Project description:Cancer cells have wide variety of gene expression profile. The objective of the study is to reveal the cancer-associated gene expression profile. Microarray analysis was used to investigate gene expression of cancer cells. Both gastric and pancreatic cancer tissues were surgically resected and total RNA was purified from these tissues by a conventional method.
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:Gastrointestinal (GI) motility disorders affect millions of people worldwide, yet remain poorly treated due to insufficient knowledge of the molecular networks controlling GI motility. Interstitial cells of Cajal (ICC) are critical GI pacemaker cells, and abnormalities in ICC are implicated in GI motility disorders. Nevertheless, human ICC are poorly characterised, largely due to difficulties in accessing sufficient numbers for research. Two cell surface proteins have been identified as ICC markers: the receptor tyrosine kinase, KIT; and the calcium-activated chloride channel, Anoctamin-1 (ANO1). Anti-KIT antibodies have been used to purify mouse ICC via flow cytometry. Here, we performed single-cell RNA sequencing of KIT-sorted, primary human gastric ICC to better understand networks controlling human ICC biology.
Project description:Molecular knowledge of normal gastric tissues and gastric cancers remains incomplete. Here, we used single-cell RNA-seq to study the cell diversity of gastric tissues and gastric cancers. The expression landscape of normal gastric cell types and several candidate stem cell markers were obtained. Surprisingly, nearly all cell types in the antrum could transdifferentiate to intestinal metaplasia (IM). We also explored intra-tumoral heterogeneity and identified four common features of gastric cancer. In addition, we classified tumor cells into three major subtypes, which are associated with their prognosis. Finally, the proportions of mesenchymal and endothelial cells in the tumor microenvironment (TME) were negatively correlated with the prognosis of gastric cancer. Therefore, our work provides comprehensive molecular characterizations of both gastric development and gastric cancer at single-cell resolution and has significant potential to inspire better treatment strategies for gastric cancer. Keywords: Expression profiling by high throughput sequencing
Project description:To explor the role of lncRNAs in gastric cancer progression, we performed a microarray analysis to systematically screen the differential expression of lncRNAs between six human gastric cancer tissues and their matched non-tumor tissues
Project description:The goal of the project is to analyze different layers of proteome information including protein abundance and post-translational modifications of PGRC gastric tissue samples. Three pairs of human gastric cancer and adjacent normal tissues were extensively characterized by serial enrichments of phosphorylation and N-glycosylation (SEPG) coupled to LC-MS/MS method.
Project description:We performed RNA-seq experiments to identify differentially expressed intergenic transcripts between gastric cancer and normal tissues/cells.
Project description:By the high sensitive cricular RNA micro array, we commpared 10211 circular RNAs abundant in the human gastric cancer tissues and adjacent normal gastric mucosa tissues, and the functional role of differentially expressed circular RNAs were analyzed by bioinformatics. The enrichment results indicated that these circular RNAs may involevd in the occurrence and progression process of gastric cancer.