Linking the T cell receptor to the single cell transcriptome in antigen‐specific human T cells
Heterogeneity of T cells is a hallmark of a successful adaptive immune response, harnessing the vast diversity of antigen‐specific T cells into a coordinated evolution of effector and memory outcomes. The T cell receptor (TCR) repertoire is highly diverse to account for the highly heterogeneous anti...
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Published in | Immunology and cell biology Vol. 94; no. 6; pp. 604 - 611 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Nature Publishing Group
01.07.2016
Blackwell Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | Heterogeneity of T cells is a hallmark of a successful adaptive immune response, harnessing the vast diversity of antigen‐specific T cells into a coordinated evolution of effector and memory outcomes. The T cell receptor (TCR) repertoire is highly diverse to account for the highly heterogeneous antigenic world. During the response to a virus multiple individual clones of antigen specific CD8+ (Ag‐specific) T cells can be identified against a single epitope and multiple epitopes are recognised. Advances in single‐cell technologies have provided the potential to study Ag‐specific T cell heterogeneity at both surface phenotype and transcriptome levels, thereby allowing investigation of the diversity within the same apparent sub‐population. We propose a new method (VDJPuzzle) to reconstruct the native TCRαβ from single cell RNA‐seq data of Ag‐specific T cells and then to link these with the gene expression profile of individual cells. We applied this method using rare Ag‐specific T cells isolated from peripheral blood of a subject who cleared hepatitis C virus infection. We successfully reconstructed productive TCRαβ in 56 of a total of 63 cells (89%), with double α and double β in 18, and 7% respectively, and double TCRαβ in 2 cells. The method was validated via standard single cell PCR sequencing of the TCR. We demonstrate that single‐cell transcriptome analysis can successfully distinguish Ag‐specific T cell populations sorted directly from resting memory cells in peripheral blood and sorted after ex vivo stimulation. This approach allows a detailed analysis of the TCR diversity and its relationship with the transcriptional profile of different clones. |
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Bibliography: | These authors contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0818-9641 1440-1711 1440-1711 |
DOI: | 10.1038/icb.2016.16 |