Reinvestigation of Classic T Cell Subsets and Identification of Novel Cell Subpopulations by Single-Cell RNA Sequencing

通过单细胞 RNA 测序重新研究经典 T 细胞亚群并鉴定新细胞亚群

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作者:Xuefei Wang, Xiangru Shen, Shan Chen, Hongyi Liu, Ni Hong, Hanbing Zhong, Xi Chen, Wenfei Jin

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 remains unclear. In this article, we integrated six bead-enriched T cell subsets with 62,235 single-cell transcriptomes from human PBMCs and clustered them into nine scCPops. Bead-enriched CD4+/CD45RA+/CD25- naive T and CD8+/CD45RA+ naive T cells 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 NKT cells. The multiple T cell subsets forming one scCPop exhibit similar expression patterns, but not vice versa, indicating scCPop is a more homogeneous cell population with similar cell states. Interestingly, we discovered and named IFN signaling-associated gene (ISAG) high T (ISAGhi T) cells, a T cell subpopulation that highly expressed ISAGs. We further enriched ISAGhi T cells from human PBMCs by FACS of BST2 for scRNA-seq analyses. The ISAGhi T cell cluster disappeared on t-distributed stochastic neighbor embedding plot after removing ISAGs, whereas the ISAGhi T cell cluster showed up by analysis of ISAGs alone, indicating ISAGs are the major contributor of the ISAGhi T cell cluster. BST2+ and BST2- T cells showing different efficiencies of T cell activation indicate that a high level of ISAGs may contribute to quick immune responses.

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