Biology subjects

Zhao, J.

Publications and source records attributed to Zhao, J..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

Ionic regulation of Gram-positive phage adsorption governs host range and improves phage isolation efficiency

Antimicrobial-resistant Staphylococcus aureus and S. epidermidis remain major causes of invasive infection, yet isolation of therapeutically robust lytic phages targeting Gram-positive pathogens is often constrained by adsorption barriers imposed by thick peptidoglycan cell walls. We demonstrate that these limitations are primarily methodological. By optimising the ionic microenvironment during isolation through divalent cation supplementation (10 mM CaCl2 and MgSO4), controlled enrichment, phage polyclonal mixtures, and limited lysozyme-assisted release, we recovered 28 genomically distinct lytic phages compared with six obtained using conventional protocols. Host-range profiling across 103 clinical isolates showed broad infectivity, with 51.7% of interactions supporting high-efficiency infection and multiple phages exhibiting cross-species activity. Ion-supplemented adaptive passaging restored and expanded lytic capacity against resistant strains within five rounds. These findings show that ionic regulation of adsorption reshapes Gram-positive phage-host dynamics and provide a scalable framework for precision targeting of resistant Staphylococcus infections.

microbiology↗

bioRxiv2026

A tunnel microtract organ for T cell progenitor homing is formed by neural crest morphogenesis via Sox10-Cdc42 axis

Thymic colonization by T cell progenitors (TCPs) is essential for adaptive immunity, yet the guiding tissues remain elusive. Here, we unveiled a tunnel microtract (TMT) as an organ indispensable in TCPs homing in both zebrafish and mouse. Disruption of TMT leads to compromised T cell development. Specifically, the zebrafish TMT were positioned bilaterally beneath the fifth branchial levator muscle, connecting the thymus and kidney. They are semi-coiled, non-vascular, non-lymphatic tubes of epithelial signatures. Impressively, Sox10 activates Cdc42 to promote F-actin remodeling in neural crest cells (NCCs), leading to precise elongation and tight packaging of a low-permeability TMT. Remarkably, a homologous CD34 TMT was observed in mice, which bilaterally enveloped the embryonic thymus and extended into the thyroid cartilage. Sox10-Cdc42 signalling functioned recapitulatively in NCC morphogenesis during its construction. These findings establish TMT as an unappreciated NCC-derived organ in TCPs homing, with implications in T cell development and immune disorders.

developmental biology↗

bioRxiv2026

Generation of a new immunodeficient rat model of retinal degeneration with LSL TdTomato reporter and TdTomato-Pcp2 expression

PurposeTo develop an immunodeficient retinal degenerate (RD) rat model with fluorescent label for studying retinal degeneration and transplant-host connectivity. MethodsGene constructs for CAG-LSL-TdTomato and Pcp2-Cre were developed and injected into rat embryos at Envigo. The LSL TdTomato reporter strain, created on immunodeficient RhoS334ter-3 rats (RRRC#539), was bred to homozygosity at UCI (strain SD-Foxn1rnuTg((Rho-S334X)3,CAG-TdTomato)1010Mjsuc, "RNT"). The second gene construct Pcp2-Cre was injected into Long-Evans (LE) rat embryos, resulting in two Pcp2-cre founders (strain PCP2 Cre-1105 RKI, "Pcp2"), with targeted and targeted/random insertion. Founders were mated with an LE male and a foxn1+/- NIH nude female. F1 offspring was bred to homozygosity and immunodeficiency. Homozygous rats of both strains were crossbred to generate TdTomato-Pcp2 RD ("RTP") rats. Retinas were processed for immunohistochemistry for various retinal markers. GFP-expressing rat retinas were transplanted to 6 week old "RTP" rats and analyzed 37 and 77 days post-surgery (pilot experiments). ResultsTdTomato-Pcp2 RD rats exhibit RD similar to the original Rho S334ter-3 rat strain, with < 1 row photoreceptors remaining at 1 month. Retinas with targeted Pcp2 insertion showed TdTomato in retinal interneurons and cones. Retinas with random Pcp2 insertion exhibited additional TdTomato in RPE, glial, and endothelial cells. Pcp2-TdTomato expression was useful to define transplant-host boundaries. ConclusionsWe created an unique RD rat model for studying retinal transplant connectivity. The RD LSL-TdTomato reporter rat can also be used to generate RD rats with other cell-specific labels using the cre/lox system. Translational relevanceThis newly created rat model is useful for cell therapy studies.

