期刊
ADVANCED SCIENCE
卷 8, 期 19, 页码 -出版社
WILEY
DOI: 10.1002/advs.202101447
关键词
B cell-acute lymphoblastic leukemia; heterogeneity; single-cell RNA sequencing; T cells
资金
- National Key Research and Development Program of China [2020YFA0112402, 2016YFA0100601, 2017YFA0103401]
- National Natural Science Foundation of China [81770152, 82070152, 81890991, 31871173, 81900115, 81900110]
- China Postdoctoral Science Foundation [2019M663399]
- Program for Guangdong Introducing Innovative and Entrepreneurial Teams [2017ZT07S347]
- Key Research and Development Program of Guangdong Province [2019B020234002]
- Guangzhou Science and Technology Project [201807010004, 201803040017]
This study identified two exhausted T cell populations characterized by up-regulation of TIGIT, PDCD1, HLADRA, LAG3, and CTLA4 in B-ALL patients. These exhausted T cells were found to exhibit remarkable heterogeneity, with ten sub-clusters identified based on different cell cycle phases, naive states, and GNLY expression. Coupled with single-cell T cell receptor repertoire profiling, the study suggests diverse origins of the exhausted T cells in B-ALL.
Characterization of functional T cell clusters is key to developing strategies for immunotherapy and predicting clinical responses in leukemia. Here, single-cell RNA sequencing is performed with T cells sorted from the peripheral blood of healthy individuals and patients with B cell-acute lymphoblastic leukemia (B-ALL). Unbiased bioinformatics analysis enabled the authors to identify 13 T cell clusters in the patients based on their molecular properties. All 11 major T cell subsets in healthy individuals are found in the patients with B-ALL, with the counterparts in the patients universally showing more activated characteristics. Two exhausted T cell populations, characterized by up-regulation of TIGIT, PDCD1, HLADRA, LAG3, and CTLA4 are specifically discovered in B-ALL patients. Of note, these exhausted T cells possess remarkable heterogeneity, and ten sub-clusters are further identified, which are characterized by different cell cycle phases, naive states, and GNLY (coding granulysin) expression. Coupled with single-cell T cell receptor repertoire profiling, diverse originations of the exhausted T cells in B-ALL are suggested, and clonally expanded exhausted T cells are likely to originate from CD8(+) effector memory/terminal effector cells. Together, these data provide for the first-time valuable insights for understanding exhausted T cell populations in leukemia.
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