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Title | Total cells | ||
1 | A single-cell and spatially resolved atlas of human breast cancers Dataset 1: A single-cell and spatially-resolved atlas of human breast cancers cell type: Cancer Basal SC Cancer Cycling Cancer Her2 SC Cancer LumA SC Cancer LumB SC expressed genes: MAL | ||
2 | Follicular Lymphoma Microenvironment Characteristics Associated with Tumor Cell Mutations and MHC Class II Expression Dataset 1: Single cell RNA sequencing of follicular lymphoma cell type: Malignant expressed genes: MAL | ||
3 | Ovarian cancer mutational processes drive site-specific immune evasion Dataset 2: MSK SPECTRUM - Malignant and non-malignant epithelial cells cell type: Cancer.cell.1 Cancer.cell.2 Cancer.cell.3 Cancer.cell.4 Cancer.cell.5 Cancer.cell.6 Cycling.cancer.cell.1 Cycling.cancer.cell.2 expressed genes: MAL | ||
4 | Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response Dataset 3: chRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response cell type: Tumor expressed genes: MAL | ||
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: MAL | ||
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: MAL |