Title | Total cells | ||
1 | A single-cell atlas of human and mouse white adipose tissue Dataset 1: A Single-Cell Atlas of Human White Adipose Tissue cell type: t_cell expressed genes: ZFYVE28 | ||
2 | A spatially resolved single cell genomic atlas of the adult human breast Dataset 2: snRNA-seq data - all cells cell type: T-cells expressed genes: ZFYVE28 | ||
3 | Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution Dataset 2: Periphery - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution cell type: TCell expressed genes: ZFYVE28 | ||
4 | Cross-tissue immune cell analysis reveals tissue-specific features in humans Dataset 1: Global cell type: T_CD4/CD8 expressed genes: ZFYVE28 | ||
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: T expressed genes: ZFYVE28 | ||
6 | Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19 Dataset 1: Nasopharynx cell type: Early Response T Cells expressed genes: ZFYVE28 | ||
7 | Intratumoral heterogeneity in recurrent pediatric pilocytic astrocytomas Dataset 1: Intratumoral heterogeneity in recurrent pediatric pilocytic astrocytomas cell type: T cells expressed genes: ZFYVE28 | ||
8 | Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes Dataset 1: Single-cell multiomic profiling of human lungs across age groups cell type: T cells expressed genes: ZFYVE28 | ||
9 | Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function Dataset 1: Single-nucleus cross-tissue molecular reference maps to decipher disease gene function cell type: Immune (T cell) expressed genes: ZFYVE28 |