Biology subjects

Wang, J.

Publications and source records attributed to Wang, J..

At least 721 records · Page 40Linked to original sources

bioRxiv2025

Five new Caenorhabditis species from Indonesia provide exceptions to Haldane's rule and partial fertility of interspecific hybrids

Given the interest in the biogeography and diversity of the Caenorhabditis genus, we established a collection of these nematodes from field surveys on four Indonesian islands. We isolated over 60 Caenorhabditis strains belonging to ten species. Five species were previously known from other locations: C. briggsae, which was predominant, C. tropicalis, C. nigoni, C. brenneri and C. elegans. The five other species are new, and we describe them here as Caenorhabditis indonesiana, Caenorhabditis malino, Caenorhabditis ceno, Caenorhabditis brawijaya and Caenorhabditis ubi. RNA sequence analysis of 1,861 orthologous genes placed all species from Indonesia in the Elegans group of Caenorhabditis species. Four of the new species belong to a Sinica subclade of species so far only found in an East Asia-Indo-Pacific world region. The fifth new species, C. indonesiana, appears as the sister of the C. tropicalis-C. wallacei pair, both also found in Indonesia. The present findings are thus consistent with diversification in the Elegans group having occurred in this world region. Crosses between closely related species showed counterexamples to Haldanes "rule": for two pairs of species, in one cross direction we only found hybrid males. In addition, we found a pair of species that could partially interbreed: Caenorhabditis ubi (East Java) with C. sp. 41 (Solomon islands), with the hybrid males in one cross direction being fertile. Such closesly related species pairs are good models for genetic studies of incompatibilities arising during speciation. SummaryThis work addresses their biodiversity, phylogenetic relationships and genetic incompatibilities of Caenorhabditis nematodes, which are laboratory model organisms. Through field studies, the authors isolated 60 Caenorhabditis strains in Indonesia, representing ten species, including five new. From RNA sequencing and phylogenetic reconstruction, all ten species belong to the Elegans group of Caenorhabditis. In crosses between closely related species, the hybrid progeny can be all females, abiding by Haldanes rule, but in other cases all males. In one species pair, partially fertile hybrids are produced in one cross direction. These closely related species are good models for studying genetic incompatibilities.

genetics↗

bioRxiv2025

Enhancing Biomedical Optical Volumetric Imaging via Self-Supervised Orthogonal Learning

Optical volumetric imaging grapples with inherent noise problems arising from photon budget constraints, light scattering, and space-bandwidth product bottlenecks, all of which degrade structural fidelity and become even more pronounced than in planar imaging. While deep learning presents potential for denoising, supervised methods are hindered by the impracticality of paired dataset, and existing self-supervised approaches fail to fully exploit the intrinsic volumetric structural redundancy inherent to optical imaging. Here, we present a self-supervised Volumetric biomedicAL Imaging Denoiser (VALID) that leverages intrinsic three-dimensional spatial coherence for highly efficient volumetric denoising through a self-supervised orthogonal learning framework. VALID demonstrates robust denoising performance across diverse imaging modalities, including two- and three-photon microscopy, light-field microscopy, and optical coherence tomography, substantially enhancing structural fidelity in deep-tissue, multimodal, and dynamic imaging scenarios. By combining computational efficiency with zero-shot adaptability, VALID establishes a transformative approach to volumetric image enhancement with structure-aware precision.

neuroscience↗

bioRxiv2025

Non-canonical EGFR signaling is essential for MAPK-mediated apical extrusion of epithelial cells

