Biology subjects

Song, J.

Publications and source records attributed to Song, J..

At least 73 records · Page 4Linked to original sources

bioRxiv2026

La1: an evolutionarily conserved player in the Arabidopsis telomerase complex

Analysis of yeast and mammalian telomerase ribonucleoprotein (RNP) complexes reveals striking divergence in their biogenesis and protein complements. However, little is known about telomerase in plants. In addition to the catalytic subunit TERT and the templating RNA TR, we previously reported Arabidopsis thaliana contains two telomerase accessory factors, AtNAP57, a dyskerin homolog that in mammals is essential for telomerase activity, and the telomeric DNA binding protein AtPOT1a. Both proteins stimulate Arabidopsis telomerase repeat addition processivity. Here we employ quantitative mass spectrometry (MS) to further examine telomerase in Arabidopsis. Unexpectedly, dyskerin and AtPOT1a were not detected in our purified complexes, but AtLa1, an RNA-binding factor that recognizes the UUU-3'OH of RNA Pol III transcripts, was highly enriched. RNA-IP assays confirmed AtLa1 association with AtTR in vivo. RNAi-mediated knockdown of AtLa1 strongly diminished telomerase activity, indicating AtLa1 is required for its function in vivo. In vitro binding studies revealed that AtLa1 contacts AtTR via the UUU-3'OH and a plant-specific P1a-P1b-P4 three-way junction (TWJ). Since the TWJ is also required for AtNAP57 binding, the data suggesting that AtNAP57 and AtLa1 compete for AtTR binding or sequentially associate during RNP during biogenesis. In contrast to AtNAP57, AtLa1 did not stimulate telomerase activity when TERT and TR were assembled in vitro, consistent with function during a different step in telomerase assembly. We conclude Arabidopsis telomerase employs multiple accessory factors utilized by both mammalian and single-celled relatives. Further exploration of Arabidopsis telomerase may offer novel insight into telomerase evolution and mechanisms of biogenesis. Significance of ResearchQuantitative mass spectrometry of Arabidopsis telomerase uncovered AtLa1, a homolog of ciliate and yeast proteins that promotes telomerase maturation. AtLa1 is essential for telomerase function in vivo, and in vitro it engages the same region of AtTR bound by AtNAP57, homologous to a telomerase accessory from mammals.

plant biology↗

bioRxiv2025

Adipocyte-related genes analysis contributes to the prognosis of atrial fibrillation

BackgroundPatients with mild left atrial appendage fibrosis have a significantly lower rate of atrial fibrillation (AF) recurrence after 5 years compared to those with moderate or severe fibrosis, which presented a significantly increased positive area of cellular senescence. MethodsGSE135445, a RNA-sequencing dataset between epicardial adipose tissue (EAT) from patients with persistent non-valvular AF and sinus rhythm (SR), was downloaded and analyzed and hub genes were obtained. To obtain the abundance of immune cells, the CIBERSORT algorithm with 100 permutations was applied. The senescent hub genes were obtained and validated using human blood samples. ResultsA total of 164 up-regulated and 317 down-regulated DEGs was obtained between EAT from subjects with AF and SR. Using immune infiltration analysis in whole PAT related DEGs, the abundance of M0 macrophages was significantly different between PAT and SAT and 22 M0 macrophages-related DEGs were also obtained, such as MMP7, APOE, CCND1, MMP12 and APOC1. Venn diagram was utilized to obtain the same transcripts between senescence datasets and DEGs and PPI network was used to 94 overlapping genes. The top15-degree senescence adipicytes hub genes were explored. To investigate senescence-related hub genes effects on AF progression, we collected the blood samples of patients with paroxysmal atrial fibrillation and persistent atrial fibrillation. There were no significant differences at baseline characteristics and laboratory examinations at 1d after admission except heart failure history and function examinations, for instance, ALT, LDL, LVEF and LA diameters. Using univariate analysis and multivariate analysis, heart failure history, ALT and LA diameters can be prognostic factors for AF progression. BMP7, COL4A3, COL4A4, CHRD, IRX1, SPON1, ALPL, TCF19 and SIX2 were validated to be highly expressed in persistent atrial fibrillation compared to paroxysmal atrial fibrillation. ConclusionBased on our current study, BMP7, COL4A3, COL4A4, CHRD, IRX1, SPON1, ALPL, TCF19 and SIX2 were validated to be highly expressed in persistent atrial fibrillation compared to paroxysmal atrial fibrillation, which may be potential therapeutic targets to treat AF progression and improve patients prognosis.

