Biology subjects

Qin, G.

Publications and source records attributed to Qin, G..

At least 19 recordsLinked to original sources

bioRxiv2026

PFOS aggravates atherosclerosis via Bacteroides caecimuris expansion-driven bile acid remodeling and subsequent intestinal FXR-TLR3 signaling cascade

BACKGROUNDPerfluorooctane sulfonate (PFOS) is a widely distributed persistent organic pollutant in the environment and has been associated with an increased risk of atherosclerosis. However, the underlying pathogenic mechanisms remain largely unclear. This study aimed to investigate the effects of PFOS on atherosclerosis and its associated gut-vascular axis. METHODSPseudo-germ-free mouse models and fecal microbiota transplantation (FMT) were used to determine the role of the gut microbiota in PFOS-induced atherosclerosis. Metagenomic sequencing was performed to characterize alterations in gut microbial composition following PFOS exposure, and targeted metabolomics was used to assess bile acid profiles in the ileum and plasma. Transcriptomic analysis of Bacteroides caecimuris (B.caecimuris) was conducted to explore the reasons for the increased abundance of B.caecimuris after PFOS exposure. In addition, intestinal transcriptomics and ChIP-qPCR were performed to validate transcriptional regulation within the FXR-TLR3 signaling axis. RESULTSAmong 127 participants with paired serum and fecal samples, including 82 patients undergoing coronary angiography with Gensini scores (GS score), fecal PFOS levels were significantly associated with lipid profiles and GS score, whereas serum PFOS showed no such association.Mechanistically, PFOS exposure promotes intestinal enrichment of B.caecimuris by upregulating its tolC gene, thereby enhancing efflux capacity.This microbial shift was accompanied by reduced levels of tauro-ursodeoxycholic acid (TUDCA) and aberrant activation of intestinal FXR signaling.Further analyses demonstrated that FXR activation upregulated TLR3 expression and promoted inflammatory responses and atherosclerosis progression via the TLR3-NF-{kappa}B signaling axis. Both intestinal epithelial-specific FXR deficiency (Fxr{Delta}IE) and TUDCA supplementation significantly suppressed pathway activation and alleviated disease phenotypes.Functional experiments identified TLR3 as a key downstream effector of FXR. Overexpression of TLR3 abolished the protective effects observed in Fxr{Delta}IE mice. Moreover, pharmacological inhibition of TLR3 using CU CPT-4a significantly improved established atherosclerotic lesions in vivo. CONCLUSIONSThis study identifies a gut microbiota-driven FXR-TLR3 signaling axis that mediates PFOS-induced atherosclerosis. These findings provide new mechanistic insights into environmentally induced cardiovascular disease and suggest potential targets for risk assessment and therapeutic intervention.

pathology↗

bioRxiv2026

Three-dimensional Virtual Adult Cardiomyocyte Transcriptomics

Obtaining transcriptomes of adult cardiomyocytes at single-cell resolution remains challenging due to their large size, elongated morphology, and frequent multinucleation. Although spatial transcriptomics preserves tissue architecture and captures gene expression in situ, current analytical frameworks largely rely on nuclear-based segmentation and are therefore poorly suited to adult cardiomyocytes. Furthermore, individual tissue sections capture only a fraction of a cardiomyocyte, preventing reconstruction of complete cell-level transcriptomes. Here we present three-dimensional virtual cardiomyocyte (3D-VirtualCM), a membrane-guided framework that integrates cell-contour similarity and optimal transport to reconstruct volumetric cardiomyocyte transcriptomes from consecutive spatial transcriptomic sections. Applying 3D-VirtualCM to infarcted adult mouse hearts, we generated a panoramic transcriptomic atlas spanning 100 m thickness at single-cell resolution. 3D-VirtualCM identified spatially and transcriptionally distinct cardiomyocyte populations within the infarct border zone, enabled high-throughput quantification of cardiomyocytes re-entering the cell cycle together with their associated molecular signatures, and revealed heterogeneous RNA distribution along the longitudinal axis of individual cardiomyocytes. By integrating three-dimensional cellular morphology with in situ transcriptomic data, 3D-VirtualCM provides a scalable approach for resolving cardiomyocyte states and spatial organization in physiological and pathological cardiac remodeling.

bioinformatics↗

bioRxiv2026

RUNX1-deficiency drives immune-active ER+ mammary tumorigenesis through activation of interferon signaling

