Project description:Small nucleolar RNAs (snoRNAs) are a highly conserved category of non-coding RNAs that play emerging roles in tumorigenesis and aggressiveness. However, the functions and underlying mechanisms of snoRNAs in regulating gastric cancer progression remain elusive. We identify SNORA37 as a driver of alternative splicing and gastric cancer progression. To explore the expression profiles of snoRNAs, we employed the Illumina HiSeq X Ten as a discovery platform to analyze the transcriptome profiling in three pairs of gastric cancer and corresponding normal epithelial specimens. The results showed 15 differentially expressed snoRNAs in gastric cancer tissues, including 9 up-regulated and 6 down-regulated snoRNAs. Meanwhile, 2204 alternative splicing events were also discovered in gastric cancer tissues compared to those in adjacent normal epithelial tissues. Furthermore, we validated the RNA-seq results by real-time RT-PCR with high identity. Overall, our results provided fundamental information about the transcriptomic changes in human gastric cancer tissues, and these findings will help us understand the pathogenesis of cancer progression.
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues.
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed microRNA in gastric cancer tissue.s
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues 10 tissues (5 paired of gastric cancer vs.normal tissues) were analysed. We generated the following pairwise comparisons:C1 VS.N1;C2 VS.N2;C3 VS.N3;C4 VS.N4;C5 VS.N5; genes with a fold-change ≥2 were selected
Project description:Genome wide DNA methylation profiling of normal gastric epuithelial cells and gastric cancer cell lines. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 450,000 CpGs. Samples included 2 normal gastric epithelial cells and 14 gastric cancer cells.
Project description:We performed RNA-seq experiments to identify differentially expressed intergenic transcripts between gastric cancer and normal tissues/cells. Three primary cell culture samples from gastric cancer tissues, three gastric cancer cell lines and two normal tissue samples were used for the experiments.
Project description:We performed RNA-seq experiments to identify differentially expressed intergenic transcripts between gastric cancer and normal tissues/cells.