genetics↗

bioRxiv2025

Tibetan near-complete pangenome reveals complex variants underlying high-altitude adaptation

Genomic diversity in indigenous populations offers critical insights into human evolution and population-specific adaptation. Here, we generated 70 near-complete, fully phased genome assemblies from 35 high-altitude Tibetan trios and identified 4.55 million small variants and 63,031 structural variants (SVs) absent from the current global pangenome reference. Comparative analyses with a 595 globally diverse long-read genome dataset revealed 207 previously uncharacterized Tibetan-enriched SVs spanning 275 genes implicated in high-altitude physiological adaptation. Genotyping these SVs in 1,164 Tibetan and Han individuals with 88 physiological traits reveals five variants significantly associated with cardiopulmonary and hematological phenotypes central to hypoxia adaptation. We further map 2.45 Gb of archaic hominin sequences in Tibetans and uncover 18 previously unrecognized introgressed regions enriched in Tibetans with genes related to hematopoiesis and lung function. These regions harbor five Tibetan-enriched SVs, indicating that archaic introgression contributed SVs relevant to human adaptation. Together, these findings reveal substantial uncharacterized genomic diversity in Tibetans and highlight a previously underappreciated role of SVs and archaic SVs in shaping human evolution and high-altitude adaptation.

genomics↗

bioRxiv2025

Vascular Basement Membrane Laminins Modulate Functional Zonation of Cerebral Microvessels

We investigated whether vascular basement membrane (BM) laminins influence vascular zonation by performing single-cell RNA sequencing on cerebral blood vessels from mice lacking the major vascular laminins in endothelial and smooth muscle BMs, laminin 4 (Lama4-/-) and laminin 5 (Tek-cre:Lama5-/-), and wild-type littermates. Our dataset expands existing cerebral vascular transcriptomic profiles and reveals that Lama4-/- endothelial cells exhibit increased arterial marker expression and reduced postcapillary venule identity. In vitro and in vivo studies indicate that compensatory upregulation of laminin 5 in Lama4-/-vessels enhances expression of junctional proteins (Ocln, Cldn5) and promotes vessel contractility via increased expression of contractile molecules in mural cells. Additionally, loss of Lama4 upregulates expression of large artery markers (Gja4, Dll4, Tgfb2) and results in elevated autotaxin (Enpp2) levels, a key enzyme in lysophosphatidic acid production implicated in stroke. Accordingly, Lama4-/- mice exhibit worsened stroke outcomes, driven not by immune infiltration or junctional defects, but by increased vascular permeability likely mediated by autotaxin and/or activation of resident myeloid cells. Our data suggest that laminin 4/5 ratios in vascular BMs regulate functional zonation between arterioles, capillaries and postcapillary venules by modulating metabolic pathways in endothelial and mural cells, and indirectly influencing resident myeloid cells.

cell biology↗

bioRxiv2025

Multimodal AI Decodes Extreme Environment Functional Dark Matter Beyond Homology

Functional annotation of proteins from extreme environments represents a major bottleneck for bioresource discovery, as a vast reservoir of functional dark matter defies existing homology-based methods. We demonstrate that environmental pressures impart conserved physicochemical energy signatures that co-determine protein function with sequence and structure. Here we developed ACCESS, a multimodal graph neural network employing hierarchical contrastive learning with a tailored label-sample co-embedding to fuse energy, sequence, and structural information and overcome homology scarcity. ACCESS surpasses state-of-the-art methods including BLASTp and CLEAN in annotating low-identity enzymes. Applied to extreme environmental metagenomics, we constructed a function map of extremophile enzymes to expand the biocatalyst library, pinpointed functionally critical residues to guide rational design, and enabled large-scale, function-based macro-evolutionary analyses. This paradigm transcends the limitations of homology, illuminating protein dark matter and accelerating the exploration of the biospheres functional diversity for applications in biotechnology and therapeutic development.

