Bioinformatics analysis of differentially expressed oncogenes in liver cancer stem cells / 中国组织工程研究

ABSTRACT

BACKGROUND:Studieshavesuggestedthat oncogene expression in liver cancer stem cels has a certain relationship withtheoccurrence and development of liver cancer, but there is stil a lack of research on bioinformatics and mechanisms. OBJECTIVE:To identify differentialy expressed genes in liver cancer stem cels and to analyze these genes by bioinformatics. METHODS:The human hepatoma cel line HepG2 was the cel tool of liver cancer stem cels to prepare total RNA, andfluorescent labelingexperiment was conducted.Usinggene chipshybridization, mRNA expression profiles were obtained and were screened, and then differentialy expressed mRNAs were obtained,GO and Pathway annotationswere analyzedusing bioinformatics. RESULTS AND CONCLUSION:The detection rate was 73.21% for hybridization experiment, indicating the hybridization experiment is successful. In this study, a total of 38342 mRNA werefound, and after further analysis, 1236 differentialy expressed genes werescreened (P< 0.05, fold change≥2), including599up-regulated and637down-regulated genes, respectively (P< 0.05). Biological functions of differentialy expressed geneswere mainly involved inthe histone H4 acetylation, cel mitosis and proliferation, synthesis and decomposition of cel-associated proteins, chromosome segregation, cel differentiation and apoptosis, signaltransduction, as wel as nutrienttransportation and transcription. Pathway annotationsweremainly related to cytokine-mediated inflammatory signaling pathway, Wnt signaling pathway, Hedgehog and Notch signaling pathways, TGF-Beta, Jak-STAT and so on. These results demonstrate that differentialy expressed genes in liver cancer stem celsarerelatedto the occurrence of liver cancer, and may be involved in the regulation of signaling pathways, which provides a new target for the treatment of liver cancer.