Biology subjects

Xia, B.

Publications and source records attributed to Xia, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Cell-Based Sensor for Extracellular DNA

Detection of molecules with cell-based sensors allows for conversion of binding events into gene expression outputs. Here, we present a cell-based sensor that can detect extracellular double-stranded DNA. This sensor is based on an engineered receptor which we call Luminescent Ultrasensitive Nucleic Acid Reporter, or LUNAR. LUNAR is based on a recently developed Programmable Antigen-gated G-protein-coupled Engineered Receptor (PAGER). PAGERs are a genetic fusion of an auto-inhibitory peptide, a protein-binding domain, and a modified kappa opioid receptor. PAGERs are gated by two binding events. First, a protein ligand displaces an intramolecular inhibitor, Arodyn, then a second ligand activates the receptor. By replacing the protein-binding domain with a DNA binding zinc finger protein (ZFP) we could detect extracellular DNA in a dose-dependent fashion. Here, we show that first-generation LUNAR constructs can detect both oligonucleotides and plasmid double-stranded DNA with nanomolar sensitivity in mammalian cells. Future work will focus on improving sensitivity, fold-change, and multiplexing capabilities for sequence-specific DNA detection.

synthetic biology↗

bioRxiv2026

Lipids Regulate Export of Lysosomal Enzymes from the Endoplasmic Reticulum

Lysosomal enzymes are synthesized in the Endoplasmic Reticulum (ER) and transported to lysosomes to execute their functions. Deficiencies in lysosomal enzymes or components of the lysosomal transport machinery result in lysosomal storage disorders. While mannose-6-phosphate mediated lysosomal enzymes sorting in the Golgi has been extensively characterized, the mechanisms governing their export from the ER remain elusive. Here, we show that de novo lipogenesis, a metabolic pathway responsible for fatty acid synthesis, regulates lysosomal enzyme transport. Inhibition of de novo lipogenesis leads to the retention of lysosomal enzymes within the ER. Mechanistically, fatty acid derived from de novo lipogenesis is used for Arf1 myristoylation. Myristoylated Arf1 promotes retrograde vesicle trafficking from the Golgi to the ER, thereby maintaining the homeostatic bidirectional flux required for efficient ER export of lysosomal enzymes. Our findings uncover a critical functional link between lipid metabolism and lysosomal enzyme trafficking.

cell 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

Genetically Engineered Biomimetic Nanozymes Reprogram Immune Niches to Intercept Colitis-Carcinoma Transition

Colitis-associated colorectal cancer (CAC) arises from chronic inflammatory niches characterized by persistent oxidative stress and dysregulated immune cell recruitment. Current anti-inflammatory therapies provide only transient symptom relief and fail to prevent malignant progression due to their inability to simultaneously mitigate oxidative injury and immune chemotaxis. Our analysis of clinical samples revealed markedly elevated C-X-C motif chemokine ligand 2 (CXCL2) in intestinal tissues from patients with inflammatory bowel disease (IBD) and CAC, implicating the CXCL2-CXCR2 axis in driving excessive neutrophil and macrophage infiltration and fostering tumorigenesis. Herein, we report a biomimetic nanozymes (PB@ECM) that reprogram inflammatory immune niches to intercept CAC progression. PB@ECM integrates a Prussian blue nanozyme core with genetically engineered macrophage membranes, enabling concurrent scavenging of reactive oxygen species through superoxide dismutase- and catalase-like activities and sequestration of CXCL2 via membrane-displayed CXCR2 receptors. In murine models of colitis and CAC, PB@ECM significantly alleviated intestinal inflammation, suppressed neutrophil and macrophage infiltration, and effectively inhibited colitis-carcinoma transition. By disrupting the pathological crosstalk between oxidative stress and immune chemotaxis, this work establishes a biomimetic nanozyme strategy for preventing inflammation-driven carcinogenesis.

bioengineering↗

bioRxiv2026

Defective BRCA1-mediated DNA end resection drives tandem duplication formation and FANCM synthetic lethality