AbstractRecurrent loss-of-function mutations in RUNX1 occur in estrogen receptor-positive (ER+) breast cancers, yet how RUNX1-loss contributes to breast tumorigenesis remains unclear. Here we used genetically engineered mouse models with luminal mammary epithelial cell (MEC)-restricted gene disruption to investigate its role in breast cancer initiation. Loss of RUNX1 alone, or together with RB1, was insufficient to drive tumor formation. In contrast, combined loss of RUNX1 and p53 induced mammary tumors with full penetrance. These tumors contained ER+ cancer cells and exhibited extensive T cell and macrophage infiltration, indicative of an immune hot microenvironment. Mechanistically, RUNX1-deficiency activated interferon signaling in luminal MECs, associated with derepression of RUNX1 target STAT1 and enhanced inflammatory responses. Consistent with these findings, human ER+ breast cancers with low RUNX1 expression displayed elevated immune signatures and poorer patient survival. Together, our results identify RUNX1-loss as a driver of an immune-active subtype of ER+ breast cancer.

cancer biology↗

bioRxiv2026

LSD1 ablation promotes mammary tumor metastasis by attenuating NK cell-mediated anti-tumor immunity

Epigenetic deregulation can alter the expression of cancer-related genes in tumor cells and may promote metastasis by influencing interactions between tumor cells and their immune microenvironment. However, the underlying immune mechanisms remain poorly understood. LSD1 (KDM1A) is a histone demethylase that has been proposed to function as a tumor and metastasis suppressor in breast cancer. Here, using the MMTV-PyMT breast cancer mouse model, we show that natural killer (NK) cells play a critical role in suppressing tumor cell metastasis to the lung, and that ablation of LSD1 leads to increased lung metastasis. This phenotype is accompanied by pronounced upregulation of immune-related genes, including major histocompatibility complex class I (MHC-I) genes, in tumor cells and by extensive remodeling of the tumor immune microenvironment, characterized by reduced abundance and maturation of NK cells. Consistent with these observations, NK cells exhibit reduced cytotoxicity toward Lsd1-null PyMT tumor cells. Notably, NK cell-mediated killing can be restored by disrupting expression of the non-classical MHC-I molecule Qa-1, a ligand for the inhibitory NK receptor CD94/NKG2A, in tumor cells. In transplantation experiments, Lsd1-null PyMT tumor cells formed significantly larger lung metastatic lesions than Lsd1-wildtype tumor cells in SCID mice, which possess functional NK cells, but not in NSG mice that lack NK cells. Collectively, these findings suggest that epigenetic deregulation in LSD1-deficient mammary tumor cells reprograms the tumor immune microenvironment, resulting in impaired NK cell-mediated tumor surveillance and enhanced metastatic progression.

cancer biology↗

bioRxiv2026

Rewiring of 3D Enhancer-Promoter Interactome Underlies Diabetic Endothelial Dysfunction

BackgroundDiabetic vascular complications are driven by endothelial dysfunction, yet the role of 3D genome organization in this process is unknown. We sought to define the alterations in chromatin architecture in diabetic endothelium and identify the key regulators involved. MethodsWe generated a high-resolution 3D epigenomic atlas of diabetic endothelial cells from mouse models and human subjects using H3K27ac HiChIP, complemented by ChIP-seq, ATAC-seq, and RNA-seq. A human cohort was used to assess protein expression in diabetic versus non-diabetic endothelial cells. To identify JUNB-interacting proteins, we performed rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME), with protein-protein interaction validated by co-immunoprecipitation. Functional validation was performed using in vitro, ex vivo, and in vivo approaches, including endothelial-specific knockdown in a diabetic hindlimb ischemia model. ResultsMulti-omics profiling revealed extensive enhancer reprogramming in diabetic endothelium, with AP-1 binding motifs being consistently and selectively enriched in downregulated enhancers across three distinct diabetic models. Analysis of a human cohort confirmed significantly reduced JUNB protein levels in diabetic endothelial cells. We identified widespread disruption of JUNB-anchored enhancer-promoter interactions, which underlies transcriptional repression of key endothelial genes. RIME and co-immunoprecipitation established the E3 ubiquitin ligase RBBP6 as a direct JUNB interactor that promotes its polyubiquitination and proteasomal degradation in response to hyperglycemia. Human cohort analysis further showed reciprocal elevation of RBBP6 in diabetic endothelial cells. Either JUNB overexpression or RBBP6 knockdown restored enhancer-promoter connectivity, reactivated vasoprotective transcriptional programs, and rescued endothelial function. Critically, endothelial-specific knockdown of Rbbp6 in diabetic mice restored endothelium-dependent vasorelaxation and improved perfusion recovery after hindlimb ischemia, independent of systemic glucose levels. ConclusionsOur study unveils a novel mechanism whereby hyperglycemia induces enhancer reprogramming and disrupts endothelial 3D genome architecture through RBBP6-mediated degradation of JUNB. The RBBP6-JUNB axis is established as a crucial link between metabolic stress and epigenomic reprogramming in vascular disease, presenting a promising therapeutic target for diabetic vasculopathy.

