Biology subjects

Wei, F.

Publications and source records attributed to Wei, F..

At least 19 recordsLinked to original sources

bioRxiv2026

An integrated multimodal pan-organ atlas of the female reproductive system across the lifespan contextualises gynaecological pathologies

Single cell transcriptomics has transformed our knowledge of reproductive tissues, yet studies remain largely organ-specific and temporally limited, leaving an incomplete picture of how cell types are distributed across the reproductive system over a lifetime. Gynaecological conditions affect more than one in four females and frequently span multiple organs and life stages. To advance our understanding and treatment of these conditions, an integrated cellular reference is essential. Here we present the Human Female Reproductive System Cell Atlas v1: a single-cell transcriptomic resource integrating more than 2M cells across the ovary, fallopian tube, uterus, cervix and vagina over the lifespan and menstrual cycle, further integrated with spatial transcriptomics and chromatin accessibility profiling to define 210 cell types through community-based annotation. Cross-organ integration resolves shared and organ-specific cellular states, identifying uterine-specific perivascular populations lining uterine spiral arteries, hypoxia-sensing type 3 innate lymphoid cells (ILC3s) enriched in the uterus, and lipid-associated macrophages with distinct subsets in each reproductive organ, including a previously undescribed population shared between the uterus and fallopian tube. Cross-organ integration enables detection of ectopic epithelial populations in otherwise healthy donors, including endometrial-like cells within a paediatric ovary consistent with early endometriosis. Integration with genome-wide association studies (GWAS) reveals that risk variants for major gynecological conditions act in mesenchymal cell states defined by specific transcriptional programmes and spatial or temporal context - for instance, heavy menstrual bleeding risk is enriched in basal fibroblasts (SFRP5) of the regenerative endometrial compartment. An integrated chromatin accessibility atlas provides peak-to-gene maps across reproductive cell types, enabling nomination of disease effector genes and providing the first regulatory evidence linking a Polyendocrine Metabolic Ovarian Syndrome (PMOS) risk locus to INHBB in granulosa cells. Together, this resource establishes a cellular and molecular framework for reproductive biology and the pathogenesis of neglected gynaecological conditions.

Cell Biology↗

bioRxiv2026

Oxidized protein states define metastatic fitness in lung cancer

AbstractReactive oxygen species (ROS) are a pervasive feature of human cancers, yet the protein targets through which ROS-regulated cell states shape tumor biology remains poorly understood. Here, using cysteine chemical proteomics, we define signatures of protein states under distinct cellular ROS environments that capture protein oxidation and conformational changes. Quantifying these signatures in primary lung tumors and brain metastases revealed a surprising enrichment of oxidative states in metastasis. To determine how these states support fitness, we performed genome-wide CRISPR screens and identified the mitochondrial Complex I subunit NDUFA10 as a key oxidation-dependent vulnerability. Oxidation of NDUFA10*Cys253 supports Complex I function through a previously unrecognized nucleotide kinase activity that maintains mitochondrial DNA levels. Enforcing a reduced conformation in NDUFA10 disrupts brain metastatic colonization in vivo. These findings establish ROS regulated protein states as a functional layer of tumor fitness, providing a framework for identifying redox-dependent mechanisms that support cancer progression.

Cancer Biology↗

bioRxiv2026

Small extracellular vesicles mediate the antihyperalgesic effect of bone marrow stromal cells: the role of "priming"

