Sharma Amitabh, Menche Jörg, Huang C Chris, Ort Tatiana, Zhou Xiaobo, Kitsak Maksim, Sahni Nidhi, Thibault Derek, Voung Linh, Guo Feng, Ghiassian Susan Dina, Gulbahce Natali, Baribaud Frédéric, Tocker Joel, Dobrin Radu, Barnathan Elliot, Liu Hao, Panettieri Reynold A, Tantisira Kelan G, Qiu Weiliang, Raby Benjamin A, Silverman Edwin K, Vidal Marc, Weiss Scott T, Barabási Albert-László
Center for Complex Networks Research, Department of Physics, Northeastern University, Boston, MA 02115, USA Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Center for Complex Networks Research, Department of Physics, Northeastern University, Boston, MA 02115, USA Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA Department of Theoretical Physics, Budapest University of Technology and Economics, H1111, Budapest, Hungary Center for Network Science, Central European University, Nador u. 9, 1051 Budapest, Hungary.
Hum Mol Genet. 2015 Jun 1;24(11):3005-20. doi: 10.1093/hmg/ddv001. Epub 2015 Jan 12.
Recent advances in genetics have spurred rapid progress towards the systematic identification of genes involved in complex diseases. Still, the detailed understanding of the molecular and physiological mechanisms through which these genes affect disease phenotypes remains a major challenge. Here, we identify the asthma disease module, i.e. the local neighborhood of the interactome whose perturbation is associated with asthma, and validate it for functional and pathophysiological relevance, using both computational and experimental approaches. We find that the asthma disease module is enriched with modest GWAS P-values against the background of random variation, and with differentially expressed genes from normal and asthmatic fibroblast cells treated with an asthma-specific drug. The asthma module also contains immune response mechanisms that are shared with other immune-related disease modules. Further, using diverse omics (genomics, gene-expression, drug response) data, we identify the GAB1 signaling pathway as an important novel modulator in asthma. The wiring diagram of the uncovered asthma module suggests a relatively close link between GAB1 and glucocorticoids (GCs), which we experimentally validate, observing an increase in the level of GAB1 after GC treatment in BEAS-2B bronchial epithelial cells. The siRNA knockdown of GAB1 in the BEAS-2B cell line resulted in a decrease in the NFkB level, suggesting a novel regulatory path of the pro-inflammatory factor NFkB by GAB1 in asthma.
遗传学的最新进展推动了在系统鉴定复杂疾病相关基因方面的快速进展。然而,对于这些基因影响疾病表型的分子和生理机制的详细理解仍然是一项重大挑战。在这里,我们识别出哮喘疾病模块,即相互作用组中其扰动与哮喘相关的局部邻域,并使用计算和实验方法对其功能和病理生理相关性进行验证。我们发现,在随机变异背景下,哮喘疾病模块富含适度的全基因组关联研究(GWAS)P值,以及来自用哮喘特异性药物处理的正常和成纤维细胞的差异表达基因。哮喘模块还包含与其他免疫相关疾病模块共有的免疫反应机制。此外,利用多种组学(基因组学、基因表达、药物反应)数据,我们确定GAB1信号通路是哮喘中一种重要的新型调节因子。所发现的哮喘模块的连接图表明GAB1与糖皮质激素(GCs)之间存在相对紧密的联系,我们通过实验验证了这一点,观察到在BEAS-2B支气管上皮细胞中GC处理后GAB1水平升高。BEAS-2B细胞系中GAB1的小干扰RNA(siRNA)敲低导致核因子κB(NFkB)水平降低,这表明在哮喘中GAB1对促炎因子NFkB有一条新的调节途径。