Biology subjects

Xu, J.

Publications and source records attributed to Xu, J..

At least 217 records · Page 12Linked to original sources

bioRxiv2025

Tolerance to Lung Infection in TWIK2 K+ Efflux Mediated Macrophage Trained Immunity

Lung macrophages such as alveolar macrophages (AM{varphi}) are essential for innate immune function in the lungs. It is now apparent that macrophages can be trained to become better at attacking infections. Although trained immunity is thought to result from metabolic and epigenetic reprogramming, the underlying mechanisms remain unclear. Here, we report that macrophages can be trained by extracellular ATP, which is ubiquitously released during inflammation. ATP ligates the canonical Purinergic Receptor 2 subtype X7 receptor (P2X7) to mediate endosomal Two-pore domain Weak Inwardly rectifying K+ channel 2 (TWIK2) translocation into the plasma membrane (PM). This enables the cells to transit to a ready state for microbial killing in two directions: first, K+ efflux via PM-TWIK2 induces NLRP3 inflammasome activation, which further activates metabolic pathways; second, upon bacterial phagocytosis, PM-TWIK2 internalizes into phagosome membrane with proper topological orientation, where TWIK2 mediates K+ influx into phagosomes to control pH and ionic strength favoring bacterial killing. Therefore, the enhanced association of TWIK2 in phagosomal and plasma membranes signaled by danger-associated molecular patterns (DAMPs), such as ATP, mediates trained immunity in macrophages and enhances microbiocidal activity.

immunology↗

bioRxiv2025

IL-17A-driven Macrophage Disorder Promotes Plaque Instability in Psoriatic Atherosclerosis

Psoriasis is a common chronic inflammatory skin disease that predisposes individuals to cardiovascular diseases such as atherosclerosis. However, the underlying mechanisms linking these conditions have not yet been fully elucidated. Recent studies have indicated that the inflammatory cytokine IL-17A plays a significant role in both diseases. The aim of this study was to investigate how psoriasis affects the stability of atherosclerotic plaques via the IL-17A/IL-17RA pathway. We performed single-cell sequencing on patients with both psoriasis and atherosclerosis to analyze changes in the immune microenvironment within their carotid plaques and psoriatic lesions. We found that IL-17A significantly upregulated the expression of pro-inflammatory factors (e.g., CXCL8) in macrophages of psoriatic atherosclerosis patients, leading to weakening of the fibrous cap structure of plaques. Additionally, IL-17A further exacerbated plaque instability by interfering with macrophage lipid metabolism, particularly sphingolipid metabolism. Finally, using in vitro experiments and animal models, we demonstrated that IL-17A enhances pro-inflammatory and metabolic abnormalities in macrophages by downregulating PPAR{gamma}. Therapeutic strategies targeting IL-17A may contribute to the simultaneous mitigation of psoriasis and atherosclerosis-associated cardiovascular risk, providing new directions for clinical intervention.

cell biology↗

bioRxiv2025

Mechanistic dissection of Candidatus Liberibacter Triggered Chronic Immune Disease

Immunity is generally considered critical for plant health against pathogen infection. Citrus Huanglongbing (HLB) caused by the phloem colonizing bacterial pathogen Candidatus Liberibacter asiaticus (CLas) was suggested to be a pathogen triggered chronic immune disease. However, the genetic evidence and mechanistic understanding for such a disease model is lacking. Here, we show CLas triggers phloem cell death, reactive oxygen species (ROS) production and callose deposition in photosynthesis tissues, but little or none in non-photosynthesis tissues of citrus. We further demonstrate that CLas triggers ROS production in chloroplasts. Overexpression of flavodoxin (Fld), an electron shuttle, in chloroplasts reduced ROS production, cell death and HLB symptoms, but not phloem callose deposition induced by CLas. Knockout, silencing, and overexpression of phloem callose synthase genes CsCalS7a, CsCalS7b, or CsCalS7c demonstrated that phloem callose deposition also caused phloem cell death. Trunk injection with 2-deoxy-d-glucose, a callose deposition inhibitor, reduced fruit drop and increased fruit yield of HLB symptomatic trees in field trials. Using tomato-Ca. L. psyllaurous (Lpsy) as a model, knockout of Eds1 and Pad4 but not RbohB, Bik1 and Sobir1 abolished ROS production, phloem callose deposition, cell death and disease damages caused by Lpsy. This study provides genetic evidence for Ca. Liberibacter-triggered immune disease and reveals that tuning plant immune responses converts Ca. Liberibacter into a benign endophyte, providing a promising strategy for precision breeding to enhance resistance/tolerance against HLB.