AbstractBRCA1-linked cancer genomes contain abundant genome-wide [~]10 kb Group 1 tandem duplications (TDs) that are drivers of tumorigenesis. Group 1 TD formation is recapitulated at a chromosomal Tus/Ter site-specific replication fork barrier in DNA end resection-defective mouse embryonic stem (mES) cells lacking Brca1 exon 11. To explore relationships between DNA end resection and Group 1 TD formation, we analyzed Brca1 coiled coil (CC) domain mutants--separation-of-function alleles that are impaired for homologous recombination but competent for DNA end resection. Notably, Brca1 CC mutants retain the ability to suppress Group 1 TDs in the Tus/Ter system and in a mouse model of Brca1-linked tumorigenesis. These data show that Brca1 CC domain mutant cancers follow a path of tumorigenesis distinct from that of other pathogenic Brca1 alleles. FANCM is a TD co-suppressor, the loss of which is synthetic lethal/sick in combination with Brca1 exon 11 mutation. In contrast, Fancm deletion is well-tolerated by Brca1 CC mutant mES cells. Thus, Group 1 TD formation and Fancm synthetic lethality are linked phenotypes related to defective BRCA1-mediated DNA end resection.

molecular biology↗

bioRxiv2025

High-throughput in silico screen uncovers key regulators of 3D genome architecture

The vertebrate genome is spatially organized into topologically associating domains (TADs), primarily via cohesin-mediated loop extrusion which typically halts at convergent CTCF binding sites to establish domain boundaries. However, despite the essential roles of CTCF and cohesin in establishing TADs, a long-standing paradox persists: CTCF and cohesin binding sites dramatically outnumber observed TAD boundaries, suggesting the existence of undiscovered architectural factors. To identify such missing factors, we conducted high-resolution in silico screens using C.Origami, a multi-modal AI model for predicting chromatin interactions. Remarkably, we identified ZNF654 and JMJD6 as novel factors uniquely defining TAD boundaries. Experimental validation confirmed that ZNF654, an uncharacterized vertebrate-specific zinc-finger protein, interacts with CTCF to form an architectural protein complex that demarcates chromatin domains. Genetic knockout of ZNF654 weakens TAD boundary strength without influencing other CTCF or cohesin binding sites. JMJD6, a deeply conserved jmjC-family dioxygenase, marks the anchors of the strongest chromatin stripes at both TAD boundaries and enhancer-promoter sites, while deleting JMJD6 weakens or diminishes such interaction signature. These results revealed the long-sought factors that uniquely mark TAD boundary and chromatin interaction anchors which, together with CTCF and cohesin, demarcate chromatin domains during 3D genome organization. Last, the evolutionary trajectory of ZNF654 and JMJD6 offers key insight into the evolutionary origins of 3D genome organization across metazoan species.

genomics↗

bioRxiv2025

Phage display-mediated immuno-PCR to detect low-abundance secreted proteins in Drosophila

Circulating hormones, that mediate communications across organs to maintain physiological balance, are commonly detected and quantified using enzyme-linked immunosorbent assays (ELISAs). However, while ELISA is well-suited for organisms where sample blood can be readily obtained, its application is considerably more challenging in smaller organisms, particularly Drosophila, which has gained widespread use in recent years for physiological studies. Here, we present sensitive phage display-mediated immuno-PCR (PD-iPCR) to detect Drosophila hemolymph proteins via two approaches: 1) by identifying high-affinity nanobodies through phage-display library screening and subsequent affinity maturation and 2) by generating a knock-in fly line producing secreted proteins tagged with tandem NanoTags composed of VHH05 and 127D01. Using these approaches, we successfully established PD-iPCR to detect insulin-binding ImpL2 protein in fly hemolymph. Notably, the tandem NanoTag-based sandwich PD-iPCR enabled highly sensitive detection of tagged antigens, allowing us to quantify elevated ImpL2 levels in the hemolymph of starved flies and those bearing Yki-induced gut tumors. Collectively, our results demonstrate that PD-iPCR enables detection of endogenous, low-abundance circulating hormones in Drosophila, providing a powerful tool for studying interorgan communication. Significance statementHormones and other secreted factors orchestrate organism-wide physiology, yet their routine quantification in Drosophila has been limited by the limited volume of hemolymph available for assays like enzyme-linked immunosorbent assay (ELISA). Here, we present phage display-mediated immuno-PCR (PD-iPCR) as a novel sensitive platform for quantifying secreted proteins in flies in vivo. Using ImpL2 as an example, we successfully detected nanomolar level of circulating ImpL2 and monitored its physiological changes during starvation and tumorigenesis using PD-iPCR. This approach can be readily expanded to multiplexed quantification of secreted proteins in vivo by leveraging the multiple available nanobodies and the vast collection of epitope-tagged Drosophila lines. This work opens the door to systematic endocrine phenotyping across developmental stages and diverse physiological conditions.

