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: B9D1 | ||
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: B9D1 | ||
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: B9D1 | ||
4 | An integrated cell atlas of the lung in health and disease Dataset 1: An integrated cell atlas of the human lung in health and disease (core) cell type: AT0 expressed genes: B9D1 | ||
5 | 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: B9D1 | ||
6 | Cells of the human intestinal tract mapped across space and time Dataset 1: Total - Cells of the human intestinal tract mapped across space and time cell type: epithelial cell expressed genes: B9D1 | ||
7 | 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: B9D1 | ||
8 | Dysregulation of brain and choroid plexus cell types in severe COVID-19 Dataset 2: A total of 27,092 droplet-based single-nucleus transcriptomes profiled across 11 cell types in the choroid plexus cell type: Epithelial GPX3-hi Epithelial MT-hi Epithelial PRLR-hi Epithelial SLC26A3-hi Epithelial expressed genes: B9D1 | ||
9 | 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: B9D1 | ||
10 | Longitudinal profiling of respiratory and systemic immune responses reveals myeloid cell-driven lung inflammation in severe COVID-19 Dataset 6: 74 years old female - Airway Wash (3 days post-intubation) cell type: epithelial expressed genes: B9D1 Dataset 13: 74 years old female - Airway Wash (1 day post-intubation) cell type: epithelial expressed genes: B9D1 | ||
11 | 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: B9D1 | ||
12 | 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: B9D1 | ||
13 | Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy Dataset 1: Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy cell type: CD45- PAX8+ renal epithelium expressed genes: B9D1 | ||
14 | Spatial and cell type transcriptional landscape of human cerebellar development Dataset 1: Cerebellum cell type: 20-Choroid expressed genes: B9D1 |