Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response
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...
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doaj-c3ec944f4b004d95b87121df5254cb362020-11-25T01:49:09ZengElsevierCell Reports2211-12472015-07-0112466167210.1016/j.celrep.2015.06.058Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon ResponseJian Wu0Baowei Cai1Wenxiang Sun2Ruili Huang3Xueqiao Liu4Meng Lin5Sittiporn Pattaradilokrat6Scott Martin7Yanwei Qi8Sethu C. Nair9Silvia Bolland10Jeffrey I. Cohen11Christopher P. Austin12Carole A. Long13Timothy G. Myers14Rong-Fu Wang15Xin-zhuan Su16Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USAState Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361005, PRCLaboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USANational Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USACenter for Inflammation and Epigenetics, Houston Methodist Research Institute, Houston, TX 77030, USALaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USANational Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USANational Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892-8132, USALaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USAGenomic Technologies Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USACenter for Inflammation and Epigenetics, Houston Methodist Research Institute, Houston, TX 77030, USALaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-8132, USAInvading 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.http://www.sciencedirect.com/science/article/pii/S2211124715006841 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian Wu Baowei Cai Wenxiang Sun Ruili Huang Xueqiao Liu Meng Lin Sittiporn Pattaradilokrat Scott Martin Yanwei Qi Sethu C. Nair Silvia Bolland Jeffrey I. Cohen Christopher P. Austin Carole A. Long Timothy G. Myers Rong-Fu Wang Xin-zhuan Su |
spellingShingle |
Jian Wu Baowei Cai Wenxiang Sun Ruili Huang Xueqiao Liu Meng Lin Sittiporn Pattaradilokrat Scott Martin Yanwei Qi Sethu C. Nair Silvia Bolland Jeffrey I. Cohen Christopher P. Austin Carole A. Long Timothy G. Myers Rong-Fu Wang Xin-zhuan Su Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response Cell Reports |
author_facet |
Jian Wu Baowei Cai Wenxiang Sun Ruili Huang Xueqiao Liu Meng Lin Sittiporn Pattaradilokrat Scott Martin Yanwei Qi Sethu C. Nair Silvia Bolland Jeffrey I. Cohen Christopher P. Austin Carole A. Long Timothy G. Myers Rong-Fu Wang Xin-zhuan Su |
author_sort |
Jian Wu |
title |
Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response |
title_short |
Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response |
title_full |
Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response |
title_fullStr |
Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response |
title_full_unstemmed |
Genome-wide Analysis of Host-Plasmodium yoelii Interactions Reveals Regulators of the Type I Interferon Response |
title_sort |
genome-wide analysis of host-plasmodium yoelii interactions reveals regulators of the type i interferon response |
publisher |
Elsevier |
series |
Cell Reports |
issn |
2211-1247 |
publishDate |
2015-07-01 |
description |
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. |
url |
http://www.sciencedirect.com/science/article/pii/S2211124715006841 |
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