| Literature DB >> 26190101 |
Jian Wu1, Baowei Cai2, Wenxiang Sun3, Ruili Huang4, Xueqiao Liu5, Meng Lin6, Sittiporn Pattaradilokrat7, Scott Martin4, Yanwei Qi8, Sethu C Nair1, Silvia Bolland3, Jeffrey I Cohen5, Christopher P Austin4, Carole A Long1, Timothy G Myers9, Rong-Fu Wang10, Xin-Zhuan Su11.
Abstract
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.Entities:
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Year: 2015 PMID: 26190101 PMCID: PMC4520759 DOI: 10.1016/j.celrep.2015.06.058
Source DB: PubMed Journal: Cell Rep Impact factor: 9.423