Project description:We investigated microRNA expression profiles of gastric cancer tissues from Pdx-1-Cre;Cdh1F/+;Trp53F/F;Smad4F/F mice (pChePS_GC) and normal gastric epithelium (NGE) from Pdx1-1-Cre-negative mice. We used microarrays to detail the global microRNA expression underlying gastric carcinogenesis and identified distinct classes of up and down-regulated microRNAs during this process.
Project description:MicroRNA (miRNA) expression profiles for gastric cancers were examined to investigate the miRNA involvement in stomach carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate stomach cancers from noncancerous stomach tissues.
Project description:We investigated gene expression profiles of gastric cancer tissues from Pdx-1-Cre;Cdh1F/+;Trp53F/F;Smad4F/F mice (pChePS_GC), gastric cancer tissues from Pdx-1-Cre;Cdh1F/F;Trp53F/F mice (pCP_GC), and normal gastric epithelium (NGE) from Pdx1-1-Cre-negative mice. We used microarrays to detail the global programme of gene expression underlying gastric carcinogenesis and identified distinct classes of up and down-regulated genes during this process.
Project description:Gastric cancers account for the fourth most frequent cancer death worldwide. Although many differential gene expression profiles are reported for gastric cancers, their variation at the post-transcriptional level has not been provided yet. In this study, we compared the gene expressions of normal stomach vs. stomach cancer in an exon-wise manner and compared alternatively spliced transcripts. The RNA from normal and cancer tissues of gastric cancer patients were subjected to Exon 1.0 ST microarrays. Transcriptome analysis of RNAs from normal and cancer tissues of human stomach by exon array. We analyzed 30 pairs of normal-cancer stomach tissues using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by the Affymetrix Exon Array Computational Tool.