neuroscience↗

bioRxiv2026

Genome-wide maps of transcription factor footprints identify noncoding variants rewiring gene regulatory networks with varTFBridge

Genome-wide association studies have identified millions of noncoding loci linked to human traits, yet how these variants alter gene regulation remains a major challenge, particularly for rare variants where whole-genome sequencing cohorts and high-resolution functional annotations remain limited. Here we show that single-molecule deaminase footprinting (FOODIE) in K562 cells captures up to 103-fold heritability enrichment for erythroid traits despite covering 0.12% of the genome. We introduce varTFBridge, integrating FOODIE footprinting with AlphaGenome variant effect prediction to identify causal noncoding variants altering transcription factor (TF)-mediated regulation. Applied to 490,640 UK Biobank genomes across 13 erythrocyte traits, varTFBridge prioritises 113 high-confidence regulatory variants (104 common, 9 rare), encompassing 2,173 linkages along the variant-TF binding- gene-trait cascade across 64 TFs and 108 genes. varTFBridge recapitulates rs112233623 and resolves its mechanism: GATA1/TAL1 co-binding disruption at a CCND3 enhancer altering red blood cell count and volume.

bioinformatics↗

bioRxiv2026

Preclinical validation of AAV9-TECPR2 gene therapy in a novel knock-in model of TECPR2-related disorder

TECPR2-related disorder is a rare, autosomal recessive neurodevelopmental and neurodegenerative disease characterized by early-onset motor dysfunction, sensory- and autonomic neuropathy, and progressive neurological decline with early mortality. Currently, there are no effective treatments for individuals affected by this debilitating condition. To advance our understanding of disease mechanisms and explore therapeutic strategies, we developed and then characterized a knock-in (KI) mouse model carrying the human TECPR2 c.1319delC frameshift mutation. TECPR2-KI mice exhibit a subset of disease-relevant phenotypes, most prominently abnormal gait, along with reduced body weight and altered tactile sensitivity. We additionally observe a reduction in acoustic startle responses, consistent with dysfunction of brainstem-associated sensorimotor pathways. Histopathological analyses reveal progressive accumulation of axonal spheroids in the dorsal column nuclei, together with abnormalities in autophagy-related markers, features previously reported in individuals with TECPR2-related disorder. To assess the therapeutic potential of gene replacement, we delivered TECPR2 via intracisternal infusion of AAV9/TECPR2 in neonatal KI mice. Gene therapy restored mechanosensory function, normalized gait and startle responses, maintain autophagic homeostasis, and partially reduced axonal pathology. These findings demonstrate that TECPR2-associated deficits are not only replicable in this new mouse model but are also amenable to postnatal intervention. Our study introduces a genetically accurate murine model of TECPR2 deficiency, identifies brainstem-associated phenotypes, and provides preliminary evidence supporting the feasibility of AAV9-mediated TECPR2 gene delivery, establishing a foundation for future translational research in a currently untreatable disease. One-Sentence Key MessageTECPR2 deficiency disrupts brainstem sensory-motor circuits, impairing autophagy and tactile, gait, and startle function and is prevented by neonatal AAV9.

neuroscience↗

bioRxiv2026

Formalized scientific methodology enables rigorous AI-conducted research across domains

We formalize scientific methodology--the end-to-end process from question formulation to evidence-grounded writing--as a phase-gated research protocol with explicit return paths and persistent constraints, and instantiate it for general-purpose language models as executable protocol specifications. The formalization decomposes methodology into three complementary layers: a procedural workflow, an integrity discipline, and project governance. Encoded as protocol specifications$ and activated across the lifecycle, these constraints externalize planning and verification artifacts and make integrity-relevant interventions auditable. We validate the approach in six end-to-end projects, including a matched controlled study, where the same agent produced two complete papers with and without the protocol. Across domains, the protocol-constrained agent produced evidence-backed, auditable research outputs--including closed-form derivations, quantitative ablations that resolve modeling design choices, and algorithmic refactors that preserve the objective while changing the computational primitive. In population-genomic applications, it also recovered well-studied biological signals as validity checks, including known admixture targets in the 1000 Genomes Project and Neanderthal-introgressed immune loci on chromosome 21 consistent with prior catalogs. In the controlled study, the protocol-free baseline could still produce a complete manuscript, but integrity-relevant risks were easier to introduce and harder to detect when constraints and artifacts were absent.

