The distinguishing of gastric cancer associated genes by digital gene expression displayer using serial analysis of gene expression database / 中国医师杂志

ABSTRACT

Objective To proceed deep data mining in large database obtained by Cancer Genome Anatomy Project and to distinguish the difference expression genes of gastric carcinoma.Methods The 300,783 serial analysis of gene expression records from 4 libraries of gastric cancer and 2 libraries of normal gastric tissue in database of the Cancer Genome Anatomy Project were analyzed by digital gene expression displayer.Results The 201 difference expression tags represented 136 genes(54 up-regulated and 82 down-regulated) and 65 ESTs(24 up-regulated and 41 down-regulated) were distinguished,and these genes were involved in biological process and signal transduction pathways,such as cell cycle regulation,cell proliferation and apoptosis.The gene expression profile in whole body normal and cancer tissues of PTMA were constructed by digital Northern based on serial analysis of gene expression database and by virtual Northern based on cDNA database,respectively.Conclusion The difference expression genes of gastric cancer can be distinguished effectively with bioinformatics,and the results will guide our further molecular biology research.If validated by molecular biology experiment,the difference expression genes will be used as molecular targets of gastric carcinoma.