genetics↗

bioRxiv2025

Oncogenic EGFR rewires STING-TBK1 immune machinery to license DNA damage tolerance

EGFR hotspot mutations (mEGFR), including primary L858R, exon 19 deletion, and secondary T790M, are pivotal oncogenic drivers in human non-small cell lung cancer (NSCLC). Meanwhile, NSCLC resistance to third-generation tyrosine kinase inhibitors (TKIs) is a major clinical challenge and remains mechanistically unresolved. Here, we uncover a previously unrecognized immunological mechanism whereby mEGFR exploits cGAS-STING innate immune signaling, conventionally regarded as tumor-suppressive, to sustain oncogenic signaling and therapeutic resistance. Mechanistically, mutant EGFR kinase aberrantly incorporates into STING signalosomes, directly phosphorylating STING (Y245/Y314) and TBK1 (Y577/Y677), stabilizing and hyperactivating TBK1 proteins, and establishing an unexpected and kinase loop critical for DNA damage repair. Disruption of this mEGFR-STING-TBK1 axis, genetically or pharmacologically, profoundly sensitized resistant patient-derived NSCLC organoids to chemotherapy. Combining TBK1 inhibition with cisplatin notably eradicated mEGFR-driven tumors in spontaneous and immunocompetent NSCLC murine models and patient-derived organoids. Our findings suggest a new function of cGAS-STING in the DNA damage repair program, its paradoxical exploitation by oncogenic driver mutations, and an innate immune therapeutic vulnerability in NSCLC.

cancer biology↗

bioRxiv2025

Enteric ChAT-expressing neurons as new target for Lactobacillus plantarum ameliorates inflammatory bowel diseases

The gut microbiota plays a crucial role in inflammatory bowel diseases (IBD), yet how specific microbial components influence disease progression remains incompletely understood. Our study reveals that decreased abundance of Lactobacillus species correlates with ulcerative colitis severity in patients. Among tested strains, L. plantarum A736, isolated from traditional fermented foods, demonstrated remarkable efficacy in ameliorating dextran sulfate sodium (DSS)-induced colitis in a mouse model. Strikingly, multi-omics analysis revealed that L. plantarum A736 uniquely enhances choline acetyltransferase-expressing (ChAT+) neurons in the enteric nervous system and elevates acetylcholine (ACh) levels. Further analysis identified that L. plantarum A736 metabolizes tryptophan to produce indole-3-lactic acid (ILA), and supplementation with ILA significantly mimics this strains anti-inflammatory effects by activating ChAT+ neurons. Crucially, selective ablation of colonic ChAT+ neurons completely abolished the therapeutic benefits of both L. plantarum A736 and ILA, establishing their essential role in mediating these effects. These findings demonstrate for the first time that microbial metabolites can directly modulate enteric neuronal circuits to regulate gut immunity. The identified ILA-ChAT+ neuron axis represents a novel neuro-immune pathway that could be targeted for IBD treatment. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/673902v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@1e0d3c5org.highwire.dtl.DTLVardef@16f5481org.highwire.dtl.DTLVardef@152283org.highwire.dtl.DTLVardef@18cfad0_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2025

Multimodal learning decodes the global binding landscape of chromatin-associated proteins

The identity of a cell is governed by regulatory proteins binding to the genome to control gene expression. Mapping these genome-wide binding events across thousands of proteins and cell types is essential for understanding development and disease at scale, yet has remained a major experimental and computational barrier. Here we present Chromnitron, a multimodal foundation model that learns the rules of protein-DNA binding from protein sequence, DNA sequence, and context-specific chromatin states. Unlike prior single-task and multi-task learning approaches, Chromnitron implements a multimodal learning framework that accurately predicts the binding landscape for proteins and cell types not seen during training. Using Chromnitron, we discovered and experimentally validated new protein regulators of T cell exhaustion. Chromnitron also uncovered previously uncharacterized dynamic shifts in the binding landscape of regulatory proteins during neurogenesis. This marks a critical step toward a predictive model of interpretable gene regulatory programs across cell types, enabling rapid discovery of regulatory circuits and identification of new therapeutic targets.

