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Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity

Regulation of gene expression in immune cells is known to be under genetic control, and likely contributes to susceptibility to autoimmune diseases, such as multiple sclerosis (MS). How this occurs in concert across multiple immune cell types is poorly understood. Using a mouse model that harnesses...

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Autores principales: Bearoff, Frank, del Rio, Roxana, Case, Laure K., Dragon, Julie A., Nguyen-Vu, Trang, Lin, Chin-Yo, Blankenhorn, Elizabeth P., Teuscher, Cory, Krementsov, Dimitry N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133152/
https://www.ncbi.nlm.nih.gov/pubmed/27653816
http://dx.doi.org/10.1038/gene.2016.37
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author Bearoff, Frank
del Rio, Roxana
Case, Laure K.
Dragon, Julie A.
Nguyen-Vu, Trang
Lin, Chin-Yo
Blankenhorn, Elizabeth P.
Teuscher, Cory
Krementsov, Dimitry N.
author_facet Bearoff, Frank
del Rio, Roxana
Case, Laure K.
Dragon, Julie A.
Nguyen-Vu, Trang
Lin, Chin-Yo
Blankenhorn, Elizabeth P.
Teuscher, Cory
Krementsov, Dimitry N.
author_sort Bearoff, Frank
collection PubMed
description Regulation of gene expression in immune cells is known to be under genetic control, and likely contributes to susceptibility to autoimmune diseases, such as multiple sclerosis (MS). How this occurs in concert across multiple immune cell types is poorly understood. Using a mouse model that harnesses the genetic diversity of wild-derived mice, more accurately reflecting genetically diverse human populations, we provide an extensive characterization of the genetic regulation of gene expression in five different naïve immune cell types relevant to MS. The immune cell transcriptome is shown to be under profound genetic control, exhibiting diverse patterns: global, cell-specific, and sex-specific. Bioinformatic analysis of the genetically-controlled transcript networks reveals reduced cell type-specificity and inflammatory activity in wild-derived PWD/PhJ mice, compared with the conventional laboratory strain C57BL/6J. Additionally, candidate MS-GWAS genes were significantly enriched among transcripts overrepresented in C57BL/6J cells compared to PWD. These expression level differences correlate with robust differences in susceptibility to experimental autoimmune encephalomyelitis, the principal model of MS, and skewing of the encephalitogenic T cell responses. Taken together, our results provide functional insights into the genetic regulation of the immune transcriptome, and shed light on how this in turn contributes to susceptibility to autoimmune disease.
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spelling pubmed-51331522017-03-22 Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity Bearoff, Frank del Rio, Roxana Case, Laure K. Dragon, Julie A. Nguyen-Vu, Trang Lin, Chin-Yo Blankenhorn, Elizabeth P. Teuscher, Cory Krementsov, Dimitry N. Genes Immun Article Regulation of gene expression in immune cells is known to be under genetic control, and likely contributes to susceptibility to autoimmune diseases, such as multiple sclerosis (MS). How this occurs in concert across multiple immune cell types is poorly understood. Using a mouse model that harnesses the genetic diversity of wild-derived mice, more accurately reflecting genetically diverse human populations, we provide an extensive characterization of the genetic regulation of gene expression in five different naïve immune cell types relevant to MS. The immune cell transcriptome is shown to be under profound genetic control, exhibiting diverse patterns: global, cell-specific, and sex-specific. Bioinformatic analysis of the genetically-controlled transcript networks reveals reduced cell type-specificity and inflammatory activity in wild-derived PWD/PhJ mice, compared with the conventional laboratory strain C57BL/6J. Additionally, candidate MS-GWAS genes were significantly enriched among transcripts overrepresented in C57BL/6J cells compared to PWD. These expression level differences correlate with robust differences in susceptibility to experimental autoimmune encephalomyelitis, the principal model of MS, and skewing of the encephalitogenic T cell responses. Taken together, our results provide functional insights into the genetic regulation of the immune transcriptome, and shed light on how this in turn contributes to susceptibility to autoimmune disease. 2016-09-22 2016-12 /pmc/articles/PMC5133152/ /pubmed/27653816 http://dx.doi.org/10.1038/gene.2016.37 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Bearoff, Frank
del Rio, Roxana
Case, Laure K.
Dragon, Julie A.
Nguyen-Vu, Trang
Lin, Chin-Yo
Blankenhorn, Elizabeth P.
Teuscher, Cory
Krementsov, Dimitry N.
Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title_full Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title_fullStr Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title_full_unstemmed Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title_short Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity
title_sort natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to cns autoimmunity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133152/
https://www.ncbi.nlm.nih.gov/pubmed/27653816
http://dx.doi.org/10.1038/gene.2016.37
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