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Title | Total cells | ||
1 | A cell atlas of human thymic development defines T cell repertoire formation Dataset 1: Figure 1 - A cell atlas of human thymic development defines T cell repertoire formation cell type: CD4-positive, alpha-beta T cell expressed genes: CD70 | ||
2 | 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: T_cells_c0_CD4+_CCR7 T_cells_c1_CD4+_IL7R expressed genes: CD70 | ||
3 | A single-cell atlas of CD19 chimeric antigen receptor T cells Dataset 2: Single cell atlas of CD19 CAR T-cells (CD4+) cell type: C05:Cycling C06:Cycling C07:Cycling C08:Cycling expressed genes: CD70 | ||
4 | Characteristics of anti-CD19 CAR T cell infusion products associated with efficacy and toxicity in patients with large B cell lymphomas Dataset 1: Single cell RNA sequencing of CD19 CAR T-cell infusion products cell type: Activated CD4 CD4 Cycling CD4 expressed genes: CD70 | ||
5 | 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: CD4Proliferating expressed genes: CD70 | ||
6 | Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19 Dataset 1: Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19 cell type: CD4, non-EM-like expressed genes: CD70 | ||
7 | 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: CD4-positive, alpha-beta T cell expressed genes: CD70 | ||
8 | 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: CD4.IL22 CD4.Prolif expressed genes: CD70 | ||
9 | 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: CD4+ Activated IEG CD4+ Proliferating expressed genes: CD70 | ||
10 | scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation Dataset 3: Lung Parenchyma cell type: T_CD4 expressed genes: CD70 |