Multipotent mesenchymal stem cells (MSCs) including bone marrow stromal cells (BMSCs) have shown analgesic efficacy in recent years. Studies suggested that the therapeutic effect of MSCs was mediated by their secreted small extracellular vesicles (sEVs) mainly exosomes. The present study evaluated the antihyperalgesic effect of BMSC-related sEVs in a mouse model of neuropathic pain involving chronic constriction injury of the infraorbital nerve (CCI-ION). Our separation protocol generated EV particles mostly sized in the range of exosomes (30-170 nm) and express exosome marker proteins CD9, CD81, and Tsg101, suggesting their endosome origin. We show that intravenous injection of BMSC-related sEVs attenuated pain hypersensitivity induced by CCI-ION as indicated by decreased mechanical hypersensitivity (von Frey test) and reduced aversion to noxious stimulation (conditioned place avoidance test). The antihyperalgesic effect of sEVs was observed in both female and male animals, and the effect was dose-dependent. sEVs from NAIVE serum-treated BMSC cultures produced short-lasting antihyperalgesia in male but not female mice, suggesting a subtle sex difference. The antihyperalgesia of sEVs from BMSC culture was blocked by the pretreatment of the culture with GM4869, the antagonist of exosome secretion, suggesting that the effect was not related to other co-isolated soluble mediators but mediated by MSC-derived exosomes. Interestingly, the prior injury condition in which sEVs were isolated favors the pain-relieving effect of sEVs. sEVs isolated from the serum of BMSC-treated animals receiving tendon ligation (TL) injury attenuated hyperalgesia for 24 h, while sEVs from the serum of BMSC-treated NAIVE animals only attenuated hyperalgesia at 3 h after injection. sEVs from the BMSC culture treated with the serum of TL rats were antihyperalgesic, but sEVs from the BMSC culture treated with the serum of naive animals were ineffective. Our results indicate that BMSC-related sEVs produced antihyperalgesia similar to that produced by BMSCs. The results suggest that the interactions between BMSCs and injury conditions are crucially important for producing efficacious sEVs/exosomes and support that the effect of sEVs could be optimized by priming BMSCs with injury-related conditions.

neuroscience↗

bioRxiv2026

Pathway-informed Universal Domain Adaptation for Single-cell RNA-seq Data

The rapid accumulation of single-cell atlases has yielded datasets of unprecedented scale, encompassing samples across diverse platforms, locations and laboratories. This multidimensional complexity drives an urgent need for universal domain adaptation methods capable of achieving precise cell-type annotation. However, existing methods lack computational scalability and fail to integrate biological priors. Here, we develop scPathOT, a pathway-informed universal domain adaptation framework that leverages pathway activation transformations to harmonize single-cell datasets across disparate conditions. We demonstrate the versatility of scPathOT across diverse technological platforms, tissues, disease contexts, cellular senescence and treatment conditions. Crucially, this pathway-informed alignment not only accurately resolves cellular identities but also uncovers functional mechanism. In pancreatic islets, scPathOT delineates a shared stress-repair axis traversed by {beta}-cells prior to their divergence into type 1 and type 2 diabetes-specific states. In aging bone marrow, scPathOT disentangles lineage-specific senescence modules that unexpectedly converge onto unified inflammatory and oxidative-stress programs. Furthermore, application to an in-house pancreatic ductal adenocarcinoma cohort uncovers the mechanistic basis underlying the neoadjuvant chemotherapy-induced reorganization of stromal-immune crosstalk. By coupling biological priors with universal domain adaptation, scPathOT provides a scalable, mechanistically interpretable framework to accelerate biological discovery from atlas-level single-cell data.

bioinformatics↗

bioRxiv2026

Epithelial Glutamate Retention Protects against Colitis

Inflammatory bowel disease (IBD) is a chronic inflammatory disorder of the gastrointestinal tract that encompasses ulcerative colitis and Crohns disease. Here we identify the cystine/glutamate antiporter xCT as being markedly upregulated in the inflamed intestinal epithelium of patients with IBD. To clarify its functional contribution to disease pathogenesis, we performed genetic loss-of-function study and found that inhibition of xCT confers robust protection against dextran sulfate sodium (DSS)-induced colitis in mice. Intestinal epithelial cell (IEC)-specific deletion of xCT markedly attenuated colitis severity, demonstrating that epithelial xCT upregulation acts as a disease-exacerbating factor in IBD. Mechanistically, xCT deficiency preserved intracellular glutamate levels and protein polyglutamylation, thereby maintaining epithelial barrier integrity and protecting IECs from inflammatory injury. Consistently, pharmacological inhibition of glutamine synthetase, which increases intracellular glutamate, exerted a potent anti-inflammatory effect on the DSS-induced colitis. These findings identify intracellular glutamate retention in IECs as a previously unrecognized mechanism of epithelial protection and highlight both inhibition of xCT-dependent glutamate efflux and suppression of glutamine synthetase as potential therapeutic strategies for IBD.