Individual epithelial cells that acutely express oncogenes such as Ras or Src are extruded apically from monolayers of wildtype cells. Multiple signaling networks have been implicated but the extrusion mechanism is still not fully understood. We examined extrusion of mammary epithelial cells caused by acute induction of oncogenic Ras(Q61L). As reported by others, Ras-dependent extrusion requires downstream activation of ERK but not AKT. Unexpectedly, however, extrusion was completely blocked by Erlotinib, which inhibits Epidermal growth factor receptor (EGFR) activity, or by deletion of the receptor. In pancreatic and lung cancers, EGFR is required for full activation of Ras and consequent ERK activation. However, inhibition or deletion of EGFR had no impact in our system on Ras(Q61L)-GTP levels or ERK phosphorylation. Importantly, receptor function was cell autonomous, because EGFR expression was not required in surrounding WT cells but was essential in the Ras(Q61L) cells, yet did not act through the canonical ERK signaling pathway. Deletion of Ras exchange factors Sos1/2 did not block cell extrusion. Moreover, expression of a constitutively active MEK mutant, instead of Ras, was sufficient to drive extrusion, and EGFR inhibition or knockout in these cells blocked extrusion, with no change in phospho-ERK levels. Notably, acute expression of Ras triggered internalization of E-cadherin, which was partially blocked by inhibition of EGFR. Knockout of E-cadherin was alone sufficient to promote extrusion. Together, these data demonstrate an unanticipated requirement for noncanonical EGFR signaling in cancer cell extrusion, which may act in part through the promotion of E-cadherin endocytosis. Statement of SignificanceApical extrusion of cells acutely expressing oncogenic Ras requires EGFR activity through a noncanonical pathway, independent of ERK and AKT signaling, that promotes E-cadherin internalization from adherens junctions.

cancer biology↗

bioRxiv2025

Economic and Social Modulations of Innate Decision-Making in Mice Exposed to Visual Threats

When confronted by predators, animals make innate decisions with rapid reaction times--a trait shaped by natural selection to maximize survival. However, rapid reactions are effective only when grounded in accurate judgments and appropriate choices, which often require cognitive control. To address how such choices are shaped, we developed a behavioral paradigm to investigate how threat intensity, reward value, and social hierarchy shape decision-making in foraging mice exposed to overhead visual threats. Using a machine learning-based approach, we classified defensive responses into four distinct decision types. Mice showed rapid habituation to repeated looming threats, with substantial inter-individual variability in the rate of habituation. Across both early and late phases of habituation, threat intensity emerged as the primary determinant of decision-making, strongly biasing behavior toward escape. In contrast, the influence of reward value was context-dependent and became evident primarily in the late phase: under low-threat conditions, higher reward value suppressed defensive responses, consistent with value-based decision theory; whereas under high-threat conditions, higher reward value promoted escape, potentially reflecting heightened vigilance. Innate decision-making was further modulated by social hierarchy, with dominant mice showing greater vigilance and a stronger bias toward risk-averse behaviors, while subordinates were more reward-driven. To understand the underlying decision-making process, we developed a drift-diffusion leaky integrator model that successfully captures how threat intensity, reward value, and vigilance interact to shape defensive decisions. Together, these findings reveal how economic and social factors modulate innate decisions and provide a computational framework for understanding the interplay between instinctive reactions and cognitive control.

neuroscience↗

bioRxiv2025

ZNF638 represses the transcription of HBV closed circular DNA involving HUSH complex-mediated histone modifications of epigenetic silencing

Hepatitis B virus (HBV) infection poses a critical threat to public health burden worldwide. As the major template of viral transcription, the covalently closed circular DNAs (cccDNAs) of HBV was known to form microchromosomes and interact with various host proteins. In the present study, ZNF638 was found to significantly reduce the transcription of HBV into pgRNAs, and subsequently reduce cccDNA formation and viral propagation. We discovered that ZNF638 was able to bind the preS and S gene regions of HBV, repressing the transcription of cccDNA upon increased modification of H3K9me3 mediated by SETDB1. This epigenetic silencing of cccDNA transcription was further demonstrated to involve the activity of HUSH, a multi-protein complex to mediate epigenetic modifications of histone into suppressed nucleosomes. In in vivo models, we evaluated the effects of ZNF638 deficiency on HBV-targeting siRNA therapy. A significant reduction of the efficacy was observed in animals with reduced ZNF638 expression. In summary, we report that ZNF638 is a potent host factor to repress the transcription of HBV DNAs and to attenuate HBV infection. The role of ZNF638 on HBV repression involves its binding to cccDNA at specific regions for recruiting HUSH complex to write H3K9me3 histone marks for epigenetic silencing. ZNF638 serves as a critical host factor to associate HBV infection and disease progression. Additionally, ZNF638 serves as a potential indicator to predict the outcome of HBV-targeting siRNA therapy.

