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: RCC1 | ||
2 | A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates Dataset 1: All cells cell type: CD4-positive, alpha-beta T cell expressed genes: RCC1 | ||
3 | A molecular cell atlas of the human lung from single cell RNA sequencing Dataset 1: Krasnow Lab Human Lung Cell Atlas, 10X cell type: CD4+ Memory/Effector T expressed genes: RCC1 Dataset 2: Krasnow Lab Human Lung Cell Atlas, Smart-seq2 cell type: CD4+ Memory/Effector T expressed genes: RCC1 | ||
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: CD4 T cells expressed genes: RCC1 | ||
5 | Blood and immune development in human fetal bone marrow and Down syndrome Dataset 1: Fetal Bone Marrow (10x) cell type: CD4 T cell expressed genes: RCC1 Dataset 4: Human Fetal Bone Marrow (CITE-seq) cell type: CD4 T cell expressed genes: RCC1 | ||
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: activated CD4-positive, alpha-beta T cell CD4-positive, alpha-beta T cell expressed genes: RCC1 | ||
7 | 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: RCC1 | ||
8 | 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: RCC1 | ||
9 | 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: RCC1 | ||
10 | 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: RCC1 | ||
11 | Single-cell Atlas of common variable immunodeficiency shows germinal center-associated epigenetic dysregulation in B-cell responses Dataset 1: Activated PBMCs - Expanded cohort CITE-seq cell type: T4_activated expressed genes: RCC1 Dataset 2: Activated PBMCs - Twins scRNA-seq cell type: T4_activated expressed genes: RCC1 | ||
12 | Single-cell analysis of human B cell maturation predicts how antibody class switching shapes selection dynamics Dataset 1: Human tonsil complete integrated cell set scRNA cell type: CD4+ CD4+ NCM expressed genes: RCC1 | ||
13 | Single-cell multiomics reveals increased plasticity, resistant populations, and stem-cell–like blasts in KMT2A-rearranged leukemia Dataset 1: Global dataset of infant KMT2Ar B-ALL cell type: CD4_Early_Activation expressed genes: RCC1 | ||
14 | 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: RCC1 |