genomics↗

bioRxiv2026

KGBN: Augmenting and optimizing logical gene regulatory networks using knowledge graphs

Logical gene regulatory network (GRN) models provide interpretable, mechanistic representations of cellular regulation and are widely used in systems biology. However, most existing models remain incomplete, context-specific, and difficult to extend to comprehensive GRNs, limiting their broader applicability to tasks such as drug-response prediction and precision medicine. Here, add some ideas about virtual twins: With AML patients, we can use comprehensive GRNs to predict drug response. We present KGBN (Knowledge Graph-augmented Boolean Network modeling), a computational workflow for systematically augmenting logical GRN models. KGBN incorporates regulatory interactions derived from curated knowledge graphs as alternative logical rules while preserving the validated structure of existing models. Rule probabilities are optimized against experimental data to represent regulatory uncertainty and achieve data-driven calibration. Applying KGBN to acute myeloid leukemia, we show that extending an existing GRN with drug-target pathways and training against ex vivo drug-response data yields mutation-specific models that recapitulate known therapeutic sensitivities and signaling dependencies, demonstrating the utility of KGBN for interpretable, context-aware GRN modeling. (Should be predict)

systems biology↗

bioRxiv2026

Stromal estrogen signaling regulates fallopian tube homeostasis and cancer initiation via inflammatory pathways

Lifetime estrogen exposure is a major risk factor for ovarian cancer, which can originate from fallopian tube epithelial (FTE) cells. Here we report that estrogen receptor (ER) signaling in fallopian tube (FT) stromal cells plays a critical developmental role in maintaining epithelial homeostasis by promoting FTE proliferation and ciliated differentiation. Stromal ER regulates expression of inflammatory cytokines, growth factors, and extracellular matrix components, creating a differentiation-supportive, tumor-suppressive niche that coordinates epithelial regeneration during hormonal cycles. Excessive or prolonged estrogen exposure, however, shifts this niche toward a tumor-promoting state by inducing inflammation and activating stemness-associated pathways, including JAK/STAT, in FTE cells. This effect is exacerbated in genetically altered FTE cells lacking key tumor suppressors, which resist differentiation while remaining responsive to stromal proliferation signals. These findings reveal how stromal ER signaling integrates hormonal cues, inflammation, aging, and genetic susceptibility to influence early events in FT carcinogenesis. In BriefEstrogen receptor signaling in fallopian tube stromal cells maintains epithelial homeostasis by promoting proliferation and ciliated differentiation. Excessive estrogen shifts this niche toward inflammation and stemness, cooperating with genetic susceptibility to drive early fallopian tube carcinogenesis. O_FIG O_LINKSMALLFIG WIDTH=190 HEIGHT=200 SRC="FIGDIR/small/700864v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@113b543org.highwire.dtl.DTLVardef@e1465corg.highwire.dtl.DTLVardef@1d279dcorg.highwire.dtl.DTLVardef@13e782c_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIStromal ER signaling maintains fallopian tube epithelial (FTE) cell homeostasis C_LIO_LIStromal ER promotes proliferation and ciliated differentiation of FTE cells C_LIO_LIExcess estrogen shifts this stromal niche toward tumor promotion via inflammation C_LIO_LIDifferentiation-resistant mutant FTE cells respond to stromal proliferation signals C_LI

cancer biology↗

bioRxiv2026

AtlasMap: enabling low-cost, map-style exploration of million-cell single-cell atlases

