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Serum response factor is essential for endometrial function and prevention of inflammatory fibrosis.
Pregnancy requires a supportive uterine environment facilitated by steroid hormone-regulated differentiation of endometrial stromal fibroblasts into decidual cells and tight control of inflammation. Serum response factor (SRF) is a widely expressed transcription factor essential for mesenchymal cell growth and differentiation with noted roles in hormonal regulation of muscle tissues but little characterization in reproductive organs. Here, we reveal that endometrial SRF is dysregulated in human endometriosis and is critical for female reproductive success in mice through regulation of endometrial stromal and epithelial cells. Immunohistochemical analysis identified decreased endometrial SRF expression in infertile endometriosis patient tissues. RNAi-based SRF knockdown in human endometrial stromal cells resulted in disrupted cytoskeletal structure, viability, and decidual response. Conditional Srf knockout mice (Srfd/d) generated using the PgrCre were infertile with implantation failure, lack of decidual response, and development of severe endometrial fibrosis. Single-cell RNA sequencing identified dramatic changes in Srfd/d endometrial cell populations including large-scale myeloid immune cell infiltration. Srfd/d stromal fibroblasts displayed aberrant cytoskeletal and extracellular matrix gene expression and downregulation of genes important for decidual growth response. Srf-deficient epithelial cells displayed the most prominent dysregulation, strongly overexpressing estrogenic innate inflammatory genes including C3 and Lcn2 and fibrogenic genes Mmp7 and Fbln1, all of which paralleled patterns in human endometriosis patient data that we identified through comparative analysis using a published single-cell atlas. These results demonstrate the profound impact of SRF on endometrial homeostasis with relevance to human endometriosis-related infertility.
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Identification of novel cuproptosis-related lncRNA signatures to predict the prognosis and immune microenvironment of breast cancer patients.
BACKGROUND: Cuproptosis is a new modality of cell death regulation that is currently considered as a new cancer treatment strategy. Nevertheless, the prognostic predictive value of cuproptosis-related lncRNAs in breast cancer (BC) remains unknown. Using cuproptosis-related lncRNAs, this study aims to predict the immune microenvironment and prognosis of BC patients. and develop new therapeutic strategies that target the disease. METHODS: The Cancer Genome Atlas (TCGA) database provided the RNA-seq data along with the corresponding clinical and prognostic information. Univariate and multivariate Cox regression analyses were performed to acquire lncRNAs associated with cuproptosis to establish predictive features. The Kaplan-Meier method was used to calculate the overall survival rate (OS) in the high-risk and low-risk groups. High risk and low risk gene sets were enriched to explore functional discrepancies among risk teams. The mutation data were analyzed using the "MAFTools" r-package. The ties of predictive characteristics and immune status had been explored by single sample gene set enrichment analysis (ssGSEA). Last, the correlation between predictive features and treatment condition in patients with BC was analyzed. Based on prognostic risk models, we assessed associations between risk subgroups and immune scores and immune checkpoints. In addition, drug responses in at-risk populations were predicted. RESULTS: We identified a set of 11 Cuproptosis-Related lncRNAs (GORAB-AS1, AC 079922.2, AL 589765.4, AC 005696.4, Cytor, ZNF 197-AS1, AC 002398.1, AL 451085.3, YTH DF 3-AS1, AC 008771.1, LINC 02446), based on which to construct the risk model. In comparison to the high-risk group, the low-risk patients lived longer (p < 0.001). Moreover, cuproptosis-related lncRNA profiles can independently predict prognosis in BC patients. The AUC values for receiver operating characteristics (ROC) of 1-, 3-, and 5-year risk were 0.849, 0.779, and 0.794, respectively. Patients in the high-risk group had lower OS than those in the low-risk group when they were divided into groups based on various clinicopathological variables. The tumor burden mutations (TMB) correlation analysis showed that high TMB had a worse prognosis than low-TMB, and gene mutations were found to be different in high and low TMB groups, such as PIK3CA (36% versus 32%), SYNE1 (4% versus 6%). Gene enrichment analysis indicated that the differential genes were significantly concentrated in immune-related pathways. The predictive traits were significantly correlated with the immune status of BC patients, according to ssGSEA results. Finally, high-risk patients showed high sensitivity in anti-CD276 immunotherapy and conventional chemotherapeutic drugs such as imatinib, lapatinib, and pazopanib. CONCLUSION: We successfully constructed of a cuproptosis-related lncRNA signature, which can independently predict the prognosis of BC patients and can be used to estimate OS and clinical treatment outcomes in BRCA patients. It will serve as a foundation for further research into the mechanism of cuproptosis-related lncRNAs in breast cancer, as well as for the development of new markers and therapeutic targets for the disease.
