Sahni Nidhi, Yi Song, Taipale Mikko, Fuxman Bass Juan I, Coulombe-Huntington Jasmin, Yang Fan, Peng Jian, Weile Jochen, Karras Georgios I, Wang Yang, Kovács István A, Kamburov Atanas, Krykbaeva Irina, Lam Mandy H, Tucker George, Khurana Vikram, Sharma Amitabh, Liu Yang-Yu, Yachie Nozomu, Zhong Quan, Shen Yun, Palagi Alexandre, San-Miguel Adriana, Fan Changyu, Balcha Dawit, Dricot Amelie, Jordan Daniel M, Walsh Jennifer M, Shah Akash A, Yang Xinping, Stoyanova Ani K, Leighton Alex, Calderwood Michael A, Jacob Yves, Cusick Michael E, Salehi-Ashtiani Kourosh, Whitesell Luke J, Sunyaev Shamil, Berger Bonnie, Barabási Albert-László, Charloteaux Benoit, Hill David E, Hao Tong, Roth Frederick P, Xia Yu, Walhout Albertha J M, Lindquist Susan, Vidal Marc
Genomic Analysis of Network Perturbations Center of Excellence in Genomic Science (CEGS), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Cell. 2015 Apr 23;161(3):647-660. doi: 10.1016/j.cell.2015.04.013.
How disease-associated mutations impair protein activities in the context of biological networks remains mostly undetermined. Although a few renowned alleles are well characterized, functional information is missing for over 100,000 disease-associated variants. Here we functionally profile several thousand missense mutations across a spectrum of Mendelian disorders using various interaction assays. The majority of disease-associated alleles exhibit wild-type chaperone binding profiles, suggesting they preserve protein folding or stability. While common variants from healthy individuals rarely affect interactions, two-thirds of disease-associated alleles perturb protein-protein interactions, with half corresponding to "edgetic" alleles affecting only a subset of interactions while leaving most other interactions unperturbed. With transcription factors, many alleles that leave protein-protein interactions intact affect DNA binding. Different mutations in the same gene leading to different interaction profiles often result in distinct disease phenotypes. Thus disease-associated alleles that perturb distinct protein activities rather than grossly affecting folding and stability are relatively widespread.
在生物网络背景下,疾病相关突变如何损害蛋白质活性大多仍未确定。尽管少数著名的等位基因已得到充分表征,但超过10万个疾病相关变体的功能信息仍缺失。在此,我们使用各种相互作用测定方法,对一系列孟德尔疾病中的数千个错义突变进行功能分析。大多数疾病相关等位基因呈现野生型伴侣蛋白结合谱,表明它们保留了蛋白质折叠或稳定性。虽然健康个体的常见变体很少影响相互作用,但三分之二的疾病相关等位基因会干扰蛋白质-蛋白质相互作用,其中一半对应于“边缘”等位基因,仅影响一部分相互作用,而使大多数其他相互作用不受干扰。对于转录因子,许多不影响蛋白质-蛋白质相互作用的等位基因会影响DNA结合。同一基因中的不同突变导致不同的相互作用谱,往往会产生不同的疾病表型。因此,扰乱不同蛋白质活性而非严重影响折叠和稳定性的疾病相关等位基因相对普遍。