Title | Total cells | ||
1 | A molecular cell atlas of the human lung from single cell RNA sequencing Dataset 2: Krasnow Lab Human Lung Cell Atlas, Smart-seq2 cell type: Nonclassical Monocyte expressed genes: USP32 | ||
2 | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche Dataset 1: All cells and nuclei cell type: Monocyte_CD16 expressed genes: USP32 | ||
3 | An atlas of healthy and injured cell states and niches in the human kidney Dataset 1: Integrated Single-nucleus and Single-cell RNA-seq of the Adult Human Kidney cell type: Non-classical Monocyte expressed genes: USP32 | ||
4 | HCA kidney seed network: University of Michigan Dataset 1: Single cell RNA-seq data from normal adult kidney tissue cell type: ncMON expressed genes: USP32 | ||
5 | 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: nonclassical Monocyte expressed genes: USP32 | ||
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: CD16_Monocyte expressed genes: USP32 | ||
7 | Spatially resolved multiomics of human cardiac niches Dataset 1: Combined single cell and single nuclei RNA-Seq data - Heart Global cell type: CD16+Mo expressed genes: USP32 | ||
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: ncM ncM_1006 expressed genes: USP32 |