bioinformatics↗

bioRxiv2026

Cost adjusted hierarchical defense strategies enables stratified oxidative stress tolerance

Organisms employ diverse adaptive strategies to withstand environmental stresses, yet how bacteria tailor their responses to different magnitudes of the same stressor remains poorly understood. This question is particularly salient for oxidative stress, which varies substantially across physiological niches and exerts distinct selection pressures on colonizing bacterial populations. Here, we used four separate adaptive laboratory evolutions of Escherichia coli across multiple paraquat concentrations and genetic backgrounds to dissect how cells adapt to varying levels of superoxide stress. Integrating multi-omic analyses with tailored genome-scale metabolic modeling, we identify two fundamentally distinct tolerance strategies based on flux control and cellular resource optimization. Under low superoxide stress, blocking polyamine transporter that is hijacked for paraquat influx suffices to maintain redox balance. In contrast, higher stress levels activate an energetically demanding program involving enhanced detoxification of reactive radicals and active efflux that allows cells to maintain higher aerotype. We further demonstrate that flux regulation establishes a primary defense layer, upon which metabolic repair systems act to provide additional fitness advantages. Together, our findings reveal how E. coli differentially engages modular stress-response programs depending on stress magnitude, offering generalizable insights into the principles governing dynamic bacterial adaptation.

microbiology↗

bioRxiv2026

Enabling Megascale Microbiome Analysis with DartUniFrac

We introduce a new algorithm, DartUniFrac, and a near-optimal implementation with GPU acceleration, up to three orders of magnitude faster than the state of the art and scaling to millions of samples (pairwise) and billions of taxa. DartUniFrac connects UniFrac with weighted Jaccard similarity and exploits sketching algorithms for fast computation. We benchmark DartUniFrac against exact UniFrac implementations, demonstrating that DartUniFrac is statistically indistinguishable from them on real-world microbiome and metagenomic datasets.

bioinformatics↗

bioRxiv2026

Real-Time Cell Analysis Reveals Distinct Roles of S100A4 in Regulating Proliferation, Migration, and Invasion of JAR Choriocarcinoma Cells

S100A4, a metastasis promoting calcium binding protein, drives tumor progression through pleiotropic mechanisms, yet its context dependent functions in gestational malignancies remain elusive. To dynamically decode its role in choriocarcinoma pathogenesis, we leveraged label free real time cell analysis (RTCA) to profile malignant phenotypes in JAR cells following siRNA mediated S100A4 silencing, complemented by apoptosis assessment and targeted signaling profiling. Efficient knockdown (verified by qPCR/Western blotting) significantly attenuated cellular proliferation (96 hr cell index slope decreased vs. scramble control; p<0.01) and suppressed migration capacity (p<0.01). Critically, S100A4 depletion did not induce apoptosis (flow cytometry and cleaved caspase 3/9 blotting confirmed no significant change), and invasion through Matrigel coated membranes remained statistically unaltered despite comparable experimental rigor. Mechanistically, S100A4 silencing triggered adaptive signaling rewiring: IRS1 and PI3K expression were elevated, Akt1 was suppressed, while MEK1/2 remained unchanged suggesting compensatory pathway activation.

cell biology↗

bioRxiv2026

A human gut-BBB-brain microphysiological model for studying neurodegenerative diseases

The gut-brain axis has emerged as a crucial factor in neurodegeneration, with growing evidence linking gut dysbiosis and metabolic dysfunction to Alzheimers disease (AD) progression. Unfortunately, the lack of human-relevant in vitro models limits our ability to effectively explore the mechanism of this axis. To address this gap, we have developed a human induced pluripotent stem cell (iPSC)-derived gut-blood-brain barrier (BBB)-brain microphysiological system that enables systematic investigation of gut-brain interaction in the context of AD under controlled conditions. Our findings reveal that the interaction between gut and brain organoids can promote the maturation of brain organoids, making them more similar to their physiological characteristics in vivo. Additionally, co-culture gut and brain organoids better recapitulates the pathological features of AD. We also discovered that gut organoids of AD can trigger neurodegenerative disease manifestations in healthy brain organoids. In summary, our microphysiological system provides a novel and versatile in vitro platform for studying the interaction between the gut and brain in neurodegenerative diseases.

