Title | Total cells | ||
1 | A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates Dataset 1: All cells cell type: epithelial cell of lung respiratory epithelial cell expressed genes: SH2D4A | ||
2 | A molecular single-cell lung atlas of lethal COVID-19 Dataset 1: A molecular single-cell lung atlas of lethal COVID-19 cell type: Cycling epithelial ECM-high epithelial expressed genes: SH2D4A | ||
3 | A proximal-to-distal survey of healthy adult human small intestine and colon epithelium by single-cell transcriptomics Dataset 1: A proximal-to-distal survey of healthy adult human small intestine and colon epithelium by single-cell transcriptomics cell type: C_earlyACC C_lateACC SI_FAE expressed genes: SH2D4A | ||
4 | Cell atlas of the human ocular anterior segment: Tissue-specific and shared cell types Dataset 2: Trabecular Meshwork and Corneal Scleral wedge cell type: Conj_Epi-Superficial Conj_Epi-Wing K_Epi-Superficial K_Epi-Wing Limbal_Epi-Superficial Limbal_Epi-Wing expressed genes: SH2D4A Dataset 3: Central Cornea cell type: K_Epi-Superficial K_Epi-Wing expressed genes: SH2D4A | ||
5 | Charting human development using a multi-endodermal organ atlas and organoid models Dataset 1: Developing Human Atlas cell type: Distal lung epithelium Gastrointestinal epithelium Intestinal epithelium expressed genes: SH2D4A | ||
6 | Local and systemic responses to SARS-CoV-2 infection in children and adults Dataset 2: Airway cell type: Transit epi 1 Transit epi 2 expressed genes: SH2D4A | ||
7 | Longitudinal profiling of respiratory and systemic immune responses reveals myeloid cell-driven lung inflammation in severe COVID-19 Dataset 2: 49 years old male - Airway Wash (2 days post-intubation) cell type: epithelial expressed genes: SH2D4A Dataset 6: 74 years old female - Airway Wash (3 days post-intubation) cell type: epithelial expressed genes: SH2D4A Dataset 13: 74 years old female - Airway Wash (1 day post-intubation) cell type: epithelial expressed genes: SH2D4A Dataset 20: 74 years old female - Airway Wash (6 days post-intubation) cell type: epithelial expressed genes: SH2D4A Dataset 22: 49 years old male - Airway Wash (1 day post-intubation) cell type: epithelial expressed genes: SH2D4A Dataset 23: 49 years old male - Airway Wash (3 days post-intubation) cell type: epithelial expressed genes: SH2D4A | ||
8 | 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: epithelial cell expressed genes: SH2D4A | ||
9 | Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro Dataset 1: Non-pregnant Uterus (Endometrium - All) cell type: SOX9 expressed genes: SH2D4A | ||
10 | Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors Dataset 1: mature cell type: Pelvic epithelium expressed genes: SH2D4A | ||
11 | Spatiotemporal immune zonation of the human kidney Dataset 1: Mature kidney dataset: full cell type: Pelvic epithelium expressed genes: SH2D4A | ||
12 | The landscape of immune dysregulation in Crohn’s disease revealed through single-cell transcriptomic profiling in the ileum and colon Dataset 2: TI epithelial cell type: Epithelial cells METTL12 MAFB Epithelial Cycling cells Epithelial HBB HBA expressed genes: SH2D4A Dataset 4: colon epithelial cell type: Epithelial Cycling cells expressed genes: SH2D4A |