Affiliation:
1. Biomedical Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Lab of Computational Linguistics, School of Humanities and Social Sciences, Tsinghua University, Beijing 100084, China
Abstract
Studies were done on analysis of biological processes in the same high expression (fold change ≥2) activatedPTHLHfeedback-mediated cell adhesion gene ontology (GO) network of human hepatocellular carcinoma (HCC) compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection). ActivatedPTHLHfeedback-mediated cell adhesion network consisted of anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport in HCC. We proposed activatedPTHLHcoupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Our hypothesis was verified by the different activatedPTHLHfeedback-mediated cell adhesion GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. ActivatedPTHLHcoupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network includedBUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP,andVCANin HCC from GEO dataset using gene regulatory network inference method and our programming.
Funder
National Natural Science Foundation of China
Subject
General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine
Cited by
16 articles.
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