Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ChIP-seq for ARID1A in HCT116 cells

ABSTRACT: This study identifies binding sites for the chromatin remodeller subunit ARID1A in the HCT116 colorectal cancer cell line.

INSTRUMENT(S): Illumina HiSeq 4000

ORGANISM(S): Homo sapiens

SUBMITTER: Steven Johnsen

PROVIDER: E-MTAB-7792 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

ARID1A facilitates KRAS signaling-regulated enhancer activity in an AP1-dependent manner in colorectal cancer cells.

Sen Madhobi M Wang Xin X Hamdan Feda H FH Rapp Jacobe J Eggert Jessica J Kosinsky Robyn Laura RL Wegwitz Florian F Kutschat Ana Patricia AP Younesi Fereshteh S FS Gaedcke Jochen J Grade Marian M Hessmann Elisabeth E Papantonis Argyris A Strӧbel Philipp P Johnsen Steven A SA

Clinical epigenetics 20190619 1

<h4>Background</h4>ARID1A (AT-rich interactive domain-containing protein 1A) is a subunit of the BAF chromatin remodeling complex and plays roles in transcriptional regulation and DNA damage response. Mutations in ARID1A that lead to inactivation or loss of expression are frequent and widespread across many cancer types including colorectal cancer (CRC). A tumor suppressor role of ARID1A has been established in a number of tumor types including CRC where the genetic inactivation of Arid1a alone ...[more]

PMID: 31217031

Similar Datasets

mRNA-seq for HCT116 Parental and ARID1A knockdown cells, mRNA-seq for DLD1 Parental, ARID1A knockdown and ARID1A knockout cells, mRNA-seq for COLO320DM Parental and ARID1A knockdown and ARID1A knockout cells

Project description:The study identifies genes that are regulated by the loss of the chromatin remodeller subunit ARID1A in colorectal cancer cell lines. This gene is frequently mutated in colorectal cancer.

2019-06-11 | E-MTAB-7791 | biostudies-arrayexpress

The MLL3/MLL4 branch of the COMPASS family regulates H3K4 monomethylation at enhancers

Project description:Histone H3 lysine 4 (H3K4) can be mono-, di-, and trimethylated by members of the COMPASS (COMplex of Proteins ASsociated with Set1) family from yeast to human and these modifications can be found at distinct regions of the genome. Monomethylation of histone H3K4 (H3K4me1) is relatively more enriched at metazoan enhancer regions compared to trimethylated histone H3K4 (H3K4me3), which are found at transcription start sites in all eukaryotes. Our recent studies in Drosophila demonstrated that the Trithorax-related (Trr) branch of the COMPASS family regulates enhancer activity and is responsible for the implementation of H3K4me1 at these regions. There are six COMPASS family members in mammals, two of which, MLL3 and MLL4, are most closely related to Drosophila Trr. Here, we use ChIP-seq of this class of COMPASS family members in both human HCT116 cells and mouse embryonic stem cells and find that MLL4 is preferentially found at enhancer regions. MLL3 and MLL4 are frequently mutated in cancer, and indeed, the widely used HCT116 cancer cell line contains inactivating mutations in the MLL3 gene. Using HCT116 cells in which MLL4 has also been knocked out, we demonstrate that MLL4 is a major regulator of H3K4me1 in these cells, with the greatest loss of monomethylation at enhancer regions. Moreover, we found a redundant role between Mll3 and Mll4 in enhancer H3K4 monomethylation in mouse embryonic fibroblast (MEF) cells. These findings suggest that mammalian MLL3/MLL4 function in the regulation of enhancer activity and enhancer-promoter communication during gene expression and that mutations of MLL3 and MLL4 found in cancer could exert their properties through enhancer malfunction. ChIP-Seq in mouse embryonic stem (mES) cells for MLL4. ChIP-seq of MLL4 and p300 in human parental HCT116 cells. ChIP-seq of H3K4me1, H3K4me2 and H3K4me3 in parental HCT116 cells and HCT116 cells with Mll4∆set.

