Durmuş Tekir Saliha, Ümit Pelin, Eren Toku Aysun, Ülgen Kutlu Ö
Department of Chemical Engineering, Boğaziçi University, 34342 Bebek, İstanbul, Turkey.
J Biomed Biotechnol. 2010;2010:690925. doi: 10.1155/2010/690925. Epub 2010 Dec 14.
Diabetes is one of the most prevalent diseases in the world. Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because of the defect in pancreatic β-cells as well as by the failure of responding to insulin because of malfunctioning of insulin signaling. In order to understand the signaling mechanisms of responding to insulin, it is necessary to identify all components in the insulin signaling network. Here, an interaction network consisting of proteins that have statistically high probability of being biologically related to insulin signaling in Homo sapiens was reconstructed by integrating Gene Ontology (GO) annotations and interactome data. Furthermore, within this reconstructed network, interacting proteins which mediate the signal from insulin hormone to glucose transportation were identified using linear paths. The identification of key components functioning in insulin action on glucose metabolism is crucial for the efforts of preventing and treating type 2 diabetes mellitus.
糖尿病是世界上最普遍的疾病之一。1型糖尿病的特征是由于胰腺β细胞被破坏而导致胰岛素合成和分泌失败。另一方面,2型糖尿病的特点是由于胰腺β细胞缺陷导致胰岛素合成和分泌减少,以及由于胰岛素信号传导功能失常而导致对胰岛素反应失败。为了理解胰岛素反应的信号传导机制,有必要识别胰岛素信号网络中的所有成分。在此,通过整合基因本体论(GO)注释和相互作用组数据,重建了一个由在人类中与胰岛素信号传导具有统计学上高生物学相关性的蛋白质组成的相互作用网络。此外,在这个重建的网络中,使用线性路径识别了介导从胰岛素激素到葡萄糖转运信号的相互作用蛋白。识别在胰岛素对葡萄糖代谢作用中起关键作用的成分对于预防和治疗2型糖尿病的努力至关重要。