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ID 1052
Class Mammalia
Species Homo sapiens
Tissue Blood
Sample Blood
Disease type Covid-19
Cell type Plasma cells
Cell type (subtype) Plasma cells
Cell marker MZB1
Frequency
PubMed ID 32788748
Journal Nat Immunol
SCI IF 20.476
Evidence Using graph-based clustering of uniform manifold approximation and projection (UMAP), we captured the transcriptomes of 14 major cell types or subtypes according to the expression of canonical gene markers (Fig. 1c_e and Supplementary Fig. 2a, b). These cells included naive-state T (naive T) cells (CD3+CCR7+), activated-state T (activated T) cells (CD3+PRF1+), mucosal-associated invariant T (MAIT) cells (SLC4A10+TRAV1-2+), gammadelta T cells (TRGV9+TRDV2+), proliferative T (pro T) cells (CD3+MKI67+), natural killer (NK) cells (KLRF1+), B cells (MS4A1+), plasma B cells (MZB1+), CD14+ monocytes (CD14+ mono; LYZ+CD14+), CD16+ monocytes (CD16+ mono; LYZ+FCGR3A+), monocyte-derived dendritic cells (mono DCs; CD1C+), plasmacytoid dendritic cells (pDCs; LILRA4+), platelets (PPBP+) and hemopoietic stem cells (HSCs; CYTL1+GATA2+).
Title Single-cell landscape of immunological responses in patients with COVID-19
Authors Ji-Yuan Zhang et al.
Date 2020.9
Data available HRA000150