期刊
CELL REPORTS
卷 12, 期 4, 页码 661-672出版社
CELL PRESS
DOI: 10.1016/j.celrep.2015.06.058
关键词
-
类别
资金
- Division of Intramural Research at the National Institute of Allergy and Infectious Diseases (NIAID)
- National Center for Advancing Translational Sciences (NCATS)
- National Institutes of Health (NIH)
- Project 111 of the State Bureau of Foreign Experts and Ministry of Education of China [B06016]
- National Cancer Institute, NIH [R01CA090327, R01CA101795]
- Chinese Scholar Council
Invading pathogens trigger specific host responses, an understanding of which might identify genes that function in pathogen recognition and elimination. In this study, we performed trans-species expression quantitative trait locus (ts-eQTL) analysis using genotypes of the Plasmodium yoelii malaria parasite and phenotypes of mouse gene expression. We significantly linked 1,054 host genes to parasite genetic loci (LOD score >= 3.0). Using LOD score patterns, which produced results that differed from direct expression-level clustering, we grouped host genes that function in related pathways, allowing functional prediction of unknown genes. As a proof of principle, 14 of 15 randomly selected genes predicted to function in type I interferon (IFN-I) responses were experimentally validated using overexpression, small hairpin RNA knockdown, viral infection, and/or infection of knockout mice. This study demonstrates an effective strategy for studying gene function, establishes a functional gene database, and identifies regulators in IFN-I pathways.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据