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Unraveling Inflammatory Responses using Systems Genetics and Gene-Environment Interactions in Macrophages
Author(s) -
Luz D. Orozco,
Brian J. Bennett,
Charles R. Farber,
Anatole Ghazalpour,
Calvin Pan,
Nam Che,
Ping-Zi Wen,
Hong Qi,
Adonisa Mutukulu,
Nathan O. Siemers,
Isaac Neuhaus,
Roumyana Yordanova,
Peter S. Gargalovic,
Matteo Pellegrini,
Todd G. Kirchgessner,
Aldons J. Lusis
Publication year - 2012
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2012.08.043
Subject(s) - biology , genetics , gene , computational biology
Many common diseases have an important inflammatory component mediated in part by macrophages. Here we used a systems genetics strategy to examine the role of common genetic variation in macrophage responses to inflammatory stimuli. We examined genome-wide transcript levels in macrophages from 92 strains of the Hybrid Mouse Diversity Panel. We exposed macrophages to control media, bacterial lipopolysaccharide (LPS), or oxidized phospholipids. We performed association mapping under each condition and identified several thousand expression quantitative trait loci (eQTL), gene-by-environment interactions, and eQTL "hot spots" that specifically control LPS responses. We used siRNA knockdown of candidate genes to validate an eQTL hot spot in chromosome 8 and identified the gene 2310061C15Rik as a regulator of inflammatory responses in macrophages. We have created a public database where the data presented here can be used as a resource for understanding many common inflammatory traits that are modeled in the mouse and for the dissection of regulatory relationships between genes.

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