Applied Biochemistry and Biotechnology

, Volume 167, Issue 3, pp 621–631

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

Article

DOI: 10.1007/s12010-012-9704-x

Cite this article as:
Wang, N., Xu, H., Zhao, X. et al. Appl Biochem Biotechnol (2012) 167: 621. doi:10.1007/s12010-012-9704-x

Abstract

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.

Keywords

MicroRNA (miRNA)CancerApoptosisProtein–protein interaction (PPI) networkNaïve Bayesian model

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Nan Wang
    • 1
  • Huai-long Xu
    • 1
  • Xu Zhao
    • 1
  • Xin Wen
    • 1
  • Feng-tian Wang
    • 1
  • Shu-ya Wang
    • 1
  • Lei-lei Fu
    • 1
  • Bo Liu
    • 1
  • Jin-ku Bao
    • 1
  1. 1.School of Life Sciences and The State Key Laboratory of Biotherapy and Cancer CenterWest China Hospital, Sichuan UniversityChengduChina