Title | Total cells | ||
1 | Differential pre-malignant programs and microenvironment chart distinct paths to malignancy in human colorectal polyps Dataset 1: Discovery (DIS) set of human colorectal tumor: Epithelial cell type: ASC SSC expressed genes: AFF1 Dataset 2: Validation (Val) set of human colorectal tumor: Epithelial cell type: ASC SSC expressed genes: AFF1 | ||
2 | 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: neoplastic cell expressed genes: AFF1 | ||
3 | Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human Glioblastoma Dataset 1: Infiltrating Neoplastic Cells Human Glioblastoma cell type: neoplastic cell expressed genes: AFF1 | ||
4 | Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response Dataset 1: ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response cell type: Tumor expressed genes: AFF1 | ||
5 | Single-cell multi-omics analysis of the immune response in COVID-19 Dataset 1: Single-cell multi-omics analysis of the immune response in COVID-19 cell type: B_malignant expressed genes: AFF1 | ||
6 | 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- ccRCC CA9+ expressed genes: AFF1 |