GEO 数据集

主题由标题与摘要自动归类；样本量为数据集标注之和，SuperSeries 可能与其 SubSeries 重复计算。

• Paired Transcriptomic Profiling Identifies Shared Liver Metas-tasis-Associated Molecular Features in Colorectal Cancer
  GSE347316Homo sapiens12 个样本2026-10-28

  Colorectal cancer liver metastasis (CCLM) is closely associated with poor patient prognosis, yet patient-specific molecular heterogeneity complicates the identification of recurrent molecular changes during metastasis. To address this, we performed RNA sequencing on paired primary tumors and liver metastases synchronously resected from six patients and analyzed gene expression changes using a paired design that accounted for interpatient variability. This analysis identified differentially expressed genes (DEGs) and metastasis-associated pathways through functional enrichment analysis and Gene Set Enrichment Analysis (GSEA). The reproducibility of these changes was further assessed across multiple independent publicly available transcriptomic datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Selected candidate genes were additionally evaluated in a metastasis-selected colorectal cancer cell model, in which several genes showed expression changes consistent with the transcriptomic findings. Together, these results indicate that recurrent molecular changes accompany CCLM despite substantial interpatient heterogeneity and provide a strategy for identifying metastasis-associated molecular features and potential therapeutic targets

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• A single-cell RNA sequencing atlas of postnatal ovarian development in dairy goats
  GSE345824Capra hircus10 个样本2026-10-27

  Postnatal ovarian development is a critical process that establishes ovarian reserve and determines female reproductive capacity. However, the cellular and molecular dynamics underlying early folliculogenesis in livestock species remain poorly characterized. Here, we generated a single-cell RNA sequencing dataset of dairy goat ovaries collected at postnatal days 4, 20, and 60, representing distinct stages of follicular development. This dataset comprises 90,770 high-quality single cells and 20,412 gene features, including six major ovarian cell populations with distinct transcriptional signatures. The dataset provides comprehensive transcriptomic profiles of oocytes, granulosa cells, theca cells, stromal cells, endothelial cells, and immune cells during early ovarian development. Cell-level annotations, sample information, and gene expression count matrices are provided to facilitate investigation of ovarian cellular heterogeneity, folliculogenesis, and cell-cell communication.

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• Transmural Single-Nucleus Transcriptomics Nominates Candidate Disease Programs in Human Necrotizing Enterocolitis
  GSE351352Homo sapiens10 个样本2026-10-26

  Necrotizing enterocolitis (NEC) is a life-threatening disease of premature infants marked by inflammation, ischemia, mucosal injury, and, in advanced cases, necrosis extending into deeper layers of the intestinal wall. Because NEC affects specialized, interacting cells in a developing intestine, we used single-nucleus transcriptomics to build a transmural, cell-type-resolved map and nominate hypothesis-generating disease programs distinct from maturation. Full-thickness intestinal specimens from fetal/prenatal controls, acute NEC cases, and infant controls were analyzed by single-nucleus RNA sequencing (snRNA-seq). Fetal and infant samples served as developmental references. Analyses included cell annotation, NEC-versus-infant differential expression, gene ontology (GO), cross-lineage recurrence, cell-death signatures, and developmental maturity. We profiled 53,735 nuclei by snRNA-seq and resolved 34 epithelial, stromal, vascular, immune, neuronal, glial, and smooth-muscle populations. We used a morphology-based nuclei scoring system for sample selection that predicted high-quality transcript recovery. NEC nuclei were represented across this cellular landscape, with recurrent gene-expression changes suggesting shared inflammatory recruitment, antimicrobial/redox defense, stress adaptation, complement/vascular activation, reduced homeostatic signaling, and cell-death-associated regulation. Developmental maturity analysis identified fetal-like expression levels in subsets of NEC-regulated genes. Proliferative crypt populations retained DNA-repair/cell-cycle programs with inflammatory, hypoxic, and ER-stress features, while absorptive enterocytes showed reduced digestive, transport, detoxification, and terminal villus-function programs. Secretory-lineage changes implicated goblet mucus-barrier responses with reduced glycosylation, trafficking, and hydration; enteroendocrine changes in epithelial defense, metabolic stress, and neural signaling; and Paneth cell retention of antimicrobial effector transcripts despite altered ER quality control, autophagy, and granule delivery in NEC. Non-epithelial programs implicated stromal Wnt/BMP niche loss, impaired lymphatic drainage/scavenging, macrophage cytokine activation with reduced clearance machinery, neuroglial circuit defects, and altered smooth-muscle contraction-relaxation balance. This single nuclear intestinal cell atlas nominates multicellular programs that may govern NEC initiation, progression toward tissue destruction, and resolution toward functional recovery.

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