systems biology↗

bioRxiv2025

Nanopore-Based Glycan Sequencing via Fragmentation-Reassembly Strategy

Glycan sequencing remains a major analytical challenge due to the high structural complexity, extensive branching, and isomeric diversity of glycans. Nanopore sensing has emerged as a promising single-molecule platform for glycan analysis, but existing strategies--such as hydrolysis and strand sequencing, face significant limitations when applied to highly branched or non-linear glycans. Here we report the first experimental realization of glycan assembly sequencing, a nanopore-based strategy that reconstructs full glycan structures from individually analyzed fragments. Using a biantennary complex-type N-glycan as a model, we performed controlled enzymatic digestion to generate structurally defined oligosaccharide fragments. An engineered -HL nanopore was developed for enhanced glycan recognition, enabling the construction of a multidimensional electrical fingerprinting library. Fragment signals from unknown samples were matched to this reference dataset, and full-sequence reconstruction was achieved via fragment reassembly based on set-theoretic integration of structural candidates. This study establishes glycan assembly sequencing as a viable and modular approach to resolve complex glycoforms using nanopore technologies. The method expands the accessible sequence space beyond what is achievable with conventional strategies and provides a foundation for scalable, high-resolution glycomic analysis.

bioengineering↗

bioRxiv2025

The epigenetic factor Zrf1 regulates intestinal stem cell proliferation during midgut regeneration

Stem cells are essential for tissue maintenance and regeneration, balancing self-renewal and differentiation to support homeostasis and repair. Through an RNAi screen in the Drosophila midgut, we identified the epigenetic factor Zrf1 as a critical regulator of intestinal stem cell (ISC) proliferation. Functional analyses reveal that Zrf1 integrates inputs from multiple signaling pathways and interacts with components of the RNA-induced silencing complex (RISC). Zrf1 mutants exhibit elevated expression of transposable elements (TEs) and chromatin disruption, highlighting a broader role in genome stability. Single-nuclei RNA sequencing (snRNA-seq) further demonstrated the influence of Zrf1 on chromatin organization and TE repression, particularly within stem cell progenitors. Our findings suggest that Zrf1 is potentially a key chromatin regulator necessary for maintaining stem cell proliferation and genome integrity, enhancing our understanding of the molecular controls underlying stem cell function and chromatin dynamics.

genetics↗

bioRxiv2024

CESA: Cross-species Epitope Sequence Analysis for discovery of existing antibodies useful for phospho-specific protein detection in model species

Signaling pathways play key roles in many important biological processes such as cell division, differentiation, and migration. Phosphorylation site-specific antibodies specifically target proteins phosphorylated on a given tyrosine, threonine, or serine residue. Use of phospho-specific antibodies facilitates analysis of signaling pathway regulation and activity. Given the usefulness of phospho-specific antibodies, a number of collections of these antibodies have been generated, typically for detection of phosphorylated mammalian proteins. Anecdotal evidence shows that some of these are also useful for detection of phosphorylated forms of orthologous proteins in model organisms. We propose that anti-phospho-mammalian protein antibody collections comprise an untapped resource for research in other species. To systematically analyze the potential utility of anti-phospho-mammalian protein antibodies in other species, we developed the Cross-species Epitope Sequence Analysis software tool (CESA). CESA identifies and aligns orthologous proteins in model species, then analyzes conservation of antibody target sites. We used CESA to predict what phospho-specific antibodies in a collection from Cell Signaling Technology (CST) might be useful for studies in Drosophila melanogaster and other species. CESA predicts that more than 232 sites on 116 Drosophila proteins can potentially be targeted by the antibodies initially developed at CST to detect human, mouse, or rat phosphoproteins.

bioinformatics↗

bioRxiv2024

Phage-displayed synthetic library and screening platform for nanobody discovery

Nanobodies, single-domain antibodies derived from camelid heavy-chain antibodies, are known for their high affinity, stability, and small size, which make them useful in biological research and therapeutic applications. However, traditional nanobody generation methods rely on camelid immunization, which can be costly and time-consuming, restricting their practical feasibility. In this study, we present a phage-displayed synthetic library for nanobody discovery. To validate this approach, we screened nanobodies targeting various Drosophila secreted proteins. The nanobodies identified were suitable for applications such as immunostaining and immunoblotting, supporting the phage-displayed synthetic library as a versatile platform for nanobody development. To address the challenge of limited accessibility to high-quality synthetic libraries, this library is openly available for non-profit use.

