首页> 美国卫生研究院文献>Molecular Systems Biology >Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
【2h】

Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers

机译:对11种啮齿动物疾病模型的系统分析揭示了炎症组特征和关键驱动因素

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases.
机译:通过分析从11种啮齿类炎症性疾病模型中分离出的9种不同组织衍生的12种表达谱数据集,可以确定常见的炎症组基因特征以及疾病特异性特征。炎症组特征与已知的药物靶标以及与代谢异常和癌症相关的共表达的基因模块明显重叠。此特征中的很大一部分基因紧密连接在由多个独立的小鼠和人类群体构建的组织特异性贝叶斯网络(BN)中。炎症组的特征和相应的共识性BN都高度丰富了与免疫反应相关的基因,这些基因可作为肥胖,脂肪因子,糖尿病,主动脉病变,骨骼,肌肉和胆固醇等性状的因果关系,表明炎症组对多种疾病的因果关系疾病。该炎症组特征与BN的整合发现了151个关键驱动因素,就其对疾病表型的影响而言,它们在生物学上比非驱动因素更为重要。对这种炎症组特征,网络结构和主要驱动因素的识别,不仅突出了共同的病因,而且还指出了干预各种常见疾病的潜在目标。

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号