bioinformatics↗

bioRxiv2025

Structural basis of HSV-1 DNA replication origin-binding protein UL9

The herpesvirus DNA replication machinery comprises a battery of viral enzymes that orchestrate viral genome synthesis. In herpes simplex virus type 1 (HSV-1), the machinery consists of seven essential components, including the origin-binding protein UL9, the single-stranded DNA (ssDNA)-binding protein ICP8, the heterodimeric DNA polymerase complex UL30-UL42, and the heterotrimeric helicase-primase complex UL5-UL8-UL52. UL9, a superfamily 2 (SF2) helicase, functions as a dimer that specifically recognizes replication origins and unwinds duplex DNA to initiate replication. Furthermore, UL9 recruits the replication machinery through interactions with viral components and engages cellular proteins that regulate its function. However, the molecular mechanisms underlying UL9s multifunctionality remain incompletely understood due to the lack of structural information. Here, we present cryo-electron microscopy structures of UL9 in both apo and DNA-bound states. Together with biochemical and enzymatic assays, we elucidate the molecular basis of UL9 dimerization, origin recognition and allosteric regulation by ICP8.

microbiology↗

bioRxiv2025

Global Insights into Evolution and Adaptation in KPC and NDM Coproducing Carbapenem-Resistant Klebsiella pneumoniae.

ObjectivesThe worldwide dissemination of carbapenem-resistant Klebsiella pneumoniae co-producing KPC and NDM (KPC-NDM-CRKP) poses a substantial clinical challenge. MethodsThis study characterized 5 KPC-NDM-CRKP isolates from a tertiary hospital in southern China and integrated 460 global isolates genomes to demonstrate the population framework of this epidemic pathogen. Results5 clinical isolates were multidrug resistance, exhibiting high level resistance to first-line drugs including carbapenems and ceftazidime/avibactam. Globally, KPC-2-NDM-1 (50.3%) were the most common and an increasing trend of ST11-KL64 (20%) isolates carrying iucA and rmpA/A2. Resistance and virulence genes were positively associated with specific mobile elements including blaKPC-3 with Tn4401, iucABC with IncHI1B, iroBCDN with IncQ1. The phylogenetic analysis revealed distinct lineage-specific mutations and pan-genome enrichments synergistically promoted adaptive evolution: cluster 1 had membrane transport and secretion but enhanced immune evasion and horizontal gene transfer, cluster 3 adapted metabolically for nutrient-limited niches; cluster 4 reprogrammed metabolism for host adaptation, cluster 6 displayed membrane repair and reduced virulence (e.g., KC187). High-risk iucA/rmpA-positive isolates in cluster 2 acquired enhanced virulence and metabolic adaptive capacity through recombination hotspots (ABC transporters DdpABCD, efflux systems MdtABCD, metabolic enzymes XylB and MtlD, regulators BaeR and OmpR) and pan-genome enrichment (siderophore biosynthesis, toxin-antitoxin VapC and restriction-modification systems). Functionally, these traits correlated with high mucoviscosity, serum resistance, siderophore production and lower survival rates in G. mellonella that contribute to epidemiological success. ConclusionsThese findings demonstrated the discrete mutation, horizontal transfer, and accessory genome plasticity collectively drove the epidemiological success of KPC-NDM-CRKP.

microbiology↗

bioRxiv2025

TGA family of transcription factors are nitric oxide sensors in the root stem cell niche