biochemistry↗

bioRxiv2024

Motor protein-assisted glycan translocation and sequencing using nanopores

The glycan sequencing remains a significant bottleneck in glycoscience. While nanopore platforms have achieved substantial progress in single-molecule nucleic acid sequencing, their application to glycan sequencing has faced considerable challenges, with limited advancements to date. In this study, we propose a novel strategy for controlling glycan translocation through the MspA nanopore as an initial step toward glycan sequencing. By conjugating the target glycan with a helicase-controlled single-stranded DNA, we successfully achieved sequencing reads of up to eleven glycans. For the first time, we isolated glycan-associated electrical signals, enabling the translocation, stretching, and controlled speed of neutral glycans through the nanopore. This method provides a platform for obtaining glycan read lengths and identifying different glycan modifications, demonstrating the capability to resolve monosaccharide composition and glycosidic linkages. To further improve resolution, we propose engineered M2-MspA to reduce the pore constriction size and enhance precision by minimizing the random thermal motion of the translocating glycan. These modifications are expected to increase the sequencing accuracy and reliability. This work represents the first proof-of-concept demonstration of glycan chain nanopore sequencing and lays a promising foundation for the development of single-molecule glycan fingerprinting and sequencing technologies. We anticipate that this approach will significantly advance the development and commercialization of nanopore-based glycan sequencing techniques.

bioengineering↗

bioRxiv2024

Combining Glycosidases and Nanopore Technology for Glycan Sequencing

The efficient characterization of glycan structures remains a critical challenge. Direct glycan sequencing technologies with improved sensitivity and throughput are still needed. Here, we propose a glycan sequencing strategy based on glycosidase -assisted nanopore sensing. We used engineered nanopore -hemolysin (M113R/T115A), which provided high-resolution discrimination of monosaccharide volume differences and sensitivity to variations in glycan chain length. By utilizing the specificity of glycosidases, we sequentially hydrolyzed the terminal residues of the glycan chains and detected the characteristic shifts in electrical signals generated by the translocation of hydrolysis products. The accuracy of recognition of hydrolysis fragments achieved over 90 % using machine learning. This allowed us to efficiently and conveniently determine the sequence of consecutive monosaccharide units in the glycan chains. Based on this principle, we conducted a proof-of-concept demonstration on actual samples and verified the accuracy via HPLC-MS. We achieved the sequencing of consecutive units in glycan chains, confirming the theoretical feasibility of glycosidase -assisted nanopore glycan sequencing. With future optimization, the development of arrayed nanopore glycan sequencing technology based on hydrolysis strategy will provide an innovative approach for rapid decoding of glycans, which could promote the progress of glycomics research and glycobiology.

biochemistry↗

bioRxiv2024

Characterization of tumor heterogeneity through segmentation-free representation learning

The interaction between tumors and their microenvironment is complex and heterogeneous. Recent developments in high-dimensional multiplexed imaging have revealed the spatial organization of tumor tissues at the molecular level. However, the discovery and thorough characterization of the tumor microenvironment (TME) remains challenging due to the scale and complexity of the images. Here, we propose a self-supervised representation learning framework, CANVAS, that enables discovery of novel types of TMEs. CANVAS is a vision transformer that directly takes high-dimensional multiplexed images and is trained using self-supervised masked image modeling. In contrast to traditional spatial analysis approaches which rely on cell segmentations, CANVAS is segmentation-free, utilizes pixel-level information, and retains local morphology and biomarker distribution information. This approach allows the model to distinguish subtle morphological differences, leading to precise separation and characterization of distinct TME signatures. We applied CANVAS to a lung tumor dataset and identified and validated a monocytic signature that is associated with poor prognosis.

cancer biology↗

bioRxiv2024

Machine Learning Uncovers Vascular Endothelial Cell Identity Genes by Expression Regulation Features in Single Cells

Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and many diseases involving cell identity dysregulation. Here, we introduce SCIG, a machine-learning method to uncover cell identity genes in single cells. In alignment with recent reports that cell identity genes are regulated with unique epigenetic signatures, we found cell identity genes exhibit distinctive genetic sequence signatures, e.g., unique enrichment patterns of cis-regulatory elements. Using these genetic sequence signatures, along with gene expression information from single-cell RNA-seq data, enables SCIG to uncover the identity genes of a cell without a need for comparison to other cells. Cell identity gene score defined by SCIG surpassed expression value in network analysis to uncover master transcription factors regulating cell identity. Applying SCIG to the human endothelial cell atlas revealed that the tissue microenvironment is a critical supplement to master transcription factors for cell identity refinement. SCIG is publicly available at https://github.com/kaifuchenlab/SCIG, offering a valuable tool for advancing cell differentiation, development, and regenerative medicine research.

bioinformatics↗