biochemistry↗

bioRxiv2025

Ferret model of bleomycin-induced lung injury shares features of human idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a debilitating lung disease with limited therapeutic options. The development of effective therapies has been hindered by the lack of models that recapitulate key features of human disease. Here we report a bleomycin-induced ferret PF model characterized by an irreversible decrease in pulmonary compliance and an increase of opacification, accompanied by "honeycomb cyst-like" structures and "proximalization" of distal lung epithelium. Cellular and molecular analysis by single-nucleus RNA sequencing revealed a significant shift in distal lung epithelium towards proximal epithelial phenotype. Importantly, a histopathological pattern of bronchiolization encompassing divergent atypical epithelial cells and KRT17+/TP63+/KRT5low "basaloid-like" cells was present in the distal fibrotic lung lesions. Trajectory analysis revealed AT2 cells transition through multiple cell-states in bleomycin injured ferret lungs, particularly AT2 to KRT8high/KRT7low/SOX4+ and eventually to KRT8high/KRT7high/SFN+/TP63+/KRT5low "basaloid-like" cells. Further, immunofluorescence analyses demonstrated KRT7 and KRT8 populations reside overlaying the ACTA2-positive myofibroblasts in fibrotic foci, implying their pro-fibrogenic activity similar to human IPF lungs. Collectively, our results provide evidence that bleomycin-induced lung injury in ferrets recapitulates pathophysiological, cellular, and molecular features of human IPF, suggesting that they may be a reliable model for understanding mechanisms of IPF pathogenesis and for testing therapeutic strategies for treatment of IPF. Take Home MessageBleomycin-induced acute lung injury in the ferret recapitulates pathophysiological, cellular, and molecular features of human IPF; thus the ferret may be a reliable species for studying mechanisms of IPF pathogenesis and testing therapeutic strategies.

pathology↗

bioRxiv2025

Prognostically favorable immune responses to ovarian cancer are distinguished by self-reactive intra-epithelial plasma cells

Tumor-infiltrating B cells (TIL-Bs) are strongly associated with patient survival; however, the underlying mechanisms are poorly understood. Using integrated single-cell and spatial biology approaches, we defined at clonal resolution the molecular phenotypes, tumor reactivity patterns, and microenvironmental locations of TIL-Bs in high-grade serous ovarian cancer (HGSC). Prognostic benefit was associated with a TIL-B-rich tumor microenvironment with marked infiltration of malignant epithelium by plasma cells (PCs). PCs spanned five molecular phenotypes; exhibited high rates of somatic hypermutation and clonal expansion; and expressed predominantly IgG1 antibodies recognizing broadly expressed nuclear, cytoplasmic, and cell surface self-antigens. Many PC-derived antibodies were polyreactive. Self- and poly-reactive TIL-Bs penetrated tumor epithelium and stroma and expressed interferon-stimulated genes, indicating strong in situ activation. The self- and poly-reactive nature of TIL-B responses, reminiscent of autoimmune disease, may provide a means for the immune system to combat tumor heterogeneity and could potentially be harnessed for more effective immunotherapy.

cancer biology↗

bioRxiv2025

VAMP5 is a novel target for selective inhibition of gliomas with high NDRG4 expression via downregulating PLK1 and beyond