Plant root development is tightly regulated and depends on the coordination among different cell types located in the root stem cell niche (SCN). A complex network of regulators includes the gasotransmitter nitric oxide (NO) known to inhibit primary root growth, modify root architecture and alter meristem organisation. However, little is known about the molecular targets and the mechanistic insights of this signalling molecule during root SCN homeostasis. Here, genetic, molecular and physiological evidence support that TGA transcription factors of the bZIP family, and specifically PERIANTHIA (PAN), contribute to NO-mediated root stem cell regulation. NO induces reversible S-nitrosylation of PAN, thereby inhibiting its binding to DNA and associated transcriptional activation. In turn, the protein-SNO reductase activity of TRXh5 is able to denitrosylate PAN. This switch on and off mechanism of PAN activation modulates WOX5 expression and quiescent centre activity, which alters columella stem cell maintenance through a NO-dependent mechanism. Different TGA members interact with PAN and are also S-nitrosylated, whose expression in the root SCN together with their accumulated mutations contribute to NO sensing during root apical meristem development. Collectively, these findings reveal a molecular framework where NO controls the ability of PAN to bind to its targets as a master regulator of the root SCN.

plant biology↗

bioRxiv2025

Matrix stiffness induces endothelial network senescence

Identifying the drivers of cellular senescence that contribute to the decline in tissue function related to aging- and disease is critical for developing restorative interventions. Here, we investigated how increased mechanical stress from extracellular matrix (ECM) stiffening shapes endothelial cell (EC) senescence. We developed a 3D human in vitro model that decouples mechanical stress from inflammatory or biochemical inputs, enabling the study of senescence responses to tissue stiffening alone. We found that matrix stiffening induces an EC senescence phenotype with elevated p16/p21 and an immunomodulatory senescence-associated secretory phenotype (SASP), in the absence of inflammatory signals. This mechano-induced senescence state engaged a Notch-JNK-FOS signaling axis, and pharmacologic inhibition of Notch attenuated stiffness-induced senescence. Supporting the translational relevance of this mechanism, analysis of fibrotic capsule tissue from patients with synthetic breast implants, a model of localized, mechanically driven fibrosis, revealed increased p16+Notch1+ endothelial populations. Complementary single-cell RNA sequencing data confirmed their enrichment in Notch/JNK- and SASP-related gene programs. Together, these findings define vascular senescence as a mechanosensitive process and identify tissue stiffening as an upstream aging signal. Our work offers a human-relevant platform for studying targetable stages of endothelial mechanoaging.

bioengineering↗

bioRxiv2025

A Rare Multipotent Peg-like Epithelial Cell is a Candidate Cell-of-Origin for High-Grade Serous Ovarian Cancer

To illuminate the origins of high-grade serous ovarian cancer (HGSOC), the most lethal and common form of ovarian cancer, we have created a comprehensive living organoid biobank of human fallopian tube tissue, which is thought to be the origin of this cancer. Through optimized culture protocols and integrated multi-omic profiling--including single-cell RNA sequencing, chromatin accessibility (ATAC) analysis, proteomics, and secretomics--we assembled the largest molecular atlas of the fallopian tube epithelium to date. This resource revealed diverse epithelial lineages and regulatory networks, including a rare, multipotent epithelial subpopulation with hybrid epithelial-mesenchymal features. Spatially localized to the basal epithelium and resembling mesonephric developmental precursors, these cells exhibit transcriptomic and proteomic similarities to the mesenchyme-like subtype of HGSOC, implicating them as potential cells-of-origin. Their molecular identity is preserved in organoid models, enabling future mechanistic and translational studies. This resource, which advances fundamental understanding of epithelial hierarchy and cancer susceptibility, provides a platform to inform early detection and prevention strategies for aggressive forms of ovarian cancer. HighlightsO_LIEstablishment of a clinically annotated fallopian tube organoid biobank enables delineation of epithelial lineage hierarchies and differentiation capacity. C_LIO_LIMulti-omics integration defines robust, lineage-specific transcriptional and regulatory networks in the fallopian tube epithelium. C_LIO_LIA rare basal epithelial subpopulation with mesenchymal features aligns with a mesenchyme-like subtype of high-grade serous ovarian cancer. C_LIO_LIRare basal peg cells exhibit fetal mesonephric developmental transcriptional programs and are maintained ex-vivo in fallopian tube organoids. C_LI