molecular biology↗

bioRxiv2026

Protein Language Modeling and Evolutionary Analysis Reveal an N-terminal Determinant of Functional Divergence in Cytochrome P450s from Sophora. tonkinensis

The N-terminal membrane anchor of cytochrome P450s is essential for function yet exceptionally variable--a paradox resistant to alignment-based analysis. Using an alignment-free protein language model (ESM2) pipeline on 345 Sophora tonkinensis P450s, we show the N-terminal 50 residues evolve under pervasive neutral relaxation (mean dispersion 0.62), punctuated by a single constrained island: a PxxG structural hinge (P21, G24 conserved at 98%/99%). Despite lacking sequence-level constraint, embedding-space decomposition resolves this scaffold into two separable channels. DIVA (unsupervised) captures a topological template encoding membrane-anchoring architecture, validated by physicochemical correlations recapitulating ER signal-anchor insertion and confirmed by DeepLoc- 2.1. PIVOT (supervised ablation) captures a family-associated signal whose peak position distinguishes CYP families ({varepsilon}2 = 0.44, permutation p < 0.0001) despite label-free training. The channels are largely separable: PIVOT peaks lie downstream of DIVA peaks in 84.4% of proteins, with mutually exclusive signal-loss sets. The P450 N-terminus thus integrates membrane-topological and family-identity information within a single relaxed region. Neutral evolution is reframed not as absence of information, but as the condition enabling multiplexed functional encoding--a mechanistic rationale for the functional importance of this variable anchor.

plant biology↗

bioRxiv2026

Tissue- and Age-Specific Transcriptomic and Metabolomic Analysis Reveals Regulatory Mechanisms of Ginsenoside Biosynthesis in Panax notoginseng

Ginsenosides are the primary bioactive compounds in Panax notoginseng, but the transcriptional mechanisms governing their tissue- and age-dependent accumulation remain elusive. Here, we integrated targeted metabolomics with transcriptome profiling across four tissues (root, stem, leaf, and flower) and three developmental stages (1-3 years) to investigate the spatiotemporal regulation of ginsenoside biosynthesis. We observed distinct tissue- and age-specific accumulation patterns: roots exhibited a progressive increase in total ginsenoside content during the second and third years, while flowers preferentially accumulated rare protopanaxadiol-type ginsenosides such as Rg3-2. Transcriptomic analysis revealed extensive differential gene expression across tissues and stages, particularly in roots during late development. Clustering and transcription factor (TF) enrichment analyses identified multiple tissue-associated regulatory modules. Four TFs--AT3G12130, SPL9, MYB33, and SPL1--emerged as core candidates based on coordinated expression, promoter motif enrichment, and functional annotation of predicted target genes. Motif analysis further linked these TFs to key biosynthetic genes involved in triterpenoid oxidation and glycosylation, including CYP716A53v2 and CYP716A47. Together, these findings suggest that tissue-specific ginsenoside accumulation in P. notoginseng is associated with coordinated transcriptional regulation of biosynthetic enzymes. This study provides a transcriptomic framework for understanding spatial regulation in ginsenoside biosynthesis and identifies candidate regulators for future functional validation and metabolic engineering.

plant biology↗

bioRxiv2026

A distal CTCF-binding site drives MYC expression plasticity in a negative feed-forward loop

