Ansari-Pour Naser, Razaghi-Moghadam Zahra, Barneh Farnaz, Jafari Mohieddin
Faculty of New Sciences and Technology, University of Tehran , North Kargar Street, Tehran 143995-7131, Iran.
School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM) , Tehran 19395-5531, Iran.
J Proteome Res. 2016 Mar 4;15(3):1011-22. doi: 10.1021/acs.jproteome.5b01080. Epub 2016 Feb 4.
Pinpointing causal genes for spermatogenic failure (SpF) on the Y chromosome has been an ever daunting challenge with setbacks during the past decade. Since complex diseases result from the interaction of multiple genes and also display considerable missing heritability, network analysis is more likely to explicate an etiological molecular basis. We therefore took a network medicine approach by integrating interactome (protein-protein interaction (PPI)) and transcriptome data to reconstruct a Y-centric SpF network. Two sets of seed genes (Y genes and SpF-implicated genes (SIGs)) were used for network reconstruction. Since no PPI was observed among Y genes, we identified their common immediate interactors. Interestingly, 81% (N = 175) of these interactors not only interacted directly with SIGs, but also they were enriched for differentially expressed genes (89.6%; N = 43). The SpF network, formed mainly by the dys-regulated interactors and the two seed gene sets, comprised three modules enriched for ribosomal proteins and nuclear receptors for sex hormones. Ribosomal proteins generally showed significant dys-regulation with RPL39L, thought to be expressed at the onset of spermatogenesis, strongly down-regulated. This network is the first global PPI network pertaining to severe SpF and if experimentally validated on independent data sets can lead to more accurate diagnosis and potential fertility recovery of patients.
在过去十年中,确定Y染色体上精子发生失败(SpF)的致病基因一直是一项艰巨的挑战,且遭遇了诸多挫折。由于复杂疾病是由多个基因相互作用导致的,并且还表现出相当大的遗传力缺失,因此网络分析更有可能阐明其病因分子基础。为此,我们采用网络医学方法,整合相互作用组(蛋白质-蛋白质相互作用(PPI))和转录组数据,以重建一个以Y染色体为中心的SpF网络。两组种子基因(Y基因和SpF相关基因(SIGs))被用于网络重建。由于在Y基因之间未观察到PPI,我们确定了它们共同的直接相互作用分子。有趣的是,这些相互作用分子中有81%(N = 175)不仅直接与SIGs相互作用,而且它们富含差异表达基因(89.6%;N = 43)。SpF网络主要由失调的相互作用分子和两个种子基因集构成,包含三个富含核糖体蛋白和性激素核受体的模块。核糖体蛋白总体上表现出显著失调,其中RPL39L被认为在精子发生开始时表达,其表达强烈下调。该网络是首个与严重SpF相关的全局PPI网络,如果在独立数据集上得到实验验证,可能会实现对患者更准确的诊断以及潜在的生育能力恢复。