Interactive visualization is critical for interpreting single-cell atlases, yet existing web-based tools struggle to handle the growing scale of multimillion-cell datasets, often constrained by browser memory limits and rendering latency. Here, we present AtlasMap, a scalable visualization framework that overcomes these bottlenecks through a multi-resolution, tile-based architecture. Unlike conventional systems that transfer cell-level data to the client, AtlasMap employs an offline preprocessing module to generate quadtree-based spatial aggregations stored in compressed Zarr v3 formats. A high-performance Go backend dynamically renders these summaries as PNG tiles, allowing a lightweight frontend to support fluid pan-and-zoom exploration similar to digital geographic maps. Systematic benchmarking against leading tools (including cellxgene and UCSC Cell Browser) demonstrates that AtlasMap decouples visualization performance from dataset size. While point-based approaches incurred prohibitive client-side memory costs or failed entirely at the 11-million-cell scale, AtlasMap maintained sub-second startup latency and a negligible browser footprint (<5 MB). By shifting computational pressure from the browser to an optimized server-side pipeline, AtlasMap enables accessible, high-fidelity exploration of ultra-scale single-cell datasets on standard hardware.

bioinformatics↗

bioRxiv2025

Repurposed endogenous virus-like vesicles mediate dendritic cell long-range antigen presentation and T cell activation for enhanced cancer vaccination

Dendritic cells (DCs) release extracellular vesicles (DEVs) that amplify antigen presentation while incorporating patient-derived, rapidly evolving antigens. By enriching peptide-MHC and co-stimulatory ligands orders-of-magnitude above donor-cell levels, DEVs emerge as potent vesicle-vaccines, although efficacy remains limited by unclear mechanisms. We show that DCs repurpose viral components to generate endogenous virus-like vesicles (VLVs) that preferentially carry peptide-MHC and high-density co-stimulatory ligands, intensifying and extending antigen presentation. Upon antigen exposure, Arc partners with endogenous envelope proteins to assemble VLVs that directly engage T cells and trigger intrinsic adjuvanticity via viral mimicry. Arc-/- DEVs failed to prime antigen-specific T cell responses, whereas Arc overexpression with its 5'-UTR stem-loop shifted DEVs toward VLVs that trafficked to lymphoid organs, drove rapid CD4-assisted priming and durable CD8-biased memory, suppressed melanoma, and prolonged survival. These reveal a viral-mimicry mechanism enabling long-range immune activation and support Arc+ VLVs as an antigen-agnostic vaccine for cancer immunotherapy. HighlightsO_LIArc+ VLVs intensify and extend DC antigen presentation in vivo C_LIO_LIArc+ VLVs directly engage T cells and trigger viral-mimic adjuvanticity C_LIO_LIArc-/- DEVs fail to prime antigen-specific T cell responses C_LIO_LIEngineered Arc+ VLVs drive durable CD8-biased memory and tumor control C_LIO_LIArc+ VLV vaccination provides long-range and cross-tumor protection in vivo C_LI

bioengineering↗

bioRxiv2025

PDE3A2 modRNA Fine-Tunes Nuclear cAMP Microdomains and Reverses Pathological Cardiac Hypertrophy

Pathological cardiac hypertrophy (PCH) is a precursor to heart failure, driven in part by dysregulated nuclear-localized cAMP (NLS-cAMP) signaling. Phosphodiesterase 3A2 (PDE3A2) is a key regulator of this nuclear cAMP microdomain, yet its selective modulation remains challenging. Here, we developed PDE3A2-modified RNA (PDE3A2-modRNA) to restore nuclear PDE3A2 levels and tested its efficacy in an angiotensin II-induced PCH model. Subcellular FRET imaging revealed that PCH hearts exhibit hyperactive NLS-cAMP due to PDE3A2 depletion. PDE3A2-modRNA selectively reduced NLS-cAMP without altering cytosolic cAMP, demonstrating precise microdomain regulation. In vivo, PDE3A2-modRNA improved cardiac function, attenuated hypertrophy and fibrosis, and shifted transcriptional programs toward physiological remodeling. Single-nucleus transcriptomics and immune profiling further revealed reduced oxidative stress and an improved cardiac microenvironment. These findings highlight PDE3A2-modRNA as a novel gene therapy that selectively restores nuclear cAMP homeostasis, reversing PCH-promoting transcriptional programs while preserving physiological cAMP signaling in cytosolic microdomains.

pathology↗

bioRxiv2025

Cellular heterogeneity and therapeutic response profiling of human IDH+ glioma stem cell cultures