BackgroundSNAREs participate in cancers progression or stress resistance. But the current conclusions on their involvement in cancers are generally unsystematic and even contradictory on one SNAREs roles in different types of cancer. Its necessary to find universal mechanisms of SNAREs participation in cancers possessing generalizability within appropriate range for application of targeted therapy. MethodsOur study initiated with database analysis on clinical information and bulk RNA-seq data to locate potential effective target for certain cancer type. Then experiment validations/explorations were performed on clinical human sections, cell lines and xenograft models. Lentivirus (LV) were applied for gene KD, overexpression and microRNAs sponge; Bulk RNA-seq, microRNA-seq and DIA proteomics for identification, quantification, genesets/target analysis; WB, single-IF, TSA (Tyramide signal amplification) multi-IF, IHC for proteins detection using antibodies; QPCR for artificial microRNA-sponge sequences test; Other reagents/instruments applied for corresponding purposes. ResultsVAMP5 is a therapeutic target for gliomas with expression selectivity. Gliomas could be divided into 2 types according to effects after VAMP5 KD. In VAMP5-KD sensitive type, PLK1, a classical gene vital for tumor growth/survival, is universally protein-level down-regulated that mediated partly via decrease of several up-reg microRNAs like mir-1301-3p and mir-12135, causing growth inhibition. While among insensitive type that VAMP5-KD is invalid for growth inhibition, PLK1 is not altered consistently, which serves as an evaluation marker for inhibition effectiveness. NDRG4 is a prediction marker for VAMP5-KD sensitivity that sensitive gliomas express higher NDRG4 than insensitive type on RNA level. Moreover, NDRG4 overexpression converts VAMP5-KD insensitive gliomas into sensitive type and additionally cause protein-level downregulation of VCAM1 and especially TNKS which also benefit the growth inhibition and PLK1 reduction partly. Except for results above, LGALS1 correlated and colocalized with VAMP5 possessing broader consistency than other membrane proteins so indicates the immune-enhancing potential of down-reg LGALS1 via KD VAMP5. ConclusionsThese discoveries elucidated the mechanism of VAMP5 KD on gliomas inhibition preliminarily. New sights for glioma therapies including selective therapeutic target, prediction marker, evaluation marker, enhancing strategy and correlated immuno-checkpoint markers were concluded with further development potentials.

cancer biology↗

bioRxiv2025

EZH2 alters aggressive variant prostate cancer subtype evolution, but is not required for neuroendocrine prostate cancer

Advanced prostate cancer (PrCa) remains a leading cause of cancer-related death among men because nearly all patients progress on standard therapy that targets androgen receptor (AR) signaling. An important mechanism driving therapeutic resistance is lineage plasticity, the ability of PrCa cells to reprogram into lineage variants like neuroendocrine (NE) PrCa that no longer depend on AR signaling. The histone methyltransferase EZH2 has been implicated in PrCa lineage plasticity and EZH2 inhibitors are being evaluated clinically for the treatment of PrCa. Here we test how Ezh2 impacts the evolution of PrCa lineage plasticity using genetically engineered mice and human patient data. Reduced Ezh2 expression diversifies the evolution of PrCa lineage variants, including a newly discovered variant with high expression of neurofilament genes, in both mice and humans. Lineage variant diversification is associated with activation of Klf transcription factor programs and AR cistrome reprogramming that is normally repressed by Ezh2. These findings advance the understanding of PrCa lineage plasticity and have implications for using EZH2 as a target for PrCa therapy.

cancer biology↗

bioRxiv2025

The tricyclic antidepressant cyproheptadine rescues egg-laying defect of grk-2 mutants

Serotonin regulates egg-laying by activating vulva muscle contraction. Its oxidization metabolite 5-HIAA inhibits vulva muscle contraction. The loss-of-function mutants of grk-2 have strong egg-laying defects because they have serotonin depletion and high level of 5-HIAA. The experiment results show that 5-HIAAs function depends on 5-HT1/HT2 receptor SER-1. The egg-laying inhibition can be completely reverted by loss-of-function goa-1, the Go homolog in C. elegans. Serotonin and 5-HIAA competes for SER-1 binding and they activate different G protein complexes. The tricyclic antidepression drug cyproheptadine can block 5-HIAA function. The experiment results propose a plausible mechanism of cyproheptadine function. On the postsynaptic membrane, SER-1 binding with cyproheptadine can only recruit serotonin, thus, it biased activates Gq instead of Go coupled signaling.

