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Unraveling inflammatory responses using systems genetics and gene-environment interactions in macrophages

机译:利用系统遗传学和巨噬细胞中的基因-环境相互作用揭示炎症反应

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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.
机译:许多常见疾病具有部分由巨噬细胞介导的重要炎症成分。在这里,我们使用系统遗传学策略来检查常见的遗传变异在巨噬细胞对炎症刺激反应中的作用。我们检查了来自杂交小鼠多样性研究小组的92个菌株的巨噬细胞中全基因组的转录水平。我们将巨噬细胞暴露于对照培养基,细菌脂多糖(LPS)或氧化的磷脂。我们在每种条件下进行关联作图,并鉴定了数千个表达定量性状基因座(eQTL),基因与环境之间的相互作用以及专门控制LPS反应的eQTL“热点”。我们使用了候选基因的siRNA敲低来验证8号染色体上的eQTL热点,并将基因2310061C15Rik鉴定为巨噬细胞中炎症反应的调节剂。我们已经创建了一个公共数据库,此处提供的数据可以用作了解小鼠中建模的许多常见炎症性状以及解剖基因之间调节关系的资源。

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