plant biology↗

bioRxiv2025

A Universal 6iL/E4 Culture System for Deriving and Maintaining Embryonic Stem Cells Across Mammalian Species

The derivation of authentic embryonic stem cells (ESCs) from diverse mammalian species offers valuable opportunities for advancing regenerative medicine, studying developmental biology, and enabling species conservation. Here, we report the development of a robust, serum-free culture system, termed 6iL/E4 that enables the derivation and long-term self-renewal of ESCs from multiple mammalian species, including mouse, rat, bovine, rabbit, and human. Using systematic signaling pathway analysis, we identified key regulators--including GSK3, STAT3, PDGFR, BRAF, and LATS--critical for ESC maintenance across species. Additionally, inducible expression of KLF2 and NANOG enhances the naive pluripotency and chimeric potential of bovine ESCs. The E4 medium also supports stable ESC growth while minimizing lineage bias. These findings reveal conserved principles underlying ESC self-renewal across divergent mammalian species and provide a universal platform for cross-species stem cell research, disease modeling, and biotechnology applications. In BriefWang et al. developed 6iL/E4, a serum-free system sustaining ESCs from mouse, rat, bovine, rabbit, and human. These findings reveal conserved fundamental mechanisms governing ESC self-renewal across diverse mammalian species. HighlightsO_LIDeveloped 6iL/E4 system for ESC derivation across five mammalian species. C_LIO_LIPDGFR signaling inhibition as critical for ESC derivation across species. C_LIO_LIE4 medium improves ESC maintenance and avoids neural bias of traditional N2B27. C_LIO_LIInducible KLF2/NANOG enhances naive pluripotency and chimera formation in bovine. C_LI

cell biology↗

bioRxiv2025

Deep Blood Proteomics Identifies over 12,000 Proteins Providing Valuable Information about the State of the Human Body

Blood is a valuable resource for clinical research, offering insight into physiological and pathological states. However, the specific proteins detectable in blood and the optimal proteomic methods for their detection have not been rigorously investigated and documented. To address this, we conducted various blood proteomic strategies, including directly blood proteomic analysis, high-abundance protein depletion, low-abundance protein enrichment, and extracellular vesicle enrichment using data-independent acquisition or targeted proteomics. These approaches identified 11,679 protein groups in plasma from healthy individuals. In 136 pancreatic ductal adenocarcinoma whole blood samples, 6,956 protein groups were found, including 678 not seen in healthy samples, expanding the total to 12,357 blood proteins. This represents the most comprehensive blood proteome to date. To support broader access and analysis, we developed the Human Blood Proteome (HuBP) database, detailing protein detectability, abundance, and reproducibility across workflows, sample types, and disease contexts.

systems biology↗

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

Spatially Organized IGF1 mTOR Signaling Controls Human Forebrain Progenitor Fate Through Coordinated Transcriptional and Translational Programs

The specification and maintenance of human forebrain neural progenitor cells (NPCs) depend on both intrinsic gene networks and spatially localized niche signals, but the interplay between these cues remains incompletely understood. Here, we identify a spatially organized, paracrine IGF1 signaling architecture that regulates human FOXG1 NPCs through multilayered transcriptional and translational control. Using a pluripotent stem cell-derived forebrain model, we show that FOXG1 NPCs express IGF1 receptors but lack endogenous IGF1, instead depending on neighboring epithelial-like domains that secrete IGF1. IGF1 promotes progenitor proliferation, clonal expansion, and vertical tissue growth by activating PI3K-AKT-mTOR and MEK-ERK pathways. Ribosome profiling and 5'UTR reporter assays reveal that mTOR signaling selectively enhances translation of neurodevelopmental and biosynthetic transcripts-- including GSX1, a ventral fate determinant implicated in interneuron specification and autism. These findings uncover a human-specific regulatory mechanism in which spatially restricted IGF1-mTOR signaling integrates niche signals with translational output to support progenitor identity, biosynthetic capacity, and developmental resilience.