biochemistry↗

bioRxiv2025

Multimodal Bonds Reconstruction Towards Generative Molecular Design

Generative models such as diffusion-based approaches have transformed de novo drug design by enabling rapid generation of novel molecular structures in both 2D and 3D formats. However, accurate reconstruction of chemical bonds, especially from distorted geometries produced by generative models, remains a critical challenge. Here, we present YuelBond, a multimodal graph neural network framework for robust bonds reconstruction across three key scenarios: (i) recovery of bonds from accurate 3D atomic coordinates, (ii) reconstruction of chemically valid bonds in crude de novo generated compounds (CDGs) with perturbed geometries, and (iii) reassignment of bond orders in 2D topological graphs. YuelBond outperforms traditional rule-based methods such as RDKit, achieving 98.4% F1-score on standard 3D structures and maintaining strong performance (92.7% F1-score) on distorted CDGs, even when RDKit fails on most cases. Our results demonstrate that YuelBond enables accurate and reliable bond reconstruction from imperfect molecular data, bridging a critical gap in generative drug discovery pipelines.

bioinformatics↗

bioRxiv2025

Specific Pathogen Free Ten Gene-Edited Pig Donor for Xenotransplantation

Xenotransplantation has entered the clinical phase to fulfill the global organ shortage. However, recent clinical studies revealed that the xenograft from current gene-edited (GE) pigs still poses the risk of immune rejection, and biosafety concerns. In this study, we successfully constructed a large batch of 10- (GTKO/CMAHKO/ {beta}4GalNT2KO/hCD46/hCD55/hCD59/hTBM/hEPCR/hCD39/hCD47) GE cloned (GEC) donor pigs by utilizing gene editing and somatic cell cloning technology, and successfully obtained F1 generation. Phenotypic characterization of 10-GEC pigs showed the deletion of three xenoantigens along with expression of seven human transgenes in various tissues. Digital droplet polymerase chain reaction, and whole genome sequencing indicated 2 copies of hCD46/hCD55/hCD59/hTBM/hCD39 and 1 copy of hEPCR/hCD47 in pig genome without significant off-target and damage to the porcine own functional genes. The validation results showed that 10-GEC pigs effectively inhibited the attacks of human antibodies, complement, and macrophages on porcine endothelial cells and alleviated the coagulation abnormalities between pigs and humans. 10-GEC pigs were negative for all zoonotic pathogens (48) including cytomegalovirus, except streptococcal infections. Kidney, heart, and liver xenografts from these 10-GE pigs were transplanted to non-human primates (NHP), which started working normally without hyperacute rejection. Among them, the heart and liver transplant recipient died without resuscitation due to unexpected interruption of oxygen supply, while the 2 kidney transplant recipients survived for 23 and 16 days, respectively. Pathological analysis showed that 10-GE pig kidney xenografts showed mesenchymal congestion, and fibrosis, cellular hyperplasia, with minor antibody and complement deposition, and significantly reduced the infiltration of CD68+ macrophage. In summary, we successfully produced a group of specific pathogen free GEC donor pigs that effectively mitigated immune rejection upon multi-organ transplantation to NHP.

immunology↗

bioRxiv2025

BRAFV600E-Driven Lung Tumorigenesis Requires Ligand-Mediated Activation of ERBB Receptor Signaling

Secretion of ligands of the human epidermal growth factor (EGFR) family of receptors or erythroblastic leukemia viral oncogene family (ERBB1-4) is a feature common to many cancer cells. However, our understanding of the role of autocrine ligands in the aberrant behavior of cancer remains incomplete. Here we demonstrate that, in numerous preclinical models of lung tumorigenesis, BRAFV600E signaling promotes expression of ligands including HB-EGF, TGF, Epi- and Amphiregulin. Moreover, using both genetic or pharmacological approaches, we demonstrate that ligand-mediated activation of EGFR signaling in the tumor cell is required to sustain both early-stage BRAFV600E-driven lung tumorigenesis and supports late-stage BRAFV600E-driven lung cancer maintenance. Unbiased Reverse Phase Protein Analyses (RPPA) analyses, paired with targeted validation, reveals ERBB signaling serves to sustain signaling through the ERK1/2 MAP kinase pathway, through effects on ARAF and CRAF, and on the parallel JUN kinase (JNK) pathway. Furthermore, EGFR is activated in a cohort of BRAF-mutated lung cancer patients both pre- and post-treatment. Finally, we noted significant improvement in the depth and durability of therapeutic responses in preclinical models of BRAFV600E-driven lung cancer by combined inhibition of both BRAFV600E signaling plus pan-ERBB signaling. Collectively, this work provides evidence for an important role for ERBB family signaling in the genesis and maintenance of BRAFV600E-driven lung cancers, and the potential for future therapeutic improvement by rational combination targeting of these pathways. SIGNIFICANCEBRAFT1799A serves as a predictive biomarker for FDA-approved targeted inhibition of BRAFV600E oncoprotein kinase signaling in non-small cell lung cancer (NSCLC). However the occurrence of primary or acquired drug resistance limit the depth and durability of patient responses. Studies described here provide a mechanistic rationale for clinical testing of first-line BRAFV600E inhibition combined with pan-ERBB inhibition to improve the depth and durability of initial patient responses, and delay the emergence of lethal drug resistant disease.