2013-09-30 | E-GEOD-51176 | biostudies-arrayexpress

5-hydroxymethylcytosine marks promoters in colon that resist hypermethylation in cancer

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-02-03 | E-GEOD-47592 | biostudies-arrayexpress

Relationship between gene body DNA methylation and intragenic H3K9me3 and H3K36me3 chromatin marks

Project description:Analysis of cross talk of epigenetic marks in HBEC by using tilling arrays chr19. In Human Bronchial epithelia cells (HBEC), H3K9me3, H4K20me3, H3K4me3, H3K27me3, H3K36me3 and DNA methylation were profiled. In these cells, DNA methylation status was analyzed by MIRA and UnmethylCollector (UMC). Study of epigenetic changes in HCT116 DNMT1-/- and DNMT3b -/- (HCT116-DKO) in comparison to intact HCT116. In HCT116 and HCT116-DKO, H3K9me3, H3K36me3 and DNA methylation were profiled. In these cells, DNA methylation status was analyzed by MIRA. Analysis of epigenetic changes caused by siRNA for SED2 transcript in HBEC. In HBEC and SETD2 siRNA HBEC, H3K36me3 and DNA methylation were profiled. In these cells, DNA methylation status was analyzed by MIRA. Comapre DNA methylation and other histone modification marks

2011-03-31 | E-GEOD-26040 | biostudies-arrayexpress

PHD finger recognition of unmodified histone H3R2 links UHRF1 to regulation of euchromatic gene expression

Project description:Histone methylation occurs on both lysine and arginine residues and its dynamic regulation plays a critical role in chromatin biology. Here we identify the UHRF1 PHD domain (PHDUHRF1), an important regulator of DNA CpG methylation, as an unanticipated histone H3 unmodified arginine 2 (H3R2)-recognition modality. This conclusion is based on binding studies and co-crystal structures of the PHDUHRF1 bound to histone H3 peptides, where the guanidinium group of unmodified R2 forms an extensive intermolecular hydrogen bond network, with methylation of H3R2, but not H3K4 or H3K9, disrupting complex formation. We have identified direct target genes of UHRF1 from microarray and ChIP studies. Importantly, we show that UHRF1’s ability to repress its direct target gene expression is dependent on PHDUHRF1 binding to unmodified H3R2, thereby demonstrating the functional importance of this recognition event and supporting the potential for crosstalk between histone arginine methylation and UHRF1 function. UHRF1 protein was depleted in HCT116 cells by shRNA treatment. Total RNA was purified and used to determine the global gene transcription profiles by microarray assays. The UHRF1-regulated genes were identified by comparing the gene expression profiles of control and UHRF1-depleted HCT116 cells.

2011-07-07 | E-GEOD-30478 | biostudies-arrayexpress

RNA-seq of HCT116 KRAS G13D and HCT116 KRAS WT cell lines with control or CFIm25 knockdown

Project description:Sequencing was performed to obtain gene expression profiles and process through pipeline for identifying alternative polyadenylation (APA) events.

2021-09-04 | E-MTAB-9207 | biostudies-arrayexpress

5-hydroxymethylcytosine marks promoters in colon that resist hypermethylation in cancer [Methylation450 Array]

Project description:The discovery of cytosine hydroxymethylation (5-hmC) as a mechanism that potentially controls DNA methylation changes typical of neoplasia prompted us to investigate its behavior in colon cancer. 5-hmC is globally reduced in proliferating cells such as colon tumors and the gut crypt progenitors, from which tumors can arise. Here, we show that colorectal tumors and cancer cells express Ten-Eleven Translocation (TET) transcripts at levels similar to normal tissues. Genome-wide analyses show that promoters marked by 5-hmC in normal tissue, and those identified as TET2 targets in colorectal cancer cells, are resistant to methylation gain in cancer. In vitro studies of TET2 in cancer cells confirm that these promoters are resistant to methylation gain independently of sustained TET2 expression. We also find that a considerable number of the methylation gain-resistant promoters marked by 5-hmC in normal colon overlap with those that are marked with poised bivalent histone modifications in embryonic stem cells. Together our results indicate that promoters that acquire 5-hmC upon normal colon differentiation are innately resistant to neoplastic hypermethylation by mechanisms that do not require high levels of 5-hmC in tumors. Our study highlights the potential of cytosine modifications as biomarkers of cancerous cell proliferation. Six samples were analyzed. 2 biological replicates each of HCT116 cells stably transfected with an empty vector control (TET_KD_Plk), with shRNA to TET2 (TET_KD_2C) and with shRNA to TET2 and TET3 (TET_KD_2.3)

2015-02-03 | E-GEOD-63421 | biostudies-arrayexpress

Epigenetic portraits of human breast cancers (HCT116 cell line data)

