生物
T细胞受体
转录组
计算生物学
T细胞
表型
免疫系统
抗原
单细胞测序
基因
RNA序列
核糖核酸
遗传学
基因表达
外显子组测序
作者
Ang Andy Tu,Todd M. Gierahn,Brinda Monian,Duncan M. Morgan,Naveen K. Mehta,Bert Ruiter,Wayne G. Shreffler,Alex K. Shalek,John Christopher Love
出处
期刊:Nature Immunology
[Nature Portfolio]
日期:2019-11-19
卷期号:20 (12): 1692-1699
被引量:126
标识
DOI:10.1038/s41590-019-0544-5
摘要
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.
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