Summary/AbstractGlioblastoma stem cell (GSC) cultures are initiated from glioblastoma (GBM) surgical resection tissue. They can capture and propagate key GBM primary tumor molecular and cellular features. We have deeply characterized four isocitrate dehydrogenase (IDH)-expressing (or IDH+) GSC cultures from unrelated adults to serve as cellular models for the majority of adult primary GBM. We demonstrate that GSC cultures can be continuously propagated in defined, serum-free media and 5% oxygen without requiring specialized growth substrates; have well-defined genomic and mtDNA variants and gene/protein expression profiles; and highly reproducible dose-survival curves when treated with the GBM standard-of-care therapies of ionizing radiation (IR) and temozolomide (TMZ). We also illustrate how expressed lentiviral barcodes, mtDNA variants and single cell gene expression profiling can be used to define and track cellular heterogeneity over 40 days after IR treatment. These well-characterized IDH+ GSC cultures can support many high throughput in vitro assay formats, including xenograft, organoid and other GBM disease modeling protocols. They should prove a useful resource to better understand GBM biology, and to identify new and more effective GBM therapies and treatment regimens. HighlightsO_LIGlioblastoma (GBM)-derived IDH-expressing Glioma Stem Cell (GSC) cultures can capture and propagate GBM genomic variants, gene and protein expression programs. C_LIO_LIMitochondrial DNA (mtDNA) variants identified by high accuracy Duplex DNA sequencing are abundant and sub-clonally organized in GSC cultures. C_LIO_LIGSC cultures have highly reproducible dose-survival curves for ionizing radiation and temozolomide, the GBM standard-of-care therapies. C_LIO_LIGSC culture cellular heterogeneity can be captured, characterized and tracked by using expressed lentiviral barcodes, mtDNA variants and scRNA sequencing. C_LI eTOC blurbIDH-expressing glioma stem cell cultures (GSCs) are experimentally tractable and versatile glioblastoma (GBM) cellular disease models. Deeply characterized GSC cultures can enable new work to understand GBM biology, and help identify new and more effective GBM therapies and treatment regimens. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/667532v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@82aceeorg.highwire.dtl.DTLVardef@1277c18org.highwire.dtl.DTLVardef@144188eorg.highwire.dtl.DTLVardef@1a84bb3_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

ERM proteins regulate the shape and number of Endoplasmic Reticulum-Plasma Membrane Junctions in neurons

Endoplasmic Reticulum (ER) - Plasma Membrane (PM) Junctions (EPJs) are specialized contact sites between ER membrane and the inner leaflet of PM. These junctions are critical for lipid exchange and Ca2+ signaling. In excitable cells like neurons and muscle, EPJs further modulate membrane excitability by regulating Ca2+ homeostasis. The mechanisms controlling EPJ abundance and morphology remain poorly understood. Using in vivo fluorescence imaging and electron microscopy of C. elegans neurons, we showed that EPJs form discrete, patch-like structures distributed across the soma. Through a forward genetics screen, we identified two conserved ERM (Ezrin-Radixin-Moesin) proteins, FRM-4 and FRM-1, as key regulators of EPJ shape and abundance. Both proteins localize to EPJs and exhibit liquid-liquid phase separation properties (LLPS). in vitro, purified FRM-4 binds to FRM-1, and together bundle filamentous actin. However, their presence in LLPS condensates and actin-bundling activity are mutually exclusive. In vivo, F-actin cables surround--but do not penetrate--EPJs, where FRM proteins are enriched as phase-separated condensates. Loss of FRM-4, FRM-1, or disruption of F-actin led to increased mobility of EPJs that fused into fewer but enlarged junctions. Together, our findings demonstrate that FRM-4 and FRM-1 control EPJ morphology by organizing peri-junctional F-actin networks, thereby restricting EPJ mobility and fusion.

cell biology↗

bioRxiv2025

SND1 Impairs Calcium Homeostasis in Right Ventricular Failure by Binding and Destabilizing SERCA2a in Cardiomyocytes