neuroscience↗

bioRxiv2025

DSB repair kinetics impair CRISPR-Cas9 editing in human embryos

Cas9 provides a powerful tool to interrogate DNA repair and to introduce targeted genetic modifications. However, a major challenge of Cas9-based editing in human embryos is the occurrence of chromosomal abnormalities caused by Cas9 cleavage. Furthermore, mosaicism - different genetic outcomes in different cells, prevent accurate genotyping using a single embryo biopsy. Through timed analysis of editing outcomes during the first cell cycle and timed inhibition of Cas9 using AcrIIA4, we show that most edits occur at least 12 hours post Cas9 injection and therefore after the first S-phase. This timing limits the ability to achieve uniform editing across cells. We found that segmental chromosomal abnormalities and the consequential loss of heterozygosity are common at Cas9 cleavage sites throughout the genome, including at MYBPC3 and at CCR5 loci, for which this has not previously been reported. Surprisingly, inhibiting Cas9 activity 8-12 hours before mitosis does not eliminate chromosomal aneuploidies. This suggests that double-strand break (DSB) repair in human embryos is exceedingly slow, with breaks remaining unrepaired for many hours. Thus, the timing of DSB induction and repair relative to the first S-phase and the first mitosis is intrinsically limiting to preventing mosaicism and maintaining genome stability in embryonic gene editing.

developmental biology↗

bioRxiv2025

APOE genotype confers context dependent neurovascular vulnerability in immune-vascularized human forebrain organoids

The APOE gene is a major genetic determinant of neurovascular and immune function, yet the mechanisms by which its isoforms modulate brain vulnerability to pathogenic stress remain incompletely understood. Here, we employ isogenic human iPSC-derived immune-vascularized--Forebrain Organoid-based Multicellular Assembled Cerebral Organoids (FORMA-COs)--to dissect isoform-specific responses to a clinically relevant viral challenge. We find that APOE2/2 and APOE4/4 FORMA-COs exhibit heightened viral RNA burden and distinct neuroinflammatory profiles compared to APOE3/3. Specifically, APOE4/4 promotes IL-1 and VEGFA induction, whereas APOE2/2 leads to elevated TNF-{beta} and VEGFA protein accumulation, indicating divergent pathways of injury. Integrated transcriptomic analyses, combined with known and predicted APOE protein-protein interaction networks, reveal genotype-dependent enrichment of cytokine signaling, angiogenic remodeling, and immune dysregulation. In vivo validation using humanized mouse models corroborates APOE genotype- specific vascular remodeling, microglial activation, and oligodendrocyte perturbation. These findings demonstrate that APOE genotype confers context-specific susceptibility to neuroimmune and vascular injury, providing insight into genetic risk mechanisms underlying infection-related and neurodegenerative brain disorders.

neuroscience↗

bioRxiv2025

Heart spheroids from primary cells for studying cardiac development

Organoids can be broadly classified based on their source: either from primary cells or from in vitro stem cell differentiation. Organoids derived from primary cells have been developed for various organs such as the liver, intestine, and colon, demonstrating significant value in disease modeling and drug screening. However, primary cell-derived heart organoids have not yet been reported. In this study, we developed heart organoid-like spheroids using murine atrial and ventricular cells. We demonstrated that these spheroids largely preserved the cell lineages present in vivo. We further evaluated their responses to treatment with growth factors. Subsequently, we fused atrial and ventricular spheroids to observe the migration patterns of different cell types. Then, we generated mixed spheroids composed of cells from different heart regions or organs and found that region- or organ-specific cells tended to cluster together. Notably, liver- and intestine-derived cells promoted cardiomyocyte maturation within these mixed organoids. Finally, we performed a fibroblast ablation assay in heart spheroids derived from transgenic mice and observed the effects on other cell lineages. Overall, we successfully generated heart spheroids from murine primary cells and demonstrated their in vivo-like characteristics. Compared to stem cell-derived organoid systems, this primary cell-derived approach holds great promise for translational research due to its potential to better preserve native cellular features.

developmental biology↗

bioRxiv2025

Strain-level metagenomic profiling using pangenome graphs with PanTax

Microbes are omnipresent, thriving in a range of habitats, from oceans to soils, and even within our gastrointestinal tracts. They play a vital role in maintaining ecological equilibrium and promoting the health of their hosts. Consequently, understanding the diversity in terms of strains in microbial communities is crucial, as variations between strains can lead to different phenotypic expressions or diverse biological functions. However, current methods for taxonomic classification from metagenomic sequencing data have several limitations, including their reliance solely on species resolution, support for either short or long reads, or their confinement to a given single species. Most notably, most existing strain-level taxonomic classifiers rely on the sequence representation of multiple linear reference genomes, which fails to capture the sequence correlations among these genomes, potentially introducing ambiguity and biases in metagenomic profiling. Here, we present PanTax, a pangenome graph-based taxonomic profiler that overcomes the short-comings of sequence-based approaches, because pangenome graphs possess the capability to depict the full range of genetic variability present across multiple evolutionarily or environmentally related genomes. PanTax provides a comprehensive solution to taxonomic classification for strain resolution, compatibility with both short and long reads, and compatibility with single or multiple species. Extensive benchmarking results demonstrate that PanTax drastically outperforms state-of-the-art approaches, primarily evidenced by its significantly higher precision or recall at strain level, while maintaining comparable or better performance in other aspects across various datasets. PanTax is an open-source user-friendly tool that is publicly available at https://github.com/LuoGroup2023/PanTax.