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EPAS1 prevents telomeric damage-induced senescence by enhancing transcription of TRF1, TRF2, and RAD50.
Telomeres are nucleoprotein structures located at the end of each chromosome, which function in terminal protection and genomic stability. Telomeric damage is closely related to replicative senescence in vitro and physical aging in vivo. As relatively long-lived mammals based on body size, bats display unique telomeric patterns, including the up-regulation of genes involved in alternative lengthening of telomeres (ALT), DNA repair, and DNA replication. At present, however, the relevant molecular mechanisms remain unclear. In this study, we performed cross-species comparison and identified EPAS1, a well-defined oxygen response gene, as a key telomeric protector in bat fibroblasts. Bat fibroblasts showed high expression of EPAS1, which enhanced the transcription of shelterin components TRF1 and TRF2, as well as DNA repair factor RAD50, conferring bat fibroblasts with resistance to senescence during long-term consecutive expansion. Based on a human single-cell transcriptome atlas, we found that EPAS1 was predominantly expressed in the human pulmonary endothelial cell subpopulation. Using in vitro-cultured human pulmonary endothelial cells, we confirmed the functional and mechanistic conservation of EPAS1 in telomeric protection between bats and humans. In addition, the EPAS1 agonist M1001 was shown to be a protective compound against bleomycin-induced pulmonary telomeric damage and senescence. In conclusion, we identified a potential mechanism for regulating telomere stability in human pulmonary diseases associated with aging, drawing insights from the longevity of bats.
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M2 macrophage-based classification identifies DOK3 as a driver of pro-tumoral polarization and migration in glioblastoma.
BACKGROUND: Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by limited therapeutic options and dismal prognosis. Among the components of the immunosuppressive tumor microenvironment (TME), M2-polarized macrophages are pivotal mediators of tumor progression, yet the molecular mechanisms underlying their polarization and pro-tumoral functions remain inadequately understood. METHODS: We integrated bulk and single-cell RNA sequencing datasets from CGGA, TCGA, and GSE131928. M2 macrophage infiltration was quantified using the xCell algorithm, and unsupervised clustering of M2-associated genes was first performed to define macrophage-centered immune subtypes, further refined by XGBoost and LASSO modeling. Based on the molecular features of the most immunosuppressive subtype, a macrophage-associated risk score based on CTSB, LITAF, and DOK3 was constructed and validated across independent cohorts for prognostic and immune relevance. Functional validation was performed by silencing DOK3 in THP-1-derived macrophages, followed by co-culture with glioma cells to assess macrophage polarization and tumor cell behavior. RESULTS: Elevated M2 macrophage infiltration correlated with reduced tumor purity, spatial heterogeneity, and worse survival. Three immune subtypes (C1-C3) were identified; notably, the C1 subtype exhibited the highest M2 infiltration, strongest immunosuppressive features, and poorest prognosis. The derived macrophage-based risk score robustly stratified patient survival and correlated with CD163 expression and immune checkpoint activation. Single-cell analysis revealed predominant DOK3 expression in macrophages and microglia. Functional assays demonstrated that DOK3 knockdown reduced CD163 expression and attenuated glioma cell invasiveness, supporting its role in promoting M2 polarization and tumor aggressiveness. CONCLUSION: This integrative analysis identifies DOK3 as a pivotal regulator of M2 macrophage polarization and a driver of glioblastoma progression. Together, immune subtyping and the simplified macrophage-based risk model represent complementary strategies, with the latter providing a practical tool for prognostic stratification. Targeting DOK3 offers a promising therapeutic strategy to reprogram the TME and improve clinical outcomes in patients with GBM.
