生物
免疫系统
基因
基因表达
疾病
遗传学
计算生物学
内科学
医学
作者
Blagoje Soskic,Eddie Cano-Gamez,Deborah J. Smyth,Kirsty Ambridge,Ziying Ke,Julie C. Matte,Lara Bossini‐Castillo,Joanna Kaplanis,Lucia Ramirez-Navarro,Anna Lorenc,Nikolina Nakić,Jorge Esparza-Gordillo,Wendy C. Rowan,David Willé,David F. Tough,Paola G. Bronson,Gosia Trynka
出处
期刊:Nature Genetics
[Springer Nature]
日期:2022-05-26
卷期号:54 (6): 817-826
被引量:93
标识
DOI:10.1038/s41588-022-01066-3
摘要
Abstract During activation, T cells undergo extensive gene expression changes that shape the properties of cells to exert their effector function. Understanding the regulation of this process could help explain how genetic variants predispose to immune diseases. Here, we mapped genetic effects on gene expression (expression quantitative trait loci (eQTLs)) using single-cell transcriptomics. We profiled 655,349 CD4 + T cells, capturing transcriptional states of unstimulated cells and three time points of cell activation in 119 healthy individuals. This identified 38 cell clusters, including transient clusters that were only present at individual time points of activation. We found 6,407 genes whose expression was correlated with genetic variation, of which 2,265 (35%) were dynamically regulated during activation. Furthermore, 127 genes were regulated by variants associated with immune-mediated diseases, with significant enrichment for dynamic effects. Our results emphasize the importance of studying context-specific gene expression regulation and provide insights into the mechanisms underlying genetic susceptibility to immune-mediated diseases.
科研通智能强力驱动
Strongly Powered by AbleSci AI