Oncogene expression heterogeneity systemically diversifies cancer cell phenotypes, enabling selection and cancer evolution. Here we document that the level of MYC expression variation is coordinated by a negative feed-forward loop involving the non-coding CCAT1 eRNA and the MYC gating process. While CCAT1 eRNA indirectly antagonizes MYC gating by promoting MYC transcriptional initiation and elongation, the MYC protein promotes gated MYC expression in a feedback loop by inhibiting both MYC transcription and CCAT1 expression. This entire process is coordinated by a CTCF binding site positioned within CCAT1 at a distal, oncogenic super-enhancer, which functions as a master switch by coordinating both CCAT1 and gated MYC expression to diversify cells toward both low and high MYC levels, as determined by heterogeneity metrics. As hallmarks of this principle are frequent in breast cancer and colorectal tumors, the dynamics of this new principle may underlie transitions between therapy-resistant low-MYC, and proliferative high-MYC tumor cells. Highlights- Transcriptional rate regulates MYC gating frequency - CCAT1 expression indirectly inhibits MYC gating by promoting MYC transcription - High MYC protein levels promote gated expression by inhibiting both MYC transcription and CCAT1 expression - These features are controlled by a single CTCF binding in the distant super-enhancer to drive expression plasticity in colorectal cancer cells

cancer biology↗

bioRxiv2025

Gut metabolism links precision nutrition, exercise, and healthspan in Drosophila melanogaster

Longevity-promoting interventions commonly entail functional trade-offs, raising the unresolved question of whether lifespan extension necessarily compromises physiological performance. Here, utilizing a chemically defined diet (CDD) in Drosophila melanogaster, we systematically evaluated a multimodal intervention combining methionine restriction (MR), taurine supplementation (Tau), and moderate exercise. This combinatorial approach synergistically extended lifespan, preserved reproductive capacity, and improved locomotor function. Integrative targeted metabolomics and stable isotope tracing revealed increased mitochondrial tricarboxylic acid (TCA) cycle flux and enhanced redox homeostasis in the gut as central metabolic features. Notably, Lactobacillus plantarum was identified as a key microbial mediator responsive to dietary and behavioral stimuli, potentially coordinating host energy metabolism and maintaining physiological integrity. Together, these observations outline a "nutrition-behavior-microbiota" framework that uncouples the traditional trade-off between lifespan and functional health, offering new perspectives for promoting healthy aging.

physiology↗

bioRxiv2025

Insectivores exhibit superior microbial transmission efficiency and elevated zoonotic risk by 2035 relative to rodents and bats

Wild small mammals represent critical sources of zoonotic infections due to their high diversity, global distribution, and proximity to humans. Nevertheless, significant knowledge gaps persist in characterizing pan-taxonomic microbial richness and sharing dynamics, particularly regarding ecologically critical yet understudied Eulipotyphla (true insectivores). Here we take a macroecological approach to compare how microbial hosting and transmission differ across insectivores, rodents, and bats, and what ecological factors drive such disparities. We find that insectivores host comparable microbial richness to rodents and bats while exhibiting superior intra- and cross-order transmission efficiency. Urban adaptation, geographic range area, and longevity are shared drivers of microbial richness and transmission across these host orders, while greater body mass and shorter gestation time specifically are positive predictors of these outcomes within insectivores. Climate change projections identify insectivores as primary transmission hosts in new high-latitude hotspots by 2035, including parts of the US, Canada, and Russia, posing greater zoonotic threats than rodents or bats. Our findings challenge the prevailing paradigm that prioritizes rodents and bats as special zoonotic reservoirs, establishing insectivores as critical but overlooked players in disease ecology. Collective proactive surveillance of insectivores, rodents, and bats is imperative for forecasting emerging zoonotic threats and informing global risk assessment frameworks.

ecology↗

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

Bromodomain protein IBD1 bridges histone acetylation and H2A.Z deposition to fine-tune transcription and prevent hyperactivation in Tetrahymena thermophila