cancer biology↗

bioRxiv2025

Tumors mimic the niche to inhibit neighboring stem cell differentiation

Although it is well-established that stem cells maintain tissue homeostasis while tumors disrupt it, the mechanisms by which tumors influence the development of nearby stem cells remain poorly understood. Using Drosophila ovaries as a model system, here we discovered that bam or bgcn mutant germline tumors inhibit the differentiation of neighboring wild-type germline stem cells (GSCs). Mechanistically, these tumor cells mimic the stem cell niche by secreting the BMP ligands Dpp and Gbb, but at reduced levels, resulting in moderate BMP signaling activation in adjacent GSCs. Such BMP signaling activation is sufficient to repress bam transcription, thereby blocking GSC differentiation. To our knowledge, this is the first example that tumors can functionally mimic a stem cell niche to inhibit the differentiation of neighboring wild-type stem cells. Similar regulatory paradigms may operate in mammalian tissues, including humans, during tumorigenesis.

developmental biology↗

bioRxiv2025

Layer-specific glutamatergic inputs and Parvalbumin interneurons modulate early life stress induced alterations in prefrontal glutamate release during fear conditioning in pre-adolescent rats

Exposure to early life stress (ELS) can exert long-lasting impacts on emotional regulation. The corticolimbic system including the basolateral amygdala (BLA), ventral hippocampus (vHIP), and the medial prefrontal cortex (mPFC) plays a key role in fear learning. Using the limited bedding paradigm (LB), we examined the functional consequences of ELS on excitatory and inhibitory tone in the prelimbic (PL) mPFC after fear conditioning in rats. In adults, LB exposure enhanced in vivo glutamate release in the PL mPFC during fear conditioning in male, but not female offspring. In contrast, the glutamate response to fear conditioning was diminished in LB-exposed pre-adolescent males, but not females. We investigated whether reduced glutamatergic inputs and/or elevated inhibitory tone might contribute to the diminished glutamate response in the mPFC following LB in pre-adolescent male rats. Indeed, we found that LB exposure specifically increased the activation of PV, but not SST interneurons in layer V, but not layer II/III of the PL mPFC in fear-exposed pre-adolescent males. Presynaptic glutamate release probability was reduced by LB exposure in layer V, but increased in layer II/III of the PL mPFC. These functional changes might be related to the LB-induced alterations in the bilaminar distribution of BLA and vHIP projections to the PL mPFC we observed in pre-adolescent males. Overall, our findings suggest that ELS modifies glutamate release and PL mPFC function during fear conditioning in a sex- and age-dependent fashion, likely through layer-specific shifts in excitation/inhibition balance. Significance StatementEarly life stress (ELS) increases the risk of developing affective disorders and long-term emotional dysregulation might arise from disruptions in the development of the fear circuitry. This study examines how ELS modifies fear-induced activity of long-range excitatory projections and local inhibitory microcircuits in the developing prefrontal cortex. We tested whether ELS-induced alterations in prefrontal cortex function are sex- and age-dependent, leading to the well-documented sex differences in emotional behavioral outcome. Studying how ELS differentially modifies regional excitatory inputs and cell type specific activation in the prefrontal cortex during a critical period of brain development will enhance our understanding of the neurobiological mechanisms underlying the pathogenesis of emotional dysregulation and inspire more targeted intervention after exposure to early adversity.

