BarcUVa-Seq (Biology of Colorectal Cancer Risk Enhancers)
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ABSTRACT:
PROVIDER: PRJNA990940 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:BarcUVa-Seq (Biology of Colorectal Cancer Risk Enhancers)
| PRJNA990941 | ENA
Project description:Enhancers regulate multiple genes through higher-order chromatin structure and further affect cancer progression. Epigenetic changes in cancer cells activate several cancer specific enhancers that are silenced in normal cells. These cancer specific enhancers are potential therapeutic targets of cancer. However, functions and regulation network of colorectal cancer specific enhancers are still unknown. Here in this study, we profile colorectal cancer specific enhancers and reveal the regulation network of these enhancers by analysis of HiChIP, Hi-C and RNA-seq data. We propose the regulation network of colorectal cancer specific enhancers plays important role in progression of colorectal cancer.
2021-05-03 | GSE173699 | GEO
Project description:Site-specific variation in colorectal cancer (CRC) incidence, biology and prognosis are poorly understood. We sought to determine whether common genetic variants influencing CRC risk might exhibit topographical differences on CRC risk through regional differences in effects on gene expression in the large bowel mucosa. We conducted a site-specific genetic association study (10,630 cases, 31,331 controls) to identify whether established risk variants exert differential effects on risk of proximal, compared to distal CRC. We collected normal colorectal mucosa and blood from 481 subjects and assessed mucosal gene expression using Illumina HumanHT-12v4 arrays in relation to germline genotype. Expression quantitative trait loci (eQTLs) were explored by anatomical location of sampling. Normal colorectal mucosa was analyzed from both CRC patients and healthy controls.
2021-04-29 | GSE161023 | GEO
Project description:To understand the funtion of Colorectal cancer GWAS results, we perform a comprehensive analysis using biofeatures of HCT116 colon cancer cell line and got a list of risk-asscociated SNP. Risk-associated SNP are likely exerting their effects through promoters or enhancer. In order to understand the importance of the genes with risk-associated SNP in their promoters and enhancers' putatively targeted genes, we did a comparison of these genes between HCT116 colon cancer cell and normal colon and try to understand their function Two biological replicates of HCT116 were compared to the data of two normal colon samples already deposited in GEO (GSM1010974 and GSM1010942).
2014-10-01 | E-GEOD-52429 | biostudies-arrayexpress
Project description:H3K27 acetylation statuses were analyzed in four colon cancer cell lines (RKO, Caco2, SW48, and SW620), and colorectal cancer-specific super-enhancers were identified.
2017-05-31 | GSE96069 | GEO
Project description:Genome-wide association studies (GWAS) have identified 19 risk variants associated with colorectal cancer. As most of these risk variants reside outside the coding regions of genes, we conducted cis-expression quantitative trait loci (cis-eQTL) analyses to investigate possible regulatory functions on the expression of neighboring genes. Forty microsatellite stable and CpG island methylator phenotype-negative colorectal tumors and paired adjacent-normal colon tissues were used for genome-wide SNP and gene expression profiling in our cis-eQTL analyses. This submission represents transcriptome component of study.
2012-01-31 | E-GEOD-31737 | biostudies-arrayexpress
Project description:A core task to understand the consequences of non-coding single nucleotide polymorphisms (SNP) is to identify their genotype specific binding of transcription factor (TF). Here, we generate a large-scale TF-SNP interaction map for a selection of 116 colorectal cancer (CRC) risk loci and validated TF binding to 10 putatively functional SNPs. Our data further revealed TF binding complexity adjacent to the 116 risk loci, adding an additional layer of understanding to regulatory networks associated with CRC relevant loci.
2017-02-23 | PXD004435 | Pride
Project description:A core task to understand the consequences of non-coding single nucleotide polymorphisms (SNP) is to identify their genotype specific binding of transcription factor (TF). Here, we generate a large-scale TF-SNP interaction map for a selection of 116 colorectal cancer (CRC) risk loci and validated TF binding to 10 putatively functional SNPs. Our data further revealed TF binding complexity adjacent to the 116 risk loci, adding an additional layer of understanding to regulatory networks associated with CRC relevant loci.
2017-03-30 | MSV000080810 | MassIVE
Project description:To understand the funtion of Colorectal cancer GWAS results, we perform a comprehensive analysis using biofeatures of HCT116 colon cancer cell line and got a list of risk-asscociated SNP. Risk-associated SNP are likely exerting their effects through promoters or enhancer. In order to understand the importance of the genes with risk-associated SNP in their promoters and enhancers' putatively targeted genes, we did a comparison of these genes between HCT116 colon cancer cell and normal colon and try to understand their function
2014-10-01 | GSE52429 | GEO
Project description:Genome-wide association studies (GWAS) have identified 19 risk variants associated with colorectal cancer. As most of these risk variants reside outside the coding regions of genes, we conducted cis-expression quantitative trait loci (cis-eQTL) analyses to investigate possible regulatory functions on the expression of neighboring genes.
2012-01-31 | GSE31737 | GEO