bioinformatics↗

bioRxiv2025

Tracing Siderophore Precursors to Primary Metabolism for Ecological Applications

Microbial fitness depends on balancing between primary metabolism supporting basic survival, and secondary metabolism producing metabolites for environmental adaptation. These two systems are interconnected, with most secondary metabolites deriving from primary metabolic precursors. However, systematic frameworks for studying their relationships across diverse microbes remain limited. Using siderophores--iron-chelating secondary metabolites crucial for microbial competition--as a model, we developed a stepwise "siderophore-monomer-precursor-pathway analysis" framework to trace the biosynthetic connections from siderophore structures to primary metabolism. We applied this framework to an expanded SIDERITE database containing 1018 siderophore structures. To demonstrate practical applications, we identified specific precursors utilized by the beneficial rhizobacterium Bacillus amyloliquefaciens but not by the plant pathogen Ralstonia solanacearum. Supplementing these precursors under iron-limited conditions enhanced both siderophore production in B. amyloliquefaciens and its inhibitory activity against R. solanacearum. This work establishes a direct link between primary metabolism and siderophore-mediated microbial interactions, offering new strategies for pathogen suppression through targeted metabolic interventions.

biochemistry↗

bioRxiv2025

Calpain cleaves the carboxyl terminus of TRPV1 and modulates receptor tachyphylaxis

Transient receptor potential vanilloid-1 (TRPV1) plays a critical role in noxious heat sensation and pain hypersensitivity development in chronic pain. Sustained or repeated exposure to capsaicin, a classic TRPV1 agonist, induces TRPV1 desensitization. This partially accounts for the analgesic effect of capsaicin. However, the regulatory mechanisms of TRPV1 desensitization remain poorly understood. In this study, we found that capsaicin acts on TRPV1 to induce the activation of calpain, a Ca2+-sensitive cysteine protease, in a manner unrelated to cellular injury. Calpain cleaves rTRPV1 at the carboxyl terminus of G819/S820. Lack of the distal carboxyl terminus leads to reduced TRPV1 localization on the plasma membrane, potentially due to increased receptor internalization and impaired subunit assembly. This finding was corroborated by whole-cell patch clamp recordings. Additionally, the {Delta}820-838 mutant of rTRPV1 shows resistance to tachyphylaxis as induced by repetitive capsaicin stimulation. This study reveals a pivotal role for calpain in TRPV1 desensitization where its activation constrains TRPV1 channel function while simultaneously increasing its resistance to tachyphylaxis, thereby acting to maintain TRPV1 activity within an appropriate range.

neuroscience↗

bioRxiv2025

Ciliated cells promote high infectious potential of influenza A virus through the efficient intracellular activation of hemagglutinin

Influenza viruses utilize host proteases to activate the viral fusion protein, hemagglutinin (HA), into its fusion-competent form. Although proteolytic activation of HA is essential for virus replication, the cell-type dependence of HA activation within the airway epithelium and the subcellular location(s) in which it occurs are not well-established. To address these questions, we investigated the proteolytic activation of HA in differentiated human airway epithelial cells using contemporary and historical H1N1 and H3N2 strains. We find that activation is efficient across viral strains and subtypes but depends on cellular tropism, with ciliated cells activating HA more effectively than non-ciliated cells. Similar to prior observations in immortalized cell lines, we find that HA activation occurs intracellularly, constraining the antiviral activity of host-directed protease inhibitors. These results establish that HA activation within the airway epithelium depends on cellular tropism, and identify important considerations for the development of protease inhibitors as antivirals. ImportanceInfluenza entry requires the proteolytic activation of the viral fusion protein, hemagglutinin (HA). Activation occurs as new viruses are produced by infected cells. Efficient proteolytic activation is critical for viral pathogenesis, and inhibiting the requisite proteases could provide an effective host-directed antiviral strategy. To understand cellular constraints on HA activation and its sensitivity to inhibitors, we use complementary approaches to investigate these processes in differentiated airway epithelial cells. We find that ciliated cells activate HA with higher efficiency than non-ciliated cell types, establishing a new mechanism through which cellular tropism and virus infectious potential are connected. We also establish that HA activation begins in the Golgi, which may contribute to the limited the efficacy of inhibitors we observe despite their high in vitro potency.

microbiology↗

bioRxiv2025

Cell type-specific contributions to impaired blood-brain barrier and cerebral metabolism in presymptomatic 5XFAD mice

