Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Regulation network of colorectal cancer specific enhancers in progression of colorectal cancer

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173699 | GEO | 2021/05/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Regulation network of colorectal cancer specific enhancers in progression of colorectal cancer

| PRJNA725520 | ENA

Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer (miRNA)

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

Hi-ChIP dataset for epigenomics landscape of colorectal cancer

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

Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer (gene expression)

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

RNA-seq access dataset for epigenomics landscape of colorectal cancer

2021-05-22 | GSE136630 | GEO

Colorectal cancer

Project description:Colorectal cancer

| PRJNA774637 | ENA

Colorectal cancer

Project description:Colorectal cancer

| PRJNA836954 | ENA

Identification of super-enhancers in colorectal cancer cell lines

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

Identification of differential expressed genes after ELK4 knockdown in colorectal cancer cells

Project description:We have demonstrated that ELK4 promted progression and tumorigenesis in colorectal cancer. In order to elucidate the transcriptional regulation mechanism of ELK4 in colorectal cancer, RNA-seq analysis was performed on ELK4 knockdown and control HCT116 cells.

2023-11-27 | GSE179294 | GEO

ChIP-seq dataset for epigenomics landscape of colorectal cancer

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data