Bioinformatics analysis of differentially expressed oncogenes in liver cancer stem cells

doi:10.3969/j.issn.2095-4344.2016.23.009

Abstract

Abstract:

BACKGROUND: Studies have suggested that oncogene expression in liver cancer stem cells has a certain relationship with the occurrence and development of liver cancer, but there is still a lack of research on bioinformatics and mechanisms.
OBJECTIVE: To identify differentially expressed genes in liver cancer stem cells and to analyze these genes by bioinformatics.
METHODS: The human hepatoma cell line HepG2 was the cell tool of liver cancer stem cells to prepare total RNA, and fluorescent labeling experiment was conducted. Using gene chips hybridization, mRNA expression profiles were obtained and were screened, and then differentially expressed mRNAs were obtained, GO and Pathway annotations were analyzed using 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 38 342 mRNA were found, and after further analysis, 1 236 differentially expressed genes were screened (P < 0.05, fold change ≥ 2), including 599 up-regulated and 637 down-regulated genes, respectively (P < 0.05). Biological functions of differentially expressed genes were mainly involved in the histone H4 acetylation, cell mitosis and proliferation, synthesis and decomposition of cell-associated proteins, chromosome segregation, cell differentiation and apoptosis, signal transduction, as well as nutrient transportation and transcription. Pathway annotations were mainly 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 differentially expressed genes in liver cancer stem cells are related to 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.

中国组织工程研究杂志出版内容重点：干细胞；骨髓干细胞；造血干细胞；脂肪干细胞；肿瘤干细胞；胚胎干细胞；脐带脐血干细胞；干细胞诱导；干细胞分化；组织工程

Key words: Stem cells, Liver Neoplasm, Tissue Engineering

CLC Number:

R394.2

Li Shu-na, Song Na-na . Bioinformatics analysis of differentially expressed oncogenes in liver cancer stem cells[J]. Chinese Journal of Tissue Engineering Research, 2016, 20(23): 3407-3412.

Figures/Tables 1

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