neuroscience↗

bioRxiv2025

VO: The Vaccine Ontology

With the widespread use of vaccines in research and clinical settings, there is an urgent need to standardize vaccine representation, integrate information across diverse vaccine types, and support computer-assisted reasoning. Accordingly, we have since 2007 developed the community-based Vaccine Ontology (VO), which aligns with the Basic Formal Ontology and adheres to OBO Foundry principles. VO models ontologically vaccines, vaccine components, vaccine immune responses, vaccine investigation studies and other vaccine-related topics. VO represents more than 10,000 vaccines targeting 289 infectious pathogens and cancers in humans and over 30 nonhuman animal species. VO provides mappings to external resources such as RxNorm, CVX, FDA, and USDA. Various VO use cases exist. VO facilitates vaccine standardization in resources such as the VIOLIN vaccine database, ImmPort, and the Vaccine Adjuvant Compendium (VAC). Semantic queries can be made to query VO. VO has been shown to enhance experimental and clinical vaccine data analysis and vaccine literature mining. Overall, VO standardizes vaccine modeling and representation and greatly supports vaccine AI research in the Semantic Web era.

bioinformatics↗

bioRxiv2025

Single-cell multiomic human brain atlas reveals regulatory drivers of cortical regionality

Distinct regional functionality of the human cortex is orchestrated by diverse cellular and molecular processes, yet the underlying regulatory mechanisms remain poorly understood. We performed multiomic single-cell and spatial characterization of nine regions of the human cortex to define the gene regulatory networks and transcription factors that govern cell-type and region specificity. With the combined data of over three million cells, two striking patterns of cortical neuron specialization were uncovered: a rostral-caudal gradient of calcium regulatory machinery, and subunit switching of multiple signaling receptor families across the transmodal-sensory axis. Gene regulatory network analysis revealed putative transcriptional regulators of cortical neuron specialization with cell-type- and region-specific gene regulation patterns. While regionalization was observed in gene expression, chromatin accessibility, and spatial distributions, these modalities exhibited distinct cortical patterns. Our findings illuminate critical neuronal pathways that vary throughout the cortex and the gene regulatory networks that establish cortical regionalization in the human brain.

neuroscience↗

bioRxiv2025

AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction

Whole-genome sequencing (WGS) data are an invaluable resource for understanding antimicrobial resistance (AMR) mechanisms. However, WGS data are high-dimensional and the lack of standardized genomic representations is a key barrier to AMR prediction. To fully explore these high-resolution data, we propose AMR-GNN, a graph deep learning-based framework that integrates multiple genomic representations with graph neural networks (GNN) to enable AMR prediction from genomic sequence data. We tested AMR-GNN with Pseudomonas aeruginosa, a clinically relevant Gram-negative bacterial pathogen known for its complex AMR mechanisms. We demonstrate that AMR-GNN addresses several key problems in AMR prediction with data-driven machine learning (ML) approaches, including using multiple genomic representations to enhance performance, mitigate the influence of clonal relationships, and identify informative biomarkers to provide explainability and generate novel hypotheses. Follow-up validation on the largest publicly available dataset spanning both Gram-negative and Gram-positive pathogens highlights AMR-GNNs broad applicability in detecting AMR in diverse and clinically relevant pathogen-drug combinations.

genomics↗

bioRxiv2025

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

The escalating crisis of antibiotic resistance underscores the urgent need for innovative anti-infective agents, such as antimicrobial peptides (AMPs), though their discovery and optimization remain challenging. To address this, we introduce AMP-D3, a comprehensive framework that integrates AMP generation, identification, and screening into a cohesive workflow. Central to AMP-D3 is PACD, an advanced generator that utilizes contrastive diffusion to produce diverse, functionally tailored AMPs. For precise recognition, the CAST model combines ESM-2 embeddings with localized sequence features through cross-modal attention, yielding an accuracy of 0.891--a 2.2% enhancement over current state-of-the-art approaches. Additionally, a robust multi-attribute prediction module evaluates key properties, including antifungal and anticancer potential, across twenty-two distinct characteristics. Furthermore, a meticulously designed screening pipeline identifies high-efficacy AMP candidates against critical pathogens, such as C. albicans, E. coli, P. aeruginosa, and S. aureus. This process assessed 10,000 peptides generated by PACD alongside 43,000 from prior studies, selecting the top 100 candidates per pathogen for further analysis. Experimental validation confirms that these peptides exhibit structural diversity and binding affinities comparable to naturally occurring AMPs, as evidenced by AlphaFold2 structural predictions and molecular docking studies. Thus, AMP-D3 represents a transformative approach to the design and expedited discovery of clinically viable AMPs.