Project description:Breast cancer is a molecularly, biologically and clinically heterogeneous group of disorders. Understanding this diversity is essential to improving diagnosis and optimising treatment. Both genetic and acquired epigenetic abnormalities participate in cancer, but information is scant on the involvement of the epigenome in breast cancer and its contribution to the complexity of the disease. Here we used the Infinium Methylation Platform to profile at single-CpG resolution (over 14,000 genes interrogated) the methylomes of 119 breast tumours. It emerges that many genes whose expression is linked to the ER status are epigenetically controlled (or/ we show that the two major phenotypes of breast cancers determined by ER status are widely involving epigenetic regulatory mechanisms), offering the prospect of a novel approach to treating ER-positive tumours. We have distinguished methylation-profile-based tumour clusters, some coinciding with known “expression subtypes” but also new entities that may provide a meaningful basis for refining breast tumour typology. We show that methylation patterns may reflect the cellular origins of tumours. Having highlighted an unexpectedly strong epigenetic component in the regulation of key immune pathways, we show that a set of immune genes have high prognostic value in specific tumour categories. By laying the ground for better understanding of breast cancer heterogeneity and improved tumour taxonomy, the precise epigenetic portraits drawn here should contribute to better management of breast cancer patients. 6 methylation profiling of HCT116 cell lines. Study of epigenetic variation (methylation) linked to gene expression. No replicate, no reference sample.

2011-10-18 | E-GEOD-20868 | biostudies-arrayexpress

Small RNA mediated DNA (cytosine-5) methyltransferase 1 inhibition leads to aberrant DNA methylation

Project description:Mammalian cells contain copious amounts of RNA including both coding and non-coding RNA (ncRNA). Generally the ncRNAs function to regulate gene expression at the transcriptional and post-transcriptional level. Among ncRNA, the long ncRNA and small ncRNA can affect histone modification, DNA methylation targeting and gene silencing. Here we show that endogenous DNA methyltransferase 1 (DNMT1) co-purifies with inhibitory ncRNAs. MicroRNAs (miRNAs) binds directly to DNMT1 with high affinity. The binding of miRNAs, such as miR-155, leads to inhibition of DNMT1 enzyme activity. Exogenous miR-155 in cells induces aberrant DNA methylation of the genome, resulting in hypomethylation of low to moderately methylated regions. And small shift of hypermethylation of previously hypomethylated region was also observed. Furthermore, hypomethylation led to activation of genes. Based on these observations, we propose that overexpression of specific miRNAs in human cancer may lead to aberrant DNA methylation and altered gene-expression. Examine of the DNA methylation and mRNA profile of HCT 116 cells transfected by random 23-mer or miR-155 RNA

2015-04-21 | E-GEOD-68027 | biostudies-arrayexpress

Control of 5mC and 5hmC by TET dioxygenases in human embryonic carcinoma cells [MBD-Seq]

Project description:The TET family of dioxygenases catalyze conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC), but their involvement in establishing normal 5mC patterns during mammalian development and their contributions to aberrant control of 5mC during cellular transformation remains largely unknown. We depleted TET1, TET2, and TET3 by siRNA in a pluripotent embryonic carcinoma cell model and examined the impact on genome-wide 5mC and 5hmC patterns. TET1 depletion yielded widespread reduction of 5hmC, while depletion of TET2 and TET3 reduced 5hmC at a subset of TET1 targets suggesting functional co-dependence. TET2 or TET3-depletion also caused increased 5hmC, suggesting they play a major role in 5hmC removal. All TETs prevent hypermethylation throughout the genome, a finding dramatically illustrated in CpG island shores, where TET depletion resulted in prolific hypermethylation. Surprisingly, TETs also promote methylation, as hypomethylation was associated with 5hmC reduction. TET function was highly specific to chromatin environment: 5hmC maintenance by all TETs occurred at polycomb-marked chromatin and genes expressed at moderate levels; 5hmC removal by TET2 is associated with highly transcribed genes enriched for H3K4me3 and H3K36me3. Importantly, genes prone to hypermethylation in cancer become depleted of 5hmC with TET deficiency, suggesting the TETs normally promote 5hmC at these loci, and all three TETs are required for 5hmC enrichment at enhancers, a condition necessary for expression of adjacent genes. These results provide novel insight into the division of labor among TET proteins and reveal an important connection of TET activity with chromatin landscape and gene expression. Methylation and hydroxymethylation profiling by affinity-based high throughput sequencing

2014-06-14 | E-GEOD-51902 | biostudies-arrayexpress

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