BackgroundRight ventricular failure (RVF) is a major contributor to a poor prognosis in patients with pulmonary arterial hypertension (PAH); however, its underlying molecular mechanisms remain incompletely understood. We identified a significant upregulation of the cardiac fetal gene SND1 in the right ventricular myocardium of RVF rats. This upregulation may be a key component of cardiac fetal reprogramming and play a critical role in RVF progression. However, the precise molecular mechanisms by which SND1 contributes to RVF remain unelucidated. MethodsRat models of PAH were established by intraperitoneal injection of monocrotaline (MCT). The pulmonary artery pressure and right ventricular function of rats were assessed using transthoracic echocardiography combined with right heart catheterization. Weighted gene co-expression network analysis (WGCNA) of proteomic data identified a significant association between SND1 upregulation and RVF progression. Calcium transient and contractility measurements in single cardiomyocytes were performed to evaluate the effect of SND1 on sarcoplasmic reticulum (SR) function. Liquid chromatography with mass spectrometry/mass spectrometry analysis combined with co-immunoprecipitation (Co-IP) was used to identify sarcoplasmic/endoplasmic reticulum Ca2+-ATPase 2A (SERCA2a) as the protein interacting with SND1. The effect of SND1 on the progression of RVF was validated using cardiomyocyte-specific SND1 conditional knockout rats. ResultsProteomic and molecular analyses revealed that the cardiac fetal gene SND1 is reactivated in RVF and may contribute to disease progression. In vitro, SND1 knockdown in neonatal rat ventricular myocytes (NRVMs) enhanced contractility, improved calcium transient amplitude and velocity, and increased cell survival under calcium overload. Mechanistically, SND1 interacts with SERCA2a and promotes its proteasomal degradation, impairing SR calcium reuptake. SND1 knockdown restored SERCA2a stability. In vivo, cardiomyocyte-specific SND1 knockout improved right ventricular function, reduced SERCA2a degradation and apoptosis, and increased survival in RVF rats. ConclusionOur study revealed that SND1 reactivation (a fetal gene) contributes to the progression of RVF by promoting SERCA2a degradation and impairing calcium handling. Targeted suppression of SND1 enhances cardiomyocyte contractility and survival, highlighting SND1 as a potential therapeutic target for improving right ventricular function in PAH. Clinical perspectiveO_ST_ABSWhat Is New?C_ST_ABSO_LIThis study identifies SND1, a reactivated fetal gene, as a key contributor to right ventricular failure (RVF) progression in pulmonary arterial hypertension (PAH). C_LIO_LISND1 interacts with SERCA2a, promoting its proteasomal degradation, which disrupts sarcoplasmic reticulum calcium reuptake and weakens cardiomyocyte contractility. C_LIO_LICardiomyocyte-specific SND1 deletion restores SERCA2a levels, improves calcium handling, enhances right ventricular function, and increases survival in RVF rats. C_LI What Are the Clinical Implications?O_LIThe reactivation of fetal genes such as SND1 is not just a marker but a pathogenic driver in maladaptive right ventricular remodeling. C_LIO_LITargeting SND1 represents a novel therapeutic approach to improve right ventricular contractility and prevent heart failure progression in patients with PAH. C_LIO_LIThese findings may inform the development of gene- or protein-targeted therapies aimed at stabilizing SERCA2a and preserving right heart function in high-risk populations. C_LI

cell biology↗

bioRxiv2025

Two telomere-to-telomere, gap-free genome assemblies and comparisons revealed the conserved key genes associated with sugar accumulation in Rubus genus

