Project description:Comparing to matched normal mucosa, WTX was lost in most of human colorectal cancers (Zhang et al., 2016). We analyzed the microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa. The aimed to identify the unique signature of miRNAs which related to WTX loss in human colorectal cancers.
Project description:Comparing to matched normal mucosa, WTX was lost in most of human gastric cancers (Zhang et al., 2016). We analyzed the microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa. The aimed to identify the unique signature of miRNAs which related to WTX loss in human colorectal cancers.
Project description:We used microarrays to determine global gene expression in primary tumor tissues (ESCC) and matched normal tissues (adjacent normal esophageal mucosa)
Project description:We evaluated the profile of miRNA expression in 6 colorectal adenoma (CRA), 6 colorectal adenocarcinoma (CRC) and 6 matched normal mucosa (NOR) using the Exiqon miRCURY LNA microRNA array,7th generation. We found that global dysregulated miRNAs between colorectal lesions and normal mucosa. Our findings implicates that dysregulation of miRNAs may play important role in the carcinogenesis and present therapeutic targets for CRC.
Project description:Purpose: Examine H3K27ac enhancer and super-enhancer landscape differences between primary colorectal carcinoma and adjacent normal mucosa towards the identification of novel downstream targets. Methods: H3K27ac ChIP-seq and RNA-seq were performed on fresh primary colorectal carcinoma samples and normal colonic mucosa, from human patient samples. Results: We identified 2026 total super-enhancers in our cohort, between primary colorectal and normal mucosa. We quantified differences in H3K27ac signal within this space, between tumor and normal, and identified putative downstream target genes through integration with sample matched RNA-seq using a positive linear correlation model to identifty putative target genes.
Project description:We evaluated the profile of miRNA and snoRNA expression in 7 solitary CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. We found that global dysregulated miRNAs and snoRNAs between cancer tissue and normal mucosa in solitary CRC. Our findings firstly implicates that dysregulation of snoRNAs and miRNA may play important role in the cancinogenesis and present therapeutic targets for solitary CRC. Examination of microRNA and snoRNA expression in cancer and matched normal tissues of solitary CRC
Project description:We evaluated the profile of miRNA and snoRNA expression in 5 synchronous CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. A total of 24 miRNA differential expressed transcripts which represent 27 mature miRNAs, including an oncogenic miR-17-92a and oncosuppressive miR-143-145 cluster, and a global up-regulation of snoRNAs were revealed in cancer tissues compared with matched normal tissues. Global miRNA expression could distinguish synchronous cancer from normal mucosa. Our findings represent the first comprehensive miRNA and snoRNA expression signatures for synchronous CRC, which increase the understanding of the molecular basis of synchronous CRC, and firstly implicate that dysregulation of snoRNAs and miRNA clusters may present therapeutic targets for synchronous CRC. Examination of microRNA and snoRNA expression in synchronous CRC and matched normal colorectal tissues
Project description:Analysis of gene expression profiles of three cancer-associated fibroblasts (CAFs) and four normal fibroblasts (NFs), which are derived from tumor tissues and adjacent normal mucosa of colorectal cancer patients, respectively.
Project description:We used microarrays to determine global gene expression in primary tumor tissues (ESCC) and matched normal tissues (adjacent normal esophageal mucosa) Paired primary ESCC tumor and normal tissues were compared (n=5).