cancer biology↗

bioRxiv2025

Deep three-photon functional imaging in the mouse cortex with adaptive optics

Three-photon (3P) microscopy enables functional non-invasive single-cell resolution imaging at greater depths than any other technique. A key challenge of deep imaging is tissue-induced optical aberration, which reduces the excitation confinement. Adaptive optics use deformable mirrors to compensate for optical distortions, hence correcting these aberrations. Here, we present a practical adaptive optics-assisted 3P imaging system for functional imaging in the mouse brain during behavior. We introduce hierarchical corrections that sequentially target aberrations caused by the microscope system, the cranial window, and tissue depth. We demonstrate the utility of this strategy in the prelimbic cortex, where large vasculature near the midline causes aberrations, and in the lateral somatosensory cortex, where side access leads to distinct wavefront distortions. In both regions, adaptive optics significantly improved imaging performance, restoring cellular visibility near vasculature and enhancing signal-to-noise ratio. Our work provides a practical framework for utilizing adaptive optics to improve 3P imaging during behavior.

neuroscience↗

bioRxiv2025

Hippocampal single-cell RNA Atlas of chronic methamphetamine abuse-induced cognitive decline in mice

BackgroundChronic methamphetamine abuse leads to cognitive decline, posing a significant threat to human health and contributing to loss of productivity. However, the intricate and multifaceted mechanisms underlying methamphetamine-induced neurotoxicity have impeded the development of effective therapeutic interventions. MethodsTo establish a mouse model of cognitive decline induced by chronic methamphetamine exposure, we employed a large sample size and conducted two behavioral tests (Y-maze and novel object recognition test) at 2 and 4 weeks post-exposure. Subsequently, single-cell RNA sequencing was utilized to delineate the mRNA expression profiles of individual cells within the hippocampus. Comprehensive bioinformatics analyses, including cell clustering and identification, differential gene expression analysis, cellular communication analysis, pseudotemporal trajectory analysis, and transcription factor regulation analysis, were performed to elucidate the cellular-level changes in mRNA profiles caused by chronic methamphetamine exposure. ResultsOur findings demonstrated impairments in working memory, spatial cognition, learning, and cognitive memory. After 4 weeks of behavioral testing, we identified diverse cell types in the hippocampi of METH- and saline-treated mice through scRNA-seq, including glial cells, stromal cells, vascular cells, and immune cells. We observed that methamphetamine exerts cell-specific effects on gene expression changes associated with neuroinflammation, blood-brain barrier disruption, neuronal support dysfunction, and immune dysregulation. Furthermore, cross-talk analysis revealed extensive alterations in cellular communication patterns and signal changes within the hippocampal microenvironment induced by methamphetamine exposure. Pseudotime analysis predicted hippocampal neurogenesis disorders and identified key regulatory genes implicated in chronic methamphetamine abuse. Transcription factor analysis uncovered regulators and pathways linked to astrocyte-mediated neuroinflammation, endothelial junction integrity, microglial synaptic remodeling, and oligodendrocyte-supported neuronal cell bodies and axons. Additionally, it highlighted the role of neural precursor cells in various forms of neurodegeneration. ConclusionsThis study establishes a robust mouse model of cognitive impairment induced by chronic methamphetamine exposure. It provides valuable biological insights, characterizes the single-cell atlas of the hippocampus, and offers novel directions for investigating neurological damage associated with chronic methamphetamine-induced cognitive decline.

