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:Gastric cancer is a most prevalent cancer with high mortality and strong invasiveness. Presently, there are many kinds of diagnosis and treatment methods, but the diagnosis rate of early gastric cancer is still not high, with a low five-year survival rate. Although the gastric cancer mechanism has been extensively studied, but the entire regulatory networks of gastric cancer is still unclear. We used microarrays to detect gene expression in NOL6 normal and knockdown gastric cancer cells a, and to identify differentially expressed genes in this program.
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:To understand the molecular basis of the acquisition of 5-FU resistance in gastric cancer stem cells, we established 5-FU-resistant gastric cancer organoids. We used microarrays to detail the global program of gene expression underlying 5-FU resistance and maintenance of stem cell properties in gastric cancer.
