. Notably, glnP expression was significantly lower in clinical multidrug-resistant isolates than in drug-sensitive ones, whereas plpA showed the opposite trend. These findings provide a mechanistic foundation for developing CrdRS-targeted strategies to combat biofilm-associated H. pylori infections.

microbiology↗

bioRxiv2026

eRNAformer enables genome-wide de novo mapping of enhancer-derived RNA loci

Enhancer-derived RNAs (eRNAs) are critical regulators of gene transcription, yet their genome-wide annotation remains challenging. Here, we present eRNAformer, a multi-modal deep learning framework that integrates convolutional neural networks with transformers, specifically designed to capture long-range genetic features associated with bidirectional transcription. This approach enables de novo mapping of eRNA loci using DNA sequence and aggregated conventional RNA-seq data. When evaluated on ENCODE datasets, eRNAformer demonstrated high sensitivity and specificity in discriminating known eRNA loci from non-eRNA loci. Notably, the newly identified eRNA loci were enriched with evolutionarily constrained variants and genetic risk factors for complex diseases, and exhibit potential relevance for cancer therapy. Applied to GEO datasets, eRNAformer identified a range from 14,219 to 56,451 eRNA loci across multiple hematologic malignancies, facilitating the construction of a comprehensive eRNA database for blood cancers. We further identified and experimentally validated FOXO1e, a cluster of eRNAs located approximately 120 kb upstream of FOXO1, a known oncogene that drives t(8;21) acute myeloid leukemia (AML) preleukemic program. Together, these findings establish eRNAformer as a powerful tool for genome-wide eRNA annotation, provide a valuable resource for eRNA studies in hematologic cancers, and underscore the functional importance of eRNAs in AML pathogenesis.

bioinformatics↗

bioRxiv2026

SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics

Spatially resolved transcriptomic (SRT) data requires spatial domain identification to enable tissue microenvironment-specific downstream analyses. Here we present SPEAK (Spatial Prompting with Expert-Aligned Knowledge), a large language model (LLM)-based method to identify spatial domains from SRT data by taking advantage of the prior knowledge from both LLM and human experts. SPEAK constructs a spatial context prompt for each cell/spot based on cell types and marker genes of its neighboring cells, enabling zero-shot inference, expert-guided fine-tuning, and prototype updating through two-stage prompting. Applications to STARmap, Visium, MERFISH and Xenium datasets showed advantages of SPEAK over existing spatial domain identification methods in domain prediction accuracy, robustness to limited prior knowledge, biological interpretability, and capacity for efficient expert-guided fine-tuning with generalizability to other tissue sections.

bioinformatics↗