Title | Total cells | ||
1 | 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+ Naive T expressed genes: RPS6KA5 Dataset 2: Krasnow Lab Human Lung Cell Atlas, Smart-seq2 cell type: CD4+ Naive T expressed genes: RPS6KA5 | ||
2 | A spatially resolved single cell genomic atlas of the adult human breast Dataset 1: scRNA-seq data - all cells cell type: CD4-naive expressed genes: RPS6KA5 | ||
3 | Local and systemic responses to SARS-CoV-2 infection in children and adults Dataset 1: PBMC cell type: T CD4 naive T CD4 naive IFN stim expressed genes: RPS6KA5 | ||
4 | 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: naive thymus-derived CD4-positive, alpha-beta T cell expressed genes: RPS6KA5 | ||
5 | Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies Dataset 6: DCM/ACM heart cell atlas: Lymphoids cell type: CD4T_naive expressed genes: RPS6KA5 | ||
6 | 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_Naive expressed genes: RPS6KA5 | ||
7 | Spatially resolved multiomics of human cardiac niches Dataset 1: Combined single cell and single nuclei RNA-Seq data - Heart Global cell type: CD4+T_naive expressed genes: RPS6KA5 | ||
8 | Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19 Dataset 1: Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19 cell type: T4_Naive T4_Naive_Pool3 expressed genes: RPS6KA5 |