Ontology highlight
ABSTRACT:
PROVIDER: PRJNA725520 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14335548_1.fastq.gz | Fastqsanger.gz | |||
| SRR14335548_2.fastq.gz | Fastqsanger.gz | |||
| SRR14335549_1.fastq.gz | Fastqsanger.gz | |||
| SRR14335549_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
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:microRNA profile of TNM-specific sequence design and integrated network-based bioinformatic analysis in 20 Colorectal cancer patients(n=5 for each TNM stage) are carried out to find the dynamic miRNA expression pattern specific to TNM stage. Gene microrray experiment of the same samples were also performed. Two different platform of microarray data were analyzed together to uncover the potential biomarker for progression of colorectal cancer.
2015-09-30 | GSE41012 | GEO
Project description:Enhancer aberrations are beginning to emerge as a key feature of colorectal cancers, however, we have limited understanding of epigenomic patterns that distinguish tumors and underlying heterogeneity between tumors. Here, using epigenomic profiling of colorectal tumors, adenomas and normal colon tissues, we identify unique pattern of regulatory elements in colorectal cancer, which could reliably distinguish tumors from normal colon specimens. We define shared and unique enhancer elements during colorectal cancer progression using normal adjacent colon, adenomas and adenocarcinomas. We validate the functional nature of tumor-specific enhancers for important oncogenes such as ASCL2 and Fzd10. NMF clustering identified 4 epigenetic (EPIC) subtypes in colorectal cancer, which mimics consensus molecular subtypes (CMS)1, with an advantage of introducing a novel epigenetically-identifiable subtype with poor prognosis and survival. Based on this correlation, we defined and validated a combination therapeutic strategy of enhancer-blocking BETi with pathway specific inhibitor for 3 CMS subtypes. In conclusion, by comprehensive characterization of chromatin state patterns in colorectal tumors, we define epigenomic patterns during tumor evolution, heterogeneity of enhancers among patients and a combination therapy strategy for CMS-subgroups.
2021-05-22 | GSE136629 | GEO
Project description:Global gene profile of TNM-specific sequence design and integrated network-based bioinformatic analysis in 20 Colorectal cancer patients(n=5 for each TNM stage) are carried out to find the dynamic gene expression pattern specific to TNM stage. microRNA microrray experiment of the same samples were also performed. Two different platform of microarray data were analyzed together to uncover the potential biomarker for progression of colorectal cancer.
2015-09-30 | GSE41011 | GEO
Project description:High-fat diet and obesity are high risk factors for colorectal cancer. The underlying mechanism is still unclear. Environmental factors alter the epigenome to affect gene expression thus the phenotype. In response to external stimuli, the cis-regulatory regions, especially enhancer loci, are key elements for regulating selective gene expression. We thus explored the effects of high-fat diet and the accompanying obesity on gene expression and the enhancer landscape in colon epithelium. High-fat diet exposed binding sites of transcription factors downstream of signaling pathways important in the initiation and progression of colon cancer. Meantime, colon specific enhancers were lost rendering the cells potential for dedifferentiation. The alteration at enhancer regions drives a specific transcription program promoting colon cancer progression. The comprehensive interrogation of enhancer changes by high-fat diet in colon epithelium provides a number of insights into the underlying biology of high-fat diet and obesity in increasing colon cancer risk, and provides potential therapeutic targets to treat obese colon cancer patients. ChIP sequencing of active enhancer mark h3k27ac in colon epithelium from wild type mice and NAG-1 transgenic mice treated with either low-fat diet or high-fat diet. The gene expression component of the study is included in GSE46843.
2014-01-16 | E-GEOD-46748 | 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:Enhancer aberrations are beginning to emerge as a key feature of colorectal cancers, however, we have limited understanding of epigenomic patterns that distinguish tumors and underlying heterogeneity between tumors. Here, using epigenomic profiling of colorectal tumors, adenomas and normal colon tissues, we identify unique pattern of regulatory elements in colorectal cancer, which could reliably distinguish tumors from normal colon specimens. We define shared and unique enhancer elements during colorectal cancer progression using normal adjacent colon, adenomas and adenocarcinomas. We validate the functional nature of tumor-specific enhancers for important oncogenes such as ASCL2 and Fzd10. NMF clustering identified 4 epigenetic (EPIC) subtypes in colorectal cancer, which mimics consensus molecular subtypes (CMS)1, with an advantage of introducing a novel epigenetically-identifiable subtype with poor prognosis and survival. Based on this correlation, we defined and validated a combination therapeutic strategy of enhancer-blocking BETi with pathway specific inhibitor for 3 CMS subtypes. In conclusion, by comprehensive characterization of chromatin state patterns in colorectal tumors, we define epigenomic patterns during tumor evolution, heterogeneity of enhancers among patients and a combination therapy strategy for CMS-subgroups.
2021-05-22 | GSE136630 | GEO
Project description:Cancer cells exhibit rewired transcriptional regulatory networks that promote tumor growth and survival. However, the processes that configure these pathological networks remain poorly understood. Through a pan-cancer epigenomic analysis, we found that primate-specific endogenous retroviruses (ERVs) are an abundant source of enhancers that mediate transcriptional dysregulation in cancer. In colorectal cancer and other epithelial tumors, AP1 signaling drives aberrant activation of enhancers derived from the primate-specific ERV family LTR10. CRISPR studies revealed that LTR10 elements control colorectal cancer-specific gene expression at multiple loci associated with tumorigenesis. Within the human population, individual LTR10 elements show extensive structural variation due to repeat instability of an internal variable number tandem repeat (VNTR) region that affects AP1 binding. Our findings reveal that ERV-derived enhancers link oncogenic signaling to transcriptional dysregulation and shape the evolution of cancer-specific regulatory networks.
2021-10-31 | GSE186608 | GEO
Project description:Cancer cells utilize genetic and epigenetic aberrations for their excessive growth. Although we have sufficient understanding of the genomic alterations in colorectal cancer, we have incomplete knowledge of epigenomic aberrations and their impact on tumor growth. In order to comprehensively define the epigenetic patterns specific to colorectal cancer, we generated profiles for 6 histone modification marks, including H3K4me1 (enhancer), H3K27Ac (active enhancer), H3K9me3 (heterochromatin), H3K27me3 (polycomb repression), H3K79me2 (transcription) and H3K4me3 (promoter), using a high-throughput ChIP-Seq methodology developed in house applicable to frozen tumors. Chromatin state transitions specifically pointed to drastic changes in enhancer patterns, consistent with some prior studies. Furthermore, we identified the best combinatorial chromatin states that could most efficiently distinguish and predict CRC from normal colon. In a more detailed investigation into patterns of active enhancers using normal colon, adenomas and colorectal cancers, we identified specific changes in enhancers from normal tissue to these neoplastic lesions. Importantly, we noted gains of enhancers in a large number of genomic loci in colon cancer compared to adjacent normal tissues. In summary, we have identified aberrant enhancer gains as a major feature of colorectal cancer and propose this to be utilized as a therapeutic approach.
2021-05-22 | GSE136888 | GEO