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The transcriptomic and spatial organization of telencephalic GABAergic neuronal types.
The telencephalon of the mammalian brain comprises multiple regions and circuit pathways that play adaptive and integrative roles in a variety of brain functions. There is a wide array of GABAergic neurons in the telencephalon; they play a multitude of circuit functions, and dysfunction of these neurons has been implicated in diverse brain disorders. In this study, we conducted a systematic and in-depth analysis of the transcriptomic and spatial organization of GABAergic neuronal types in all regions of the mouse telencephalon and their developmental origins. This was accomplished by utilizing 611,423 single-cell transcriptomes from the comprehensive and high-resolution transcriptomic and spatial cell type atlas for the adult whole mouse brain we have generated, supplemented with an additional single-cell RNA-sequencing dataset containing 99,438 high-quality single-cell transcriptomes collected from the pre- and postnatal developing mouse brain. We present a hierarchically organized adult telencephalic GABAergic neuronal cell type taxonomy of 7 classes, 52 subclasses, 284 supertypes, and 1,051 clusters, as well as a corresponding developmental taxonomy of 450 clusters across different ages. Detailed charting efforts reveal extraordinary complexity where relationships among cell types reflect both spatial locations and developmental origins. Transcriptomically and developmentally related cell types can often be found in distant and diverse brain regions indicating that long-distance migration and dispersion is a common characteristic of nearly all classes of telencephalic GABAergic neurons. Additionally, we find various spatial dimensions of both discrete and continuous variations among related cell types that are correlated with gene expression gradients. Lastly, we find that cortical, striatal and some pallidal GABAergic neurons undergo extensive postnatal diversification, whereas septal and most pallidal GABAergic neuronal types emerge simultaneously during the embryonic stage with limited postnatal diversification. Overall, the telencephalic GABAergic cell type taxonomy can serve as a foundational reference for molecular, structural and functional studies of cell types and circuits by the entire community.
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IL-19 as a promising theranostic target to reprogram the glioblastoma immunosuppressive microenvironment.
BACKGROUND: Glioblastoma multiforme (GBM) is an aggressive brain tumor with chemoresistant, immunosuppressive, and invasive properties. Despite standard therapies, including surgery, radiotherapy, and temozolomide (TMZ) chemotherapy, tumors inevitably recur in the peritumoral region. Targeting GBM-mediated immunosuppressive and invasive properties is a promising strategy to improve clinical outcomes. METHODS: We utilized clinical and genomic data from the Taiwan GBM cohort and The Cancer Genome Atlas (TCGA) to analyze RNA sequencing data from patient tumor samples, determining the association of interleukin-19 (Il-19) expression with survival and immunosuppressive activity. Gene set enrichment analysis (GSEA) was performed to assess the relationship between the enrichment levels of immune subsets and Il-19 expression level, and Ingenuity Pathway Analysis (IPA) was used to predict immune responses. Cytokine array and single-cell RNA sequencing were used to examine the effects of IL-19 blockade on tumor immune microenvironment, including tumor-infiltrating leukocyte profiles, differentiation and immunosuppressive genes expression in tumor associated macrophages (TAM). CRISPR Il-19-/- cell lines and Il-19-/- mice were used to examine the role of IL-19 in tumor invasion and M2-like macrophage-mediated immunosuppression. Additionally, we developed novel cholesterol-polyethylene glycol-superparamagnetic iron oxide-IL-19 antibody nanoparticles (CHOL-PEG-SPIO-IL-19), characterized them using dynamic light scattering and transmission electron microscopy, Fourier-Transform Infrared spectroscopy, prussian blue assay, and conducted in vivo magnetic resonance imaging (MRI) in a human glioblastoma stem cell-derived GBM animal model. RESULT: Genomic screening and IPA analysis identified IL-19 as a predicted immunosuppressive cytokine in the peritumoral region, associated with poor survival in patients with GBM. Blocking IL-19 significantly inhibited tumor progression of both TMZ-sensitive (TMZ-S) and TMZ-resistant (TMZ-R) GBM-bearing mice, and modulated the immune response within the GBM microenvironment. Single-cell transcriptome analysis reveal that IL-19 antibody treatment led to a marked increase in dendritic cells and monocyte/macrophage subsets associated with interferon-gamma signaling pathways. IL-19 blockade promoted T cell activation and reprogrammed tumor-associated macrophages toward weakened pro-tumoral phenotypes with reduced Arginase 1 expression. Il19-/- M2-like bone marrow-derived macrophages with lower Arginase 1 level lost their ability to suppress CD8 T cell activation. These findings indicated that IL-19 suppression limits TAM-mediated immune suppression. Molecular studies revealed that IL-19 promotes TMZ-resistant GBM cell migration and invasion through a novel IL-19/WISP1 signaling pathway. For clinical translation, we developed a novel CHOL-PEG-SPIO-IL-19 nanoparticles to target IL-19 expression in glioblastoma tissue. MRI imaging demonstrated enhanced targeting efficiency in brain tumors, with in vivo studies showing prominent hypointense areas in T2*-weighted MRI scans of tumor-bearing mice injected with CHOL-PEG-SPIO-IL-19, highlighting nanoparticle presence in IL-19-expressing regions. Prussian blue staining further confirmed the localization of these nanoparticles in tumor tissues, verifying their potential as a diagnostic tool for detecting IL-19 expression in glioblastoma. This system offers a theranostic approach, integrating diagnostic imaging and targeted therapy for IL-19-expressing GBM. CONCLUSION: IL-19 is a promising theranostic target for reversing immunosuppression and restricting the invasive activity of chemoresistant GBM cells.
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Chinese Immune Multi-Omics Atlas.
Human peripheral blood exhibits molecular and cellular heterogeneity across populations, yet the underlying mechanisms remain unclear. We present the Chinese Immune Multi-Omics Atlas (CIMA), characterizing molecular variations linked to sex, age, and genetic variants through multi-omics analysis of more than 10 million circulating immune cells from 428 Chinese adults. CIMA established an enhancer-driven gene regulatory network comprising 237 robust regulons; identified 9600 eGenes and 52,361 caPeaks at cell type resolution; and revealed pleiotropic associations among immune-related disease risk loci, cis-expression quantitative trait loci (QTLs), and chromatin accessibility QTLs. Furthermore, the cell language model CIMA-CLM predicted chromatin accessibility and evaluated the effects of noncoding variants from chromatin sequences and gene expression. CIMA provides a comprehensive reference for immune-related disease research.
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Generation of a Biliary Tract Cancer Cell Line Atlas Identifies Molecular Subtypes and Therapeutic Targets.
