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Single-cell transcriptome analysis of CAR T-cell products reveals subpopulations, stimulation, and exhaustion signatures.

Authors :
Wang, Xiaonan
Peticone, Carlotta
Kotsopoulou, Ekaterini
Göttgens, Berthold
Calero-Nieto, Fernando J
Source :
OncoImmunology. 2021, Vol. 10 Issue 1, p1-3. 3p.
Publication Year :
2021

Abstract

Chimeric antigen receptor (CAR) T-cell adoptive therapy is set to transform the treatment of a rapidly expanding range of malignancies. Although the activation process of normal T cells is well characterized, comparatively little is known about the activation of cells via the CAR. Here we have used flow cytometry together with single-cell transcriptome profiling to characterize the starting material (peripheral blood mononuclear cells) and CAR therapeutic products of 3 healthy donors in the presence and absence of antigen-specific stimulation. Analysis of 53,191 single-cell transcriptomes showed APRIL-based CAR products to contain several subpopulations of cells, with cellular composition reproducible from donor to donor, and all major cellular subsets compatible with CAR expression. Only 50% of CAR-expressing cells displayed transcriptional changes upon CAR-specific antigen exposure. The resulting molecular signature for CAR T-cell activation provides a rich resource for future dissection of underlying mechanisms. Targeted data interrogation also revealed that a small proportion of antigen-responding CAR-expressing cells displayed an exhaustion signature, with both known markers and genes not previously associated with T-cell exhaustion. Comprehensive single-cell transcriptomic analysis thus represents a powerful way to guide the assessment and optimization of clinical-grade CAR-T-cells, and inform future research into the underlying molecular processes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21624011
Volume :
10
Issue :
1
Database :
Academic Search Index
Journal :
OncoImmunology
Publication Type :
Academic Journal
Accession number :
159589513
Full Text :
https://doi.org/10.1080/2162402X.2020.1866287