Abstract��Abstract: The key genes associated with malignant transformation of mesenchymal stem cells were screened to provide reference and basis for further research. Techniques in bioinformatics were applied for the malig-nant transformation risk genes of mesenchymal stem cells, which were obtained from published studies. Then, the complex protein-protein network was built by nodes expressed by those genes through online STRING software. The network was visualized and quantified using the Cytoscape software for analysis. Results showed that there were 187 related genes and a total of 1 253 functional classifications by the Gene Ontology (GO) and 100 pathways by the Kyoto Encyclopedia of Genes and Genomes (KEGG), mainly involved in the signal transduction, cell adhesion, cell cycle regulation and so on. Among the genes only 23 GO classifications and 32 KEGG pathways were significant. Finally 21 key risk genes were selected from the protein-protein network. The related key genes screened by bioinformatics could be used in indicating the tendency for malignant transformation of mesenchymal stem cells, and also help analyze the possible mechanism.
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LUO Ya-li, LIU Yong-qi, AN Fang-yu, REN Chun-zhen, LI Ling, LI Cheng-hao, ZHAO Na, ZHAO Feng. Bioinformatic Analysis of Related Key Genes in Malignant Transformation of Mesenchymal Stem Cells. Life Science Research, 2017, 21(4): 329-336.