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ID 4750
Class Mammalia
Species Mouse
Tissue Blood
Sample Blood
Disease type Normal
Cell type Inflammatory cells
Cell type (subtype) Inflamed cells
Cell marker Isg15, Ifit1, Ifit3
Frequency
PubMed ID 32406817
Journal eLife
SCI IF 7.08
Evidence Therefore, we scaled the sample variance to ensure the cells from different WT Mouse cluster together. At low clustering resolution, we found five distinct clusters of CD3ε_CD122+_ells (Figure 1A). Through exploring the differential expressed genes (DEGs) of each cluster, we found that Cluster 1 were conventional NK cells with high expression of_cr1_nd three subunits (Klrb1a, _lrb1b, and_lrb1c) of NK1.1 and comprised majority of the CD3ε_CD122+_ells (Figure 1A and B). The expression of_ki67_ndicated that cells in Cluster 2 were cycling (Figure 1B). Cluster 3 contained ILC1 cells indicated by the high expression of_mem176a/b_nd_xcr6(Figure 1B;_obinette et al., 2015). Notably, _cr1_nd_lrb1a/b/c_ere abundantly expressed in the ILC1 cluster that was higher than the NK cluster (Figure 1B). Cluster 4 was marked with high expression of_d3d/e/g_nd low_cr1_nd_lrb1a/b/c_xpression (Figure 1B). This population has been reported before in the scRNA-seq dataset of group 1 ILC in the lung and is potentially related to NK-T lineage (Ferrari de Andrade et al., 2018). We referred to it as_d3high_luster. ILC1, _d3high_ells and NKP potentially make up the Lin_CD122+NK1.1__ells. Cells in Cluster 5 were activated by inflammatory stimuli as made evident by the high expression of interferon-induced genes (Figure 1B).
Title Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature
Authors Chao Yang et al.
Date 2020.5
Data available GSE150166