For the first time, we assembled two highly continuous, completely gap-free reference genomes of the Rubus subgenus: Rubus hirsutus Thunb. Penglei (XMM) and Rubus eustephanos Focke ex Diels Dahongpao (DHP), which are widely distributed in southern China with similar phenotypic traits (Figures 1A, 1B, and Figure S1), yet ripe fruits display distinct sugar accumulation levels (Table S1), making them ideal candidates for investigating the mechanisms underlying sugar accumulation in the Rubus genus. The XMM (213.53 Mb, 28,204 genes) and DHP (218.26 Mb, 28,569 genes) genomes exhibit close evolutionary relationships, diverging approximately 3.21 Mya. Comparative genomics identified extensive synteny, interspecific structural variations (translocations, inversions, segmental duplications), and presence/absence variation (PAV). Using Hi-C interaction heatmaps and Sanger sequencing, we validated interspecific structural inversions. Additionally, we identified a sugar transporter gene (MFS1), which is present in XMM but absent in DHP. Combined analysis of the gene family expansion/contraction and transcriptome identified two conserved key genes (RhSTP13 and RhSTP7) associated with sugar accumulation in Rubus genus and displayed distinct roles through transient expression assay. To facilitate functional genomics study, we also established a comprehensive Rubus database, RubusDB, a freely accessible repository consolidating all genomic, transcriptomic and phenotypic data of Rubus genus. These findings provide a foundational framework for elucidating the genetic basis of sugar accumulation, genome diversification, and trait improvement in Rubus species. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=170 SRC="FIGDIR/small/646780v2_fig1.gif" ALT="Figure 1"> View larger version (72K): org.highwire.dtl.DTLVardef@1baca20org.highwire.dtl.DTLVardef@2c01eaorg.highwire.dtl.DTLVardef@131dc00org.highwire.dtl.DTLVardef@62a04f_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFIGURE 1.C_FLOATNO Phenotypic characterization, de novo genome assemblies, variation, and evolution of Rubus hirsutus Thunb. Penglei (XMM) and Rubus eustephanos Focke ex Diels Dahongpao (DHP). (A) Illustration of XMM whole plants, stem, flower bud and flower, respectively. (B) Illustration of DHP whole plants, stem, flower bud and flower, respectively. (C) The chromosome karyotype analysis of XMM. Bar = 10 {micro}m. (D) Circular diagram of XMM and DHP reference genomes. (a) Chromosomes are represented by centromeres (dark red) and telomeres (blue); (b) CEN18 density; (c) CEN17 density; (d) Gene density; (e) TE density; (f) PAV density; (g) SNP density; (h) Collinear lines at the center of diagram highlight homoeologous chromosomes relationships and non-homoeologous regions. (E) Genomic alignments between XMM and DHP. Inversions, duplications and translocations are marked with orange, blue and green ribbons, respectively. (F) Identification of large inversions in chromosome 7 between XMM and DHP. The three heatmaps show the chromatin interaction matrix, including mapping Hi-C data of DHP against DHP genome (left), mapping Hi-C data of DHP against XMM genome (middle) and mapping Hi-C data of XMM against XMM genome (right). The lower panel illustrates gene alignments between XMM and DHP. (G) Synteny, structural rearrangements, monomer, and identity distribution in the 16-20 Mbp region of chromosome 6 between XMM and DHP. (H) Local genome synteny of chromosome 5, with a structural variation that is present only in XMM. The PAV region includes a gene related to sugar transporter (MFS1, XMM05G025540). (I) Gene-level matchings of MFS genes in the PAVs region between XMM and DHP. (J) Phylogenetic relationships and divergence times between raspberries and other Rosaceae species. The black numbers close to the divergence nodes indicate the divergence times and the red bars represent the 95% confidence intervals. The red and black numbers indicate expanded and contracted ortholog groups at the corresponding node. Scale bar corresponds to 10 Mya. C_FIG

genomics↗

bioRxiv2025

Layered stomatal immunity contributes to resistance of Vitis riparia against downy mildew Plasmopara viticola

Downy mildew (DM), caused by Plasmopara viticola, is one of the most serious grapevine diseases. Resistant grapevines are a well-known tool for mitigating pathogen-caused damage. We evaluated 29 global grapevine cultivars from 7 species for the sensitivity to P. viticola. Chardonnay belonging to the sensitive species V. vinifera and Qingdahean belonging to the well-known resistant species V. riparia were chosen for further investigation on the resistance mechanism against DM. Unlike Chardonnay, Qingdahean exerted an inhibitory effect on stomatal targeting, suppression of stomatal closure, stomatal penetration of P. viticola, and the development of primary hyphae and haustoria during the early phase of infection, and contained higher levels of malondialdehyde (MDA), which was significantly increased by P. viticola infection, toxic to the pathogen and had an interfering effect on the stomatal targeting. Furthermore, Qingdahean resisted pathogen invasion through the rapid induction of guard cell death and the hypersensitive responses (HR) of other cell types. These findings suggest that resistance to P. viticola consists of layered stomatal immunity in addition to the well-known HR in V. riparia, which is overcome by the pathogen in V. vinifera.