Eukaryotic gene expression is dynamically regulated through the interplay between histone modifications and chromatin remodeling, yet how these processes are coordinated remains incompletely understood. Here, we identify IBD1 as a critical adaptor that bridges histone acetylation and SWR-mediated H2A.Z deposition. We demonstrate that the bromodomain of IBD1 recognizes histone acetylation, specifically H3K9/14 di-acetylation to recruit the SWR complex subunit ARP6, ensuring precise H2A.Z incorporation into chromatin. Genetic disruption of IBD1, either by deletion or bromodomain mutation, attenuates H2A.Z occupancy at target loci, confirming its essential role in H2A.Z deposition. Strikingly, perturbation of the histone acetylation-IBD1-H2A.Z axis triggers transcriptional hyperactivation, revealing a dual function of H2A.Z in sustaining basal transcription while preventing aberrant gene induction. This defines a novel regulatory paradigm in which IBD1 couples acetyl-mark decoding to SWR-dependent H2A.Z deposition, establishing transcriptional homeostasis. Our findings resolve a central ambiguity by demonstrating that H2A.Z acts as a repressive buffer in highly acetylated regions, counterbalancing the inherent activation potential of acetylation. This study provides a framework for investigating H2A.Z functions and reveals new perspectives on how chromatin modifications and histone variants interplay in transcriptional regulation.

genetics↗

bioRxiv2025

Spatial geometry-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics

Recent advances in spatially resolved transcriptomics have enabled high-throughput gene expression profiling while preserving spatial context, thereby facilitating the investigation of spatial heterogeneity within tissues. Here, we present SpatialGEO, a spatial geometry-aware deep learning framework designed to decipher tissue organizational structures through dual-encoder feature extraction and geometric graph learning. Experimental results demonstrate the superior accuracy of SpatialGEO in identifying spatial regions across datasets encompassing diverse biological contexts and spatial resolutions. Moreover, SpatialGEO uncovers key mechanisms of immune evasion and regulation within the tumor microenvironment and provides novel biological insights into mouse embryonic development.

bioinformatics↗

bioRxiv2025

A Multimodal Graph Learning Framework for Versatile Spatial Transcriptomics Analysis with SpatialModal

The development of spatial transcriptomics(ST) technologies enables the exploration of tissue structure and cellular function within a spatial context. However, mainstream analytical methods primarily focus on the gene expression modality itself and struggle to fully leverage auxiliary information from histological images, which limits precise dissection of complex biological structures. To address this, we propose SpatialModal, a multimodal graph learning framework that effectively integrates gene expression data and histological images from spatial transcriptomics to construct unified spatial representations. SpatialModal effectively captures synergistic interactions between modalities by jointly modeling intra- and inter-modal complementary features while incorporating spatial adjacency information. Furthermore, it employs a dual contrastive learning strategy to enhance the discriminative power of representations, thereby enabling efficient and robust analysis of tissue structures. We validate the effectiveness of this approach on multiple public datasets covering diverse tissue types, species, and resolutions. Experiments demonstrate that SpatialModal exhibits significant advantages in downstream tasks, including spatial domain identification, gene expression reconstruction, and pseudotime inference, and accurately elucidates the hierarchical structure of the mouse cortex as well as the metabolic-immune dynamic boundaries in the breast cancer microenvironment. Additionally, SpatialModal shows exceptional robustness in single-cell resolution and multi-slice integration tasks, providing an efficient and broadly applicable analytical tool for spatial transcriptomics research.

bioinformatics↗

bioRxiv2025

MNetClass: A Control-Free Microbial Network Clustering Framework for Identifying Central Subcommunities Across Ecological Niches

Investigating microbiome subnetworks and identifying central microbes in specific ecological niches is a critical issue in human microbiome studies. Traditional methods typically require control samples, limiting the ability to study microbiomes at distinct body sites without matched controls. Moreover, some clustering methods are not well-suited for microbial data and fail to identify central subcommunities across ecological niches after clustering. In this study, we present MNetClass, a novel microbial network clustering analysis framework. It utilizes a random walk algorithm and a rank-sum ratio-entropy weight evaluation model to classify key subnetworks and identify central microbes at any body site without the need for control samples. By applying MNetClass to microbiome data from five distinct oral sites, we successfully uncovered site-specific microbial subgroups and their central microbes. Additionally, simulations and Autism Spectrum Disorder (ASD) cohort datasets demonstrated that MNetClass outperforms existing unsupervised microbial clustering methods in terms of both accuracy and predictive power. In case studies, MNetClass identified age-related microbial communities across different oral sites, highlighting its broad applicability in microbiome research. IMPORTANCEMNetClass provides a valuable tool for microbiome network analysis, enabling the identification of key microbial subcommunities across diverse ecological niches. Implemented as an R package (https://github.com/YihuaWWW/MNetClass), it offers broad accessibility for researchers. Here, we systematically benchmarked MNetClass against existing microbial clustering methods across multiple datasets using various performance metrics, demonstrating its superior efficacy. Notably, MNetClass operates without the need for control groups and effectively identifies central microbes, highlighting its potential as a robust framework for advancing microbiome research.

