Project description:This SuperSeries is composed of the following subset Series: GSE36204: Epigenomic enhancer profiling defines a signature of colon cancer [ChIP-seq] GSE36400: All exon array expression data in normal colon and primary colon cancer lines [expression] Refer to individual Series
Project description:Cancer is characterized by gene expression aberrations. Studies have largely focused on coding sequences and promoters, despite the fact that distal regulatory elements play a central role in controlling transcription patterns. Here we utilize the histone mark H3K4me1 to analyze gain and loss of enhancer activity genome wide in primary colon cancer lines relative to normal colon crypts. We identified thousands of variant enhancer loci (VELs) that comprise a signature that is robustly predictive of the in vivo colon cancer transcriptome. Furthermore, VELs are enriched in haplotype blocks containing colon cancer genetic risk variants, implicating these genomic regions in colon cancer pathogenesis. We propose that reproducible changes in the epigenome at enhancer elements drive a unique transcriptional program to promote colon carcinogenesis. We used gene expression profiles to assess correlations between the colon cancer epigenome and transcriptional activity. RNA from normal colon epithelial crypt controls and primary colon cancer cell lines was hybridized to Affymetrix All Exon Human ST 1.0 microarrays.
Project description:RNA expression data was generated as part of a colon cancer study. Samples were obtained from patients, including primary colon cancer, polyps, metastases, and matched normal mucosa (obtained from the margins of the resection). The RNA was extracted from tissue samples obtained from resections and hybridized to Affymetrix HG-U133 arrays. RNA expression data was also obtained for a few cell lines. notte-00422 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HG-U133A Organism: Homo sapiens (ncbitax) Material Types: cell, total_RNA, synthetic_RNA, organism_part, whole_organism Disease States: colon cancer, colon polyp, Colon Carcinoma, colon adenocarcinoma, breast cancer, Normal, Prostate Adenocarcinoma
Project description:Cancer is characterized by gene expression aberrations. Studies have largely focused on coding sequences and promoters, despite the fact that distal regulatory elements play a central role in controlling transcription patterns. Here we utilize the histone mark H3K4me1 to analyze gain and loss of enhancer activity genome wide in primary colon cancer lines relative to normal colon crypts. We identified thousands of variant enhancer loci (VELs) that comprise a signature that is robustly predictive of the in vivo colon cancer transcriptome. Furthermore, VELs are enriched in haplotype blocks containing colon cancer genetic risk variants, implicating these genomic regions in colon cancer pathogenesis. We propose that reproducible changes in the epigenome at enhancer elements drive a unique transcriptional program to promote colon carcinogenesis. Examination of 3 histone modifications and global expression data in primary colon cancer cell lines and normal colon crypt controls
Project description:RNA expression data was generated as part of a colon cancer study. Samples were obtained from patients, including primary colon cancer, polyps, metastases, and matched normal mucosa (obtained from the margins of the resection). The RNA was extracted from tissue samples obtained from resections and hybridized to Affymetrix HG-U133 arrays. RNA expression data was also obtained for a few cell lines.
Project description:Genome wide miRNA expression profiling was performed using Affymetric miRNA v. 3.0 Array on 48 samples which included paired FFPE colon tuomor and metastisized liver and paired normal colon, normal liver). The data set was divided into two categories and identified by tissue source and patient demographics: Tissue (Colon, Liver), Source (Colon Tumor Liver Met, Colon Normal, Liver Normal), Sex (Male, Female), Patient Pair. microRNAs (miRs) are frequently dysregulated in colorectal cancer (CRC) and subsets are correlated with advanced tumor stage and metastasis. Despite this, the development of prognostic biomarkers that predict metastatic potential remain limited. Our study was designed to identify, validate, and elucidate underlying biology imposed by a miR signature that defines and predicts metastatic disease. Genome-wide miR expression profiling was performed on fourteen patient-matched stage IV primary CRC tumors and corresponding liver metastases using microRNA array technology. Based on these results, this miR panel was then validated and evaluated in normal colon tissue (N = 5), early stage (I & II, N = 11) and late stage (Stage III & IV, N = 14) colorectal primary tumors via qRT-PCR.