UNLABELLED: Biliary tract cancers (BTC) are aggressive malignancies encompassing intrahepatic and extrahepatic cholangiocarcinoma, gallbladder carcinoma, and ampullary carcinoma. Here, we report integrative analysis of 63 BTC cell lines via multi-omics and genome-scale CRISPR screens. We identify widespread EGFR dependency in BTC, alongside dependencies selective to anatomic subtypes. Additionally, we delineate strategies to overcome therapeutic resistance, with combined EGFR inhibition potentiating targeting of KRAS-mutant and FGFR2 fusion-driven models and SHP2 inhibition effective in the latter context. Clustering RNA/protein expression and dependencies data revealed functional relationships transcending single-gene alterations, with biliary, squamous, or dual biliary/hepatocyte lineage signatures stratifying BTC models. These subtypes exhibit distinct dependency profiles-including cell fate transcription factors GRHL2, TP63, and HNF1B, respectively-and demonstrate prognostic significance in patient samples. Potential subtype-specific targetable vulnerabilities include integrinα3 and the detoxification enzyme UXS1. This cell line atlas reveals therapeutic targets in molecularly defined BTCs, unveils disease subtypes, and provides a resource for therapeutic development. SIGNIFICANCE: This integrative analysis of BTC cell lines defines the landscape of vulnerabilities across BTCs, stratifying distinct subtypes, and provides a key resource for studying disease heterogeneity. The findings highlight strategies for targeting BTCs with specific genomic alterations, as well as broader approaches based on shared molecular programs and essential pathways.
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Stellate cell expression of SPARC-related modular calcium-binding protein 2 is associated with human non-alcoholic fatty liver disease severity.
BACKGROUND & AIMS: Histological assessment of liver biopsies is the gold standard for diagnosis of non-alcoholic steatohepatitis (NASH), the progressive form of non-alcoholic fatty liver disease (NAFLD), despite its well-established limitations. Therefore, non-invasive biomarkers that can offer an integrated view of the liver are needed to improve diagnosis and reduce sampling bias. Hepatic stellate cells (HSCs) are central in the development of hepatic fibrosis, a hallmark of NASH. Secreted HSC-specific proteins may, therefore, reflect disease state in the NASH liver and serve as non-invasive diagnostic biomarkers. METHODS: We performed RNA-sequencing on liver biopsies from a histologically characterised cohort of obese patients (n = 30, BMI >35 kg/m2) to identify and evaluate HSC-specific genes encoding secreted proteins. Bioinformatics was used to identify potential biomarkers and their expression at single-cell resolution. We validated our findings using single-molecule fluorescence in situ hybridisation (smFISH) and ELISA to detect mRNA in liver tissue and protein levels in plasma, respectively. RESULTS: Hepatic expression of SPARC-related modular calcium-binding protein 2 (SMOC2) was increased in NASH compared to no-NAFLD (p.adj <0.001). Single-cell RNA-sequencing data indicated that SMOC2 was primarily expressed by HSCs, which was validated using smFISH. Finally, plasma SMOC2 was elevated in NASH compared to no-NAFLD (p <0.001), with a predictive accuracy of AUROC 0.88. CONCLUSIONS: Increased SMOC2 in plasma appears to reflect HSC activation, a key cellular event associated with NASH progression, and may serve as a non-invasive biomarker of NASH. IMPACT AND IMPLICATIONS: Non-alcoholic fatty liver disease (NAFLD) and its progressive form, non-alcoholic steatohepatitis (NASH), are the most common forms of chronic liver diseases. Currently, liver biopsies are the gold standard for diagnosing NAFLD. Blood-based biomarkers to complement liver biopsies for diagnosis of NAFLD are required. We found that activated hepatic stellate cells, a cell type central to NAFLD pathogenesis, upregulate expression of the secreted protein SPARC-related modular calcium-binding protein 2 (SMOC2). SMOC2 was elevated in blood samples from patients with NASH and may hold promise as a blood-based biomarker for the diagnosis of NAFLD.
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Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.
Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples. Association analysis of somatic variants with alternative splicing events confirmed known trans associations with variants in SF3B1 and U2AF1 and identified additional trans-acting variants (e.g., TADA1, PPP2R1A). Many tumors have thousands of alternative splicing events not detectable in normal samples; on average, we identified ≈930 exon-exon junctions ("neojunctions") in tumors not typically found in GTEx normals. From Clinical Proteomic Tumor Analysis Consortium data available for breast and ovarian tumor samples, we confirmed ≈1.7 neojunction- and ≈0.6 single nucleotide variant-derived peptides per tumor sample that are also predicted major histocompatibility complex-I binders ("putative neoantigens").