bioinformatics↗

bioRxiv2025

Epigenetic Programming of Estrogen Receptor in Adipose Tissue by High Fat Diet Regulates Obesity-Induced Inflammation

Adipose inflammation plays a key role in obesity-induced metabolic abnormalities. Epigenetic regulation, including DNA methylation, is a molecular link between environmental factors and complex diseases. Here we found that high fat diet (HFD) feeding induced a dynamic change of DNA methylome in mouse white adipose tissue (WAT) analyzed by reduced representative bisulfite sequencing. Interestingly, DNA methylation at the promoter of estrogen receptor (Esr1) was significantly increased by HFD, concomitant with a down-regulation of Esr1 expression. HFD feeding in mice increased the expression of DNA methyltransferase 1 (Dnmt1) and Dnmt3a, and binding of DNMT1 and DNMT3a to Esr1 promoter in WAT. Mice with adipocyte-specific Dnmt1 deficiency displayed increased Esr1 expression, decreased adipose inflammation and improved insulin sensitivity upon HFD challenge; while mice with adipocyte-specific Dnmt3a deficiency showed a mild metabolic phenotype. Using a modified CRISPR/RNA-guided system to specifically target DNA methylation at the Esr1 promoter in WAT, we found that reducing DNA methylation at Esr1 promoter increased Esr1 expression, decreased adipose inflammation and improved insulin sensitivity in HFD-challenged mice. Our study demonstrates that DNA methylation at Esr1 promoter plays an important role in regulating adipose inflammation, which may contribute to obesity-induced insulin resistance.

physiology↗

bioRxiv2025

Soluble E-cadherin Drives Brain Metastasis in Inflammatory Breast Cancer

The brain is a common site of relapse in inflammatory breast cancer (IBC), an E-cadherin positive, aggressive form of breast cancer. We found that elevated serum levels of soluble E-cadherin (sEcad), an 80-kDa fragment of E-cadherin, in patients with metastatic IBC correlated with poorer outcomes and increased rates of brain metastases. In our effort to understand the underlying mechanism, we discovered that sEcad binds to XIAP, an inhibitor of cell death, activating the pro-survival NF-k{beta} signaling in tumor cells. We also discovered that sEcad affects the tumor cell microenvironment by enhancing cancer cell adhesion to endothelial cells and inducing reactive astrocytosis in the brain. In addition, we found that sEcad-mediated reactive astrocytosis relies on the CXCL1/CXCL8-CXCR2 axis and treatment with a brain-permeable CXCR2 antagonist reduced brain metastatic burden and prolonged survival. These findings implicate sEcad in brain metastasis and provide new insights into potential therapeutic targets for IBC. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/660428v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@10a7c47org.highwire.dtl.DTLVardef@1653278org.highwire.dtl.DTLVardef@d4787corg.highwire.dtl.DTLVardef@132489b_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIHigh serum sEcad levels correlate clinically with poor survival outcomes and development of brain metastasis C_LIO_LIsEcad drives IBC brain metastasis growth in mouse models C_LIO_LIsEcad binds XIAP to activate NFkB and promote anoikis resistance and invasion of IBC cells C_LIO_LIsEcad activates reactive astrocytes and induces CXCR2 expression on tumor cells in vitro and in vivo C_LIO_LICXCR2-IN-1, a brain-permeable CXCR2 antagonist, reduces metastasis and improves survival in IBC brain metastasis models C_LI

cancer biology↗