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Title | Total cells | ||
1 | A molecular single-cell lung atlas of lethal COVID-19 Dataset 1: A molecular single-cell lung atlas of lethal COVID-19 cell type: Endothelial cells (general) Endothelial cells (other) Inflamed endothelial cells expressed genes: IL15RA | ||
2 | Abdominal White Adipose Tissue Dataset 1: 22 integrated samples cell type: Endothelial Cells expressed genes: IL15RA | ||
3 | Cell atlas of the human ocular anterior segment: Tissue-specific and shared cell types Dataset 2: Trabecular Meshwork and Corneal Scleral wedge cell type: K_Endo Schlemm_Endo expressed genes: IL15RA | ||
4 | Comparative transcriptomics reveals human-specific cortical features Dataset 1: Human: Great apes study cell type: Endo expressed genes: IL15RA | ||
5 | Differential pre-malignant programs and microenvironment chart distinct paths to malignancy in human colorectal polyps Dataset 3: VAL and DIS datasets: Non-Epithelial cell type: END expressed genes: IL15RA | ||
6 | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma Dataset 1: Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing cell type: endothelial cell expressed genes: IL15RA | ||
7 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer Dataset 1: Single-cell transcriptomic datasets of Renal cell carcinoma patients cell type: endothelial cell expressed genes: IL15RA | ||
8 | Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro Dataset 1: Non-pregnant Uterus (Endometrium - All) cell type: Endothelial ACKR1 Endothelial SEMA3G expressed genes: IL15RA | ||
9 | Single nuclei transcriptomics in human and non-human primate striatum in opioid use disorder Dataset 1: Transcriptional responses of the human dorsal striatum in opioid use disorder implicates cell type-specifc programs cell type: Endothelial expressed genes: IL15RA | ||
10 | Single-Cell, Single-Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity Dataset 1: Healthy human liver: integrated cell type: PortalEndo expressed genes: IL15RA | ||
11 | Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches Dataset 1: All cells from human liver dataset cell type: Endothelial cells expressed genes: IL15RA | ||
12 | Spatially resolved multiomics of human cardiac niches Dataset 1: Combined single cell and single nuclei RNA-Seq data - Heart Global cell type: EC10_CMC-like EC4_immune EC8_ln EC9_FB-like expressed genes: IL15RA | ||
13 | Spatiotemporal immune zonation of the human kidney Dataset 1: Mature kidney dataset: full cell type: Ascending vasa recta endothelium Descending vasa recta endothelium expressed genes: IL15RA |