pharmacology and toxicology↗

bioRxiv2025

Cross-species analysis of experimental PH at single cell resolution reveals prominent contributions Ednrb+ EC and Dhcr24+ macrophage populations

BackgroundAnimal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. Materials and methodThis study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. ResultsHigh levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel Dhcr24high macrophage subset harboring both tissue-remodeling and pro- inflammatory features was consistently increased across models. Several functionally diverse endothelial subtypes were found, including novel Ednrb+ and Nox2+ subpopulations, reflecting enhanced apoptosis, dysregulated angiogenesis and proliferation, and reactive oxygen species-mediated stress. These macrophage and endothelial subtypes expressed numerous PH drug target genes, and exhibited potential disease-specific intercellular interactions involving Angptl4, Cxcl12, and Sema3 signaling. Disease-associated changes in these populations were confirmed by immunofluorescence in lung tissues from animals and patients. ConclusionsWe established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease.

bioinformatics↗

bioRxiv2025

RPSLearner: A novel approach based on random projection and deep stacking learning for categorizing NSCLC

BackgroundLung cancer is the leading cause of cancer death, and non-small cell lung cancer (NSCLC) comprises the largest subtype with most cases. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are two NSCLC subtypes that pose challenges for accurate diagnosis using conventional methods. Existing methods are histological examination and imaging which lacks definitive histologic features and requires intense time. MethodsTo address these concerns, we propose RPSLearner, which combines Random Projection (RP) for dimensionality reduction and stacking ensemble learning to accurately predict lung cancer subtypes. Specifically, multiple independent RP matrices were first generated to project the high-dimensional RNA-seq data into lower-dimensional space, whose features were subsequently concatenated. After that, we fed the fused features into a stack of diverse base classifiers and integrated the predictions from base models via a deep linear layer network. ResultsBenchmarking tests on 1,333 NSCLC patients demonstrated that RPSLearner outperformed state-of-the-art approaches for lung cancer subtype classification. Specifically, RPSLearner efficiently preserved sample-to-sample distances even after significant dimension reduction, and the meta-model in RPSLearner yielded consistently higher accuracy, F1 and AUC scores than individual base models and state-of-the-art approaches for lung cancer subtyping. Besides, the feature fusion method applied in RPSLearner shown better performance than conventional scores ensemble methods. ConclusionWe developed a novel stacking learning method called RPSLearner which combines RP and stacking learning, enabling efficient and accurate identification of NSCLC subtypes. RPSLearner is a promising lung cancer subtyping model for downstream lung cancer clinical diagnosis and personalized treatment, and the framework holds the potentiality to be extended to subtyping of other types of cancer.

bioinformatics↗

bioRxiv2025

Sialin2 Senses Nitrate to Activate Endosomal PI3K-AKT-NOS Signaling

Nitrate functions as a signaling molecule beyond its metabolic intermediate role. Despite progress in plants, the mechanisms underlying mammalian nitrate sensing and signaling remain unclear. The accompanying study identifies Sialin2--a proteolytic fragment of nitrate transporter Sialin--as a mammalian nitrate sensor mediating cellular responses. Here, we demonstrate that nitrate triggers endocytosis, inducing Sialin proteolysis and Sialin2 generation. Nitrate-induced Sialin2 scaffolds Lyn kinase with epidermal growth factor receptor (EGFR) at endosomes, activating phosphatidylinositol 3-kinase (PI3K)-AKT-nitric oxide synthase (NOS) pathway to stimulate localized nitric oxide (NO) production, enhancing angiogenesis and cell survival. In hypertensive rats, nitrate supplementation restores endothelial function and reduces blood pressure through AKT/eNOS-dependent signaling. Unlike the classical nitrate-nitrite-NO pathway, the Sialin2-PI3K-AKT-NOS axis confines NO synthesis to endosomal microdomains, enabling spatiotemporally precise vasodilation. By establishing Sialin2 as a mammalian nitrate sensor, this study unveils a novel paradigm in nitrogen homeostasis and provides targeted therapeutic strategies for vascular disorders.

cell biology↗