Title | Total cells | ||
1 | A blood atlas of COVID-19 defines hallmarks of disease severity and specificity Dataset 1: COMBAT project: single cell gene expression data from COVID-19, sepsis and flu patient PBMCs cell type: ncMono expressed genes: SNAPC5 | ||
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: non-classical monocyte expressed genes: SNAPC5 | ||
3 | 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: SNAPC5 | ||
4 | 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: SNAPC5 | ||
5 | Local and systemic responses to SARS-CoV-2 infection in children and adults Dataset 1: PBMC cell type: Monocyte CD16 Monocyte CD16 IFN stim Monocyte CD16+C1 expressed genes: SNAPC5 | ||
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: SNAPC5 | ||
7 | 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: SNAPC5 |