| Literature DB >> 31745340 |
Ang A Tu1,2, Todd M Gierahn1, Brinda Monian1,3, Duncan M Morgan1,3, Naveen K Mehta1,2, Bert Ruiter4,5, Wayne G Shreffler4,5,6, Alex K Shalek7,8,9,10, J Christopher Love11,12,13,14.
Abstract
High-throughput 3' single-cell RNA-sequencing (scRNA-seq) allows cost-effective, detailed characterization of individual immune cells from tissues. Current techniques, however, are limited in their ability to elucidate essential immune cell features, including variable sequences of T cell antigen receptors (TCRs) that confer antigen specificity. Here, we present a strategy that enables simultaneous analysis of TCR sequences and corresponding full transcriptomes from 3'-barcoded scRNA-seq samples. This approach is compatible with common 3' scRNA-seq methods, and adaptable to processed samples post hoc. We applied the technique to identify transcriptional signatures associated with T cells sharing common TCRs from immunized mice and from patients with food allergy. We observed preferential phenotypes among subsets of expanded clonotypes, including type 2 helper CD4+ T cell (TH2) states associated with food allergy. These results demonstrate the utility of our method when studying diseases in which clonotype-driven responses are critical to understanding the underlying biology.Entities:
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Year: 2019 PMID: 31745340 PMCID: PMC7528220 DOI: 10.1038/s41590-019-0544-5
Source DB: PubMed Journal: Nat Immunol ISSN: 1529-2908 Impact factor: 25.606