bioinformatics↗

bioRxiv2025

Engineering low pH-tolerant Komagataella phaffii for industrial-ready itaconic acid production via methanol biorefinery

Methanol biorefinery stands as a cornerstone strategy in the pursuit of sustainable biochemical production from non-food feedstocks. Despite its vast potential, bioconverting methanol into high titer biochemical production remains a formidable challenge. In this study, we have successfully engineered Komagataella phaffii to efficiently produce itaconic acid (IA), one of the top 12 building block chemicals, utilizing methanol as the sole carbon source. Our approach involved strategic metabolic engineering interventions--such as enhancing the supply of cis-aconitate and citrate precursors, minimizing isocitrate diversion, facilitating efficient formaldehyde assimilation, and optimizing IA export mechanisms--culminating in an unprecedented IA titer of 103.8 g/L in a 5-L bioreactor through fed-batch fermentation at pH 5.5. Remarkably, even at a reduced pH of 3.5, the strain still yielded 50.4 g/L of IA, highlighting the industrial viability of methanol biorefinery. This systematic work lays a robust foundation for high-titer production via methanol biorefinery, offering valuable insights for future research and applications.

synthetic biology↗

bioRxiv2024

Risk assessment of zoonotic viruses in urban-adapted wildlife

The repeated emergence of pandemic viruses underscores the linkages between land-use change and wildlife disease, and urban-adapted wildlife are of special interest due to their close proximity to humans. However, viral diversity within urban-adapted species and their zoonotic potential remains largely unexplored. We compiled a large dataset on seven priority urban-adapted mammal species and their viruses covering over 115 countries from 1574 to 2023. These urban-adapted species host 286 virus species spanning 24 orders and 38 families, 14 of which are potentially high risk for human infection. Raccoons carried the most high-risk viruses, while raccoon dogs had increased viral positivity in urban habitats compared to raccoons, wild boars, and red foxes. Many viruses in urban-adapted species were phylogenetically related to those found in humans, and we also observed evidence of possible viral spillback. These results highlight zoonotic risks associated with urban-adapted species and suggest enhanced surveillance to mitigate future outbreaks.

ecology↗

bioRxiv2024

Unveiling the diversity, transmission, and zoonotic potential of microbes in true insectivores

The Eulipotyphla (true insectivores) is the third largest mammalian order, comprising over 500 species, and could be an important source of human infectious diseases. However, relatively little is known about the diversity of microbes in insectivores and the contribution of insectivores to virus transmission more specifically among wild hosts. In this study, we compiled a comprehensive dataset containing over 400,000 records of insectivores and their associated microbes from 1903 to 2023. Our analyses showed that insectivores host a wide spectrum of 941 microbes, 60% of which are viruses and are predominantly found in the shrew and hedgehog families. Notably, human-associated viruses harbored by shrews and hedgehogs were phylogenetically closely related to those found in humans, suggesting potential bidirectional transmission between insectivores and humans. Moreover, virus-sharing networks revealed that insectivores held the second-most central position for virus sharing, just second to bats, among all mammalian orders. Insectivores had a high proportion of cross-order transmitted viruses, including many human-associated viruses. Dietary diversity, habitat diversity, and distributional traits (e.g. geographical range size, mean latitude, and urban adaptation status) emerged as the key ecological factors contributing to this cross-species virus transmission. Our findings highlight the microbial diversity present in insectivores, indicating this order may act as potential incubators for novel viruses capable of infecting mammals and spreading viruses of public health concern.

ecology↗