Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences.
National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Nucleic Acids Res. 2018 Jan 4;46(D1):D522-D526. doi: 10.1093/nar/gkx981.
DifferentialNet is a novel database that provides users with differential interactome analysis of human tissues (http://netbio.bgu.ac.il/diffnet/). Users query DifferentialNet by protein, and retrieve its differential protein-protein interactions (PPIs) per tissue via an interactive graphical interface. To compute differential PPIs, we integrated available data of experimentally detected PPIs with RNA-sequencing profiles of tens of human tissues gathered by the Genotype-Tissue Expression consortium (GTEx) and by the Human Protein Atlas (HPA). We associated each PPI with a score that reflects whether its corresponding genes were expressed similarly across tissues, or were up- or down-regulated in the selected tissue. By this, users can identify tissue-specific interactions, filter out PPIs that are relatively stable across tissues, and highlight PPIs that show relative changes across tissues. The differential PPIs can be used to identify tissue-specific processes and to decipher tissue-specific phenotypes. Moreover, they unravel processes that are tissue-wide yet tailored to the specific demands of each tissue.
DifferentialNet 是一个新颖的数据库,为用户提供人类组织的差异互作组分析(http://netbio.bgu.ac.il/diffnet/)。用户通过蛋白质查询 DifferentialNet,并通过交互式图形界面检索每个组织的差异蛋白质-蛋白质相互作用(PPIs)。为了计算差异 PPIs,我们将实验检测到的 PPIs 的可用数据与数十个人类组织的 RNA 测序图谱整合在一起,这些组织由基因型-组织表达联盟(GTEx)和人类蛋白质图谱(HPA)收集。我们将每个 PPI 与一个分数相关联,该分数反映了其相应基因在组织间是否表达相似,或者在所选组织中是上调还是下调。通过这种方式,用户可以识别组织特异性相互作用,滤除在组织间相对稳定的 PPIs,并突出显示在组织间显示相对变化的 PPIs。差异 PPIs 可用于识别组织特异性过程,并解析组织特异性表型。此外,它们揭示了广泛存在于组织中的过程,但又针对每个组织的特定需求进行了调整。