Altered cerebral metabolism and blood-brain barrier (BBB) dysfunction are emerging as critical contributors to the preclinical phase of Alzheimers disease (AD), underscoring their role in early pathogenesis. To identify sensitive biomarkers before irreversible neuronal loss and cognitive decline, we examined 5XFAD mice at 3 months of age by applying multiple advanced MRI techniques. Arterial spin tagging based MRI revealed increased BBB permeability and water extraction fraction, indicating compromised BBB integrity at the early stage of pathogenesis in 5xFAD mice. Despite preserved cerebral blood flow, a decreased unit mass cerebral metabolic rate of oxygen (CMRO2) was evident in the same cohorts of 5XFAD mice. Interestingly, a region-specific decrease of tissue pH values was detected in the hippocampus of these 5XFAD mice by creatine chemical exchange saturation transfer MRI. Elevated neuronal H4K12 lactylation in the hippocampus supports the reduced pH values. To further dissect the cellular and molecular mechanisms underlying these MRI-detectable changes in 5XFAD mice, we conducted single-nucleus RNA sequencing (snRNA-Seq) with optimized blood vessel enrichment protocols. Our results revealed cell type-specific transcriptomic changes in the hippocampus of 3-month-old 5XFAD mice, including downregulation of synaptogenesis and synaptic transmission genes in the CA1 and dentate gyrus excitatory neurons, impaired endothelial gene expression linked to brain barrier function and angiogenesis, altered innate immune response genes in astrocytes, as well as upregulation of cholesterol biosynthesis and metabolism genes in the CA1 excitatory neurons. These findings underlie the intricate interplay between BBB disruption and metabolic dysregulation before the onset of cognitive decline in AD. Our study demonstrates that BBB dysfunction and cerebral metabolic alterations preceded brain hypoperfusion and cognitive decline, emphasizing potential molecular pathways for early intervention. These findings, once validated in human studies, could significantly enhance early diagnosis and inform novel therapeutic strategies targeting early AD pathogenesis.

neuroscience↗

bioRxiv2025

CS-Fold: Advancing RNA Structure Predictions through Phylogenetic Modelling of Compensatory Mutations in Deep Neural Networks

Accurate prediction of RNA secondary structures is essential for understanding the conformation, function, and interactions of RNA. Leveraging co-evolutionary information across species through multiple sequence alignments (MSAs) has been proven to be effective in improving molecular structure predictions. However, existing deep learning approaches do not explicitly incorporate compensatory substitutions along the phylogenetic trees, which are crucial for capturing structural conservation through evolution. To address this, we developed CS-Fold, a novel deep learning framework that integrates compensatory substitutions likelihoods as constraints using likelihood estimation and Monte Carlo algorithms. These likelihoods, representing evolutionary changes along phylogenetic trees, are encoded in a sparse matrix that guides the attention mechanism of a Pairformer-based architecture. A custom loss function and an unrolled post-processing algorithm enforce adherence to the solution space constrained by these evolutionary constraints. CS-Fold achieves a substantial 5% improvement in the F1 score compared to the current mainstream approaches, demonstrated through evaluations on cross-family datasets, including 604 human RNA families from the Rfam database. Our model offers novel insights and incorporates additional evolutionary information beyond traditional MSAs and folding strategies, providing a robust and innovative solution for RNA secondary structure prediction.

bioinformatics↗

bioRxiv2025

Leaf shape modulates climate trait relationships in the wild species Chenopodium hircinum (Amaranthaceae)

Understanding how leaf morphology mediates plant responses to environmental variation is essential for predicting species adaptability under climate change. In this study, we investigated natural variation in leaf shape and associated functional- physiological traits (FPTs) across populations of Chenopodium hircinum grown in a common garden. We found that leaf shape strongly correlates with the climatic conditions of population provenance, while functional and physiological traits are independently associated with morphology rather than directly with climate. Landmark-based morphometric analysis revealed that the second principal component, distinguishing deeply lobed from rounded leaves, is significantly linked to key traits such as leaf mass per unit area (LMA) and stomatal conductance. These relationships suggest that morphology mediates a functional continuum between resource-use strategies. Notably, within-population phenotypic variation accounted for much of the observed trait diversity, underscoring the role of individual-level phenotypic plasticity in shaping ecological function. Our results challenge traditional views on the thermoregulatory role of leaf lobation and highlight morphology as a central axis of adaptation. This work advances understanding of trait integration in response to environmental heterogeneity and suggests that plasticity in leaf shape and function may enhance resilience of C. hircinum across its native range.

plant biology↗