Network-Based Identification of Novel Connections Among Apoptotic Signaling Pathways in Cancer.

Autor: Wang, Nan, Xu, Huai-long, Zhao, Xu, Wen, Xin, Wang, Feng-tian, Wang, Shu-ya, Fu, Lei-lei, Liu, Bo, Bao, Jin-ku
Zdroj: Applied Biochemistry & Biotechnology; Jun2012, Vol. 167 Issue 3, p621-631, 11p
Abstrakt: MicroRNAs (miRNAs), highly conserved, non-coding endogenous RNA and nearly ~22 nucleotides (nt) in length, are well-known to regulate several apoptotic pathways in cancer. In this study, we computationally constructed the initial human apoptotic PPI network by several online databases, and further integrated these high-throughput datasets into a Naïve Bayesian model to predict protein functional connections. Based on the modified apoptotic network, we identified several apoptotic hub proteins such as TP53, SRC, M3K3/5/8, cyclin-dependent kinase2/6, TNFR16/19, and TGF-β receptor 1/2. Subsequently, we identified some microRNAs that could target the aforementioned apoptotic hub proteins by using TargetScan, PicTar, and Diana-MicroH. In conclusion, these results demonstrate the PPI network-based identification of new connections amongst apoptotic pathways in cancer, which may shed new light on the intricate relationships between core apoptotic pathways and some targeted miRNAs in human cancers. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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