Network-based identification of novel connections among apoptotic signaling pathways in cancer

Applied Biochemistry and Biotechnology
Nan WangJin-ku Bao

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.

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Citations

Jun 25, 2013·Cancer Letters·Zheng ShiJin-ku Bao
Dec 3, 2014·Phytomedicine : International Journal of Phytotherapy and Phytopharmacology·Liang OuyangGu He
Feb 13, 2016·International Journal of Molecular Sciences·Zheng ShiYong Tang
Mar 13, 2016·Phytomedicine : International Journal of Phytotherapy and Phytopharmacology·Girish RaiYogeshwer Shukla
Jul 26, 2015·Applied Biochemistry and Biotechnology·Mohammed GagaouaMiguel Angel Sentandreu
Apr 10, 2013·Pharmacology & Therapeutics·Jörn LötschAlfred Ultsch
Mar 2, 2017·Applied Biochemistry and Biotechnology·Mozhgan AbasiHossein Ghanbarian
Dec 18, 2019·Applied Biochemistry and Biotechnology·Anurag Kumar Verma, Saurabh Pal

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