Search | Result
| ID | 3440 |
|---|---|
| Class | Mammalia |
| Species | Homo sapiens |
| Tissue | Lung |
| Sample | Tissue |
| Disease type | COVID-19 |
| Cell type | T cells |
| Cell type (subtype) | T cells |
| Cell marker | CD3D |
| Frequency | |
| PubMed ID | 32398875 |
| Journal | Nat Med |
| SCI IF | 36.13 |
| Evidence | Clustering analysis showed 31 distinct clusters composed of macrophages (CD68), neutrophils (FCGR3B), myeloid dendritic cells (mDCs) (CD1C, CLEC9A), plasmacytoid dendritic cells (pDCs) (LILRA4), natural killer (NK) cells (KLRD1), T_ells (CD3D), B cells (MS4A1), plasma cells (IGHG4) and epithelial cells (TPPP3, KRT18) (Fig. 1a), identified by signature genes (Extended Data Fig. 1a, b)Extended Data Fig3B |
| Title | Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19 |
| Authors | Mingfeng Liao et al. |
| Date | 2020.6 |
| Data available | GSE145926 |