neuroscience↗

bioRxiv2026

Intracellular Delivery of Peptides and Proteins with an Engineered Membrane Translocation Domain

Antibodies and other protein therapeutics have revolutionized medicine, but their application is largely limited to extracellular targets. The lack of efficient intracellular delivery methods remains a major bottleneck. Here, we engineered a family of small ([~]90 amino acids), metabolically stable membrane translocation domains (MTDs) by modifying the loop sequences of a human fibronectin type III (FN3) domain. The most potent variant, MTD4, is highly cell-permeable and can be recombinantly fused to the N- or C-terminus of any peptide or protein, serving as a versatile "plug-and-play" vehicle. We demonstrate that MTD4 fusions efficiently deliver a wide variety of functional peptides and proteins into the cytosol and nucleus of eukaryotic cells, both in vitro and in vivo. Following systemic administration, MTD4 fusion proteins exhibit broad biodistribution and homogenous tissue penetration in mice. Importantly, MTD4 is effective at low nanomolar (nM) concentrations, making it a promising platform for addressing a vast range of intracellular and previously "undruggable" targets.

bioengineering↗

bioRxiv2026

A Lightweight Dual-Attention Neural Network for In-Situ Hyperspectral Classification of Microalgae

Accurate monitoring of microalgae is essential for assessing marine ecological health and preventing harmful algal blooms in ocean engineering. Current in situ identification methods often suffer from limited discriminative feature extraction and inadequate adaptation to complex underwater imaging conditions. This study introduces a lightweight dual-attention neural network, termed ANMM, designed for real-time, in situ hyperspectral classification of microalgae within integrated underwater monitoring systems. The model strengthens a deepened AlexNet backbone with multi-head latent attention (MLA) and multi-head self-attention (MSA) mechanisms, which jointly enhance local feature refinement and global spectral dependency modeling. An early-stopping strategy is further incorporated to prevent overfitting and ensure robust generalization. Evaluated on a custom dataset of field-collected fluorescence spectra, the model achieves a classification accuracy of 98.91%, outperforming several state-of-the-art deep-learning counterparts. With a compact parameter size of 16.34 M and low-latency inference on edge hardware, the system demonstrates strong potential for deployment on embedded underwater sensing platforms. This work provides a practical and efficient AI-driven solution for continuous marine microalgae monitoring, supporting advances in ocean observation technology and ecological engineering.

microbiology↗

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

WUSCHEL modulates jasmonate signaling to control the balance between growth and defense in the shoot apical meristem

The growth-defense trade-off is an essential survival strategy for plants under environmental stress. However, how this balance is maintained at the meristematic level remains unclear. Here, we show that wounding of rosette leaves systemically inhibits inflorescence stem growth, associated with reduced cell proliferation in the inner cell layers of the shoot apical meristem (SAM), but not in the apical stem cell domain. Mechanistically, this selective cell behavior is dependent on the interplay between the growth-repressing jasmonate (JA) signaling and the growth-promoting stem cell regulator WUSCHEL (WUS). WUS mitigates wounding-induced growth inhibition by repressing JA-responsive gene expression via promoting the accumulation of JASMONATE-ZIM DOMAIN 3 (JAZ3), which encodes a JA signaling repressor. WUS on the one hand induces JAZ3 mRNA accumulation and on the other hand directly competes with the JA receptor CORONATINE INSENSITIVE1 (COI1) for JAZ3 binding, thereby inhibiting JAZ3 protein degradation. Our findings identify a WUS-JAZ3-COI1 regulatory module that coordinates the growth-defense balance in the SAM upon systemic wounding, revealing a cell-type-specific mechanism for sustaining developmental robustness of the meristem during stress response.

plant biology↗

bioRxiv2026

Organoid-Based Transcriptomics Indicate IFIT-Associated Immune Modulation during Cryptotanshinone Treatment in Bladder Cancer

