The Journal of ImmunologyGenomicsPeer-reviewed journal article
Re-investigation of classic T cell subsets and identification of novel cell subpopulations by single-cell RNA sequencing
Xuefei WangiD, Xiangru Shen, Shan CheniD, Hongyi LiuiD, Ni HongiD, Hanbing ZhongiD, Xi Xian CheniD, Wenfei JiniD
Abstract
Classic T cell subsets are defined by a small set of cell surface markers, while single cell RNA sequencing (scRNA-seq) clusters cells using genome-wide gene expression profiles. The relationship between scRNA-seq Clustered-Populations (scCPops) and cell surface marker-defined classic T cell subsets remain unclear. Here, we interrogated 6 bead-enriched T cell subsets with 62,235 single cell transcriptomes and re-grouped them into 9 scCPops. Bead-enriched CD4 Naive and CD8 Naive were mainly clustered into their scCPop counterparts, while cells from the other T cell subsets were assigned to multiple scCPops including mucosal-associated invariant T cells and natural killer T cells. The multiple T cell subsets that form a single scCPop exhibited similar expression pattern, but not vice versa, indicating scCPops are much homogeneous cell populations with similar cell states. Interestingly, we discovered and named IFNhi T, a new T cell subpopulation that highly expressed Interferon Signaling Associated Genes (ISAGs). We further enriched IFNhi T by FACS sorting of BST2 for scRNA-seq analyses. IFNhi T cluster disappeared on tSNE plot after removing ISAGs, while IFNhi T cluster showed up by tSNE analyses of ISAGs alone, indicating ISAGs are the major contributor of IFNhi T cluster. BST2+ T cells and BST2- T cells showing different efficiencies of T cell activation indicates high level of ISAGs may contribute to quick immune responses.
- organism: human
- assay: scRNA-seq
- research focus: clustering
- research focus: cell type annotation
- approach: statistical model
- Citations
- 67
- FWCI
- 3.29
- Field percentile
- top 5%
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