plant biology↗

bioRxiv2025

Dynamic and Biphasic Regulation of Cell Migration by Ras

Ras has traditionally been regarded as a positive regulator and therapeutic target due to its role in cell proliferation, but recent findings indicate a more nuanced role in cell migration, where suppressed Ras activity can unexpectedly promote migration. To clarify this complexity, we systematically modulate Ras activity using various RasGEF and RasGAP proteins and assess their effects on migration dynamics. Leveraging optogenetics, we assess the immediate, non-transcriptional effects of Ras signaling on migration. Local RasGEF recruitment to the plasma membrane induces protrusions and new fronts to effectively guide migration, even in the absence of GPCR/G-protein signaling whereas global recruitment causes immediate cell spreading halting cell migration. Local RasGAP recruitment suppresses protrusions, generates new backs, and repels cells whereas global relocation either eliminates all protrusions to inhibit migration or preserves a single protrusion to maintain polarity. Consistent local and global increases or decreases in signal transduction and cytoskeletal activities accompany these morphological changes. Additionally, we performed cortical tension measurements and found that RasGEFs generally increase cortical tension while RasGAPs decrease it. Our results reveal a biphasic relationship between Ras activity and cellular dynamics, reinforcing our previous findings that optimal Ras activity and cortical tension are critical for efficient migration. SignificanceThis study challenges the traditional view of Ras as solely a positive regulator of cell functions by controlling of gene expression. Using optogenetics to rapidly modulate Ras activity in Dictyostelium, we demonstrate a biphasic relationship between Ras activity and migration: both excessive and insufficient Ras activity impair cell movement. Importantly, these effects occur rapidly, independent of transcriptional changes, revealing the mechanism by which Ras controls cell migration. The findings suggest that optimal Ras activity and cortical tension are crucial for efficient migration, and that targeting Ras in cancer therapy should consider the cells initial state, aiming to push Ras activity outside the optimal range for migration. This nuanced understanding of the role of Ras in migration has significant implications for developing more effective cancer treatments, as simply inhibiting Ras might inadvertently promote metastasis in certain contexts.

cell biology↗

bioRxiv2025

Master control genes in the regeneration of rod photoreceptors from endogenous progenitor cells in zebrafish retina

Retinitis Pigmentosa is a chronic retinal degenerative disease characterized by the gradual loss of rod, and later, cone photoreceptors until the individual is completely blind. Regeneration of photoreceptors from endogenous progenitor cells is a possible therapeutic approach, but mammals do not do this naturally. Mammalian models can be induced to generate retinal progenitors from Muller glial cells, but there has been limited success in rod photoreceptor specific regeneration. Unlike mammals, zebrafish have the natural ability to regenerate neurons after injury or disease and can provide insight into the molecular mechanisms of regeneration. In this study, we used a zebrafish model of Retinitis Pigmentosa to investigate the class of progenitors responsible for rod photoreceptor regeneration in the context of chronic disease. Using bioinformatic analyses of single-cell RNA sequencing datasets, we identified master regulator genes responsible for proliferation of retinal progenitors, differentiation of progenitors into rod photoreceptors, and maturation of the new rod photoreceptors. Using transient knockdown of gene expression in adult regenerating retina we determined that e2f1, e2f2, e2f3 and aurkb are critical for proliferation of progenitors, and prdm1a is critical for differentiation of progenitors into rod photoreceptors. This study provides a list of master regulators responsible for the specific regeneration of rod photoreceptors during chronic retinal degeneration. Impact StatementIdentification of master regulating genes that drive the proliferation of progenitor cells and their differentiation specifically into rod photoreceptors provides insight that can be used to develop regenerative therapies for retinal degenerative diseases.

neuroscience↗

bioRxiv2025

FaRIF at the Core of Strawberry Fruit Ripening: Deciphering its Targets and Interaction Networks

Ripening Inducing Factor (RIF) is a key NAC transcription factor regulating strawberry fruit ripening. Previous studies using RIF-RNAi and overexpression lines in Fragaria x ananassa and CRISPR knock-out lines in F. vesca have established the role of RIF in controlling ABA biosynthesis and signaling, cell wall remodeling, and secondary metabolism. In this study, we deciphered FaRIFs transcriptional regulatory network by combining ChIP-seq-based identification of its direct targets with an analysis of FaRIF-RNAi transcriptome data. These analyses revealed FaRIFs direct role in multiple aspects of strawberry fruit ripening, including the regulation of ripening-related transcription factors, phytohormone content and signaling, primary and secondary metabolism, and cell wall degradation. Additionally, using the TurboID-based proximity labeling approach, we have identified FaRIF interactors, including proteins involved in mRNA and protein homeostasis, as well as several NAC transcription factors. Among these, FaNAC034 was found to synergistically enhance FaRIFs transcriptional activity. This integrative analysis, combining transcriptome analysis, in vivo ChIP-seq, and proximity labeling, broadens our knowledge of FaRIF-mediated transcriptional networks and interaction partners, providing valuable insights into the molecular mechanisms underlying strawberry fruit ripening regulation by this transcription factor.

plant biology↗