Bladder cancer (BC), particularly muscle-invasive and metastatic disease, remains a major clinical challenge despite recent advances in immunotherapy. In this study, we aimed to identify a promising antitumor compound from five candidate small molecules and to explore its potential roles in BC progression. Through antiproliferative screening, cryptotanshinone (CTS) was identified as the promising candidate. Using both two-dimensional BC cell lines and three-dimensional bladder tumor organoid models, we comprehensively evaluated the effects of CTS on cell proliferation, migration, apoptosis, and organoid growth. To further explore the underlying mechanisms, transcriptomic sequencing based on bladder cancer organoid models, protein-protein interaction network analysis, and public databases (TCGA-BLCA, TIMER, and TISIDB) were integrated to examine immune-related pathways and potential molecular targets associated with CTS. GeneMANIA network prediction and molecular docking analyses were subsequently performed to investigate upstream regulatory networks and the potential interactions between CTS and key components of the cGAS-STING-IFN-I-JAK-STAT signaling pathway. Integrative analyses suggested that IFIT1, IFIT2, and IFIT3 may function as immune-associated genes potentially linked to BC progression, patient prognosis, immune cell infiltration, and PD-1/PD-L1 expression. Molecular docking results suggested that CTS may interact with core regulatory proteins within the cGAS-STING-IFN-I-JAK-STAT pathway, potentially influencing IFIT transcriptional regulation. Collectively, these findings indicate that CTS exhibits measurable antitumor and immunomodulatory effects, which may be associated with modulation of the cGAS-STING-IFN-I-JAK-STAT-IFIT signaling axis, supporting its potential as a small-molecule candidate for bladder cancer.

cancer biology↗

bioRxiv2026

BRD8 Disruption Unlocks Retrotransposon-Driven Tumor-Intrinsic Immunogenicity via Redistribution of Histone Acetylation in Liver Cancer

Overall response rate for immune checkpoint blockade (ICB) therapy remains limited in advanced hepatocellular carcinoma (HCC). Epigenetic perturbation has been shown to enhance tumor-intrinsic immunogenicity and thus reverse resistance to immunotherapy in multiple cancer types. Here, through domain-focused CRISPR/Cas9 genetic screens targeting chromatin regulators, we identified the bromodomain-containing protein 8 (BRD8) as a novel epigenetic factor that functions to suppress tumor-intrinsic immunity through BRD8/EP400 chromatin remodeling complex in HCC. Depletion of BRD8 potently induces anti-tumor immune responses and sensitizes tumors to ICB therapy in mouse tumor models. Mechanistically, BRD8 knockout leads to partial redistribution of H3K27ac to repetitive elements, activating double-stranded RNA (dsRNA) accumulation and subsequent type I interferon (IFN) response, leading to tumor rejection via remodeling the tumor microenvironment. The first-in-class selective chemical probe DN02 targeting the bromodomain of BRD8 also exhibits immunomodulatory and anti-tumor effects. In line with these findings, low BRD8 expression correlated with enriched interferon signatures, elevated immune cell infiltration, and prolonged survival in HCC patients. Together, this study reveals BRD8 as a selective epigenetic vulnerability for promoting tumor immunogenicity, and its bromodomain as a druggable target to overcome immunotherapy resistance in liver cancer patients. SignificanceThe induction of viral mimicry by epigenetic interference could trigger tumor-intrinsic immune response and enhance immunotherapy efficacy. Here, through domain-focused CRISPR/Cas9 screening, we identify BRD8 complex as a regulator involved in the suppression of repetitive elements by controlling H3K27ac distribution and propose BRD8 as a novel target to enhance anti-tumor immunity.

cancer biology↗

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

Covalent Leader Peptide Probes Enable Proteome-Level Mapping of RiPP Enzymes beyond Biosynthetic Gene Clusters

Genome-based analyses have enabled widespread discovery and biosynthetic annotation of ribosomally synthesized and post-translationally modified peptides (RiPPs) pathways, yet often fail to capture all participating enzymes, particularly those encoded outside canonical biosynthetic gene clusters. In this study, leveraging the central role of leader peptides (LPs) in RiPP enzyme-substrate recognition, we developed a substrate-guided chemical-proteomic strategy using covalent LP probes to directly identify LP-binding enzymes from native proteomes. Using the LctA-LctM and PatE-LynD systems, we demonstrate that LP probes carrying a photocrosslinker engage enzymes at their authentic LP-recognition sites while preserving full catalytic competence. Application of this strategy to a model strain Streptomyces sparsogenes uncovered lanthipeptide synthetases encoded outside canonical biosynthetic gene clusters and revealed graded cross-cluster activities among multiple RiPP pathways. This work establishes a proof-of-concept model platform for proteome-level discovery of LP-binding RiPP enzymes and highlights cross-cluster enzymatic crosstalk as a latent mechanism for structural diversification.

biochemistry↗