Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Application of the Illumina MethylationEPIC on small amount of fragmentized HCT116 genomic DNA

ABSTRACT: Cell-free DNA is generally in fragments around 200 bp. Genomic DNA from HCT116 cell is sonicated to around 200 bp to mimic cell-free DNA. This is a control assay to test the sensitivity of Infinium methylationEPIC array for low amount of fragmentized DNA.

ORGANISM(S): Homo sapiens

PROVIDER: GSE211508 | GEO | 2022/08/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Application of the Illumina MethylationEPIC on small amount of fragmentized HCT116 genomic DNA

Project description:Application of the Illumina MethylationEPIC on small amount of fragmentized HCT116 genomic DNA

| PRJNA870576 | ENA

Pull-down affinity purifications using di-nucleosomes decorated with enhancer-associated modifications and incorporating 200bp linker DNA

2023-12-12 | PXD041443 | Pride

Dissecting the effect of a long linker DNA on protein binding to di-nucleosomes decorated with promoter-associated PTMs

Project description:Characteristic features of chromatin states are not limited to particular epigenetic modifications but include other regulatory cues, such as linker DNA length, typically ranging from around 35-55 bp in most eu- and heterochromatin domains (Valouev et al, 2011; Voong et al., 2016, Cell) to over 200 bp in nucleosome-depleted regions (NDRs) found at active enhancers and promoters (Schones et al, 2008; Hansen He et al, 2010). To investigate whether and how the nucleosome linker DNA affects chromatin recognition by nuclear proteins we performed a set of affinity purifications using di-nucleosomes incorporating different DNA linkers. Here, we investigated the effect of a 200 bp di-nucleosome linker DNA represented by scrambled DNA or SV40 promoter DNA sequence on the nuclear protein binding to di-nucleosome decorated with promoter-associated modifications, including H3K4me3K9acK14acK18acK23acK27ac, H4K5acK8acK12acK16acK20me2 and histone variant H2A.Z Below is a description (modifications and linker) of di-nucleosomes used in pull-downs with HeLa nuclear extracts followed by label-free MS: 1. H3K4me3-5ac,H4K20me2-4ac, H2AZ, 50bp linker 2. H3K4me3-5ac,H4K20me2-4ac, H2AZ, 200bp scrambled DNA linker 3. H3K4me3-5ac,H4K20me2-4ac, H2AZ, 200bp SV40 promoter DNA linker 4. Unmod. H3&H4, 50bp linker 5. Unmod. H3&H4, 200bp scrambled DNA linker 6. Unmod. H3&H4, 200bp SV40 promoter DNA linker

2023-12-10 | PXD041835 | Pride

Examining the effect of the linker DNA length on protein binding to di-nucleosomes decorated with H3K9me3 and H3K27me3

Project description:Characteristic features of chromatin states are not limited to particular epigenetic modifications but include other regulatory cues, such as linker DNA length, typically ranging from between 35-55 bp (Valouev et al, 2011; Voong et al., 2016, Cell) to over 200 bp in nucleosome-depleted regions (NDRs) found at active enhancers and promoters (Schones et al, 2008; Hansen He et al, 2010). To investigate whether and how the nucleosome linker DNA affects chromatin recognition by nuclear proteins we performed a set of affinity purifications using di-nucleosomes incorporating different DNA linkers. This dataset contains experiments aimed to probe how the linker DNA length affects protein binding to di-nucleosomes decorated with H3K9me3 or H3K27me3. The following di-nucleosomes were used in affinity pull-down purifications with HeLa nuclear extract followed by label-free MS: 1. unmod. H3, 35 bp linker 2. unmod. H3, 40 bp linker 3. unmod. H3, 45 bp linker 4. unmod. H3, 50 bp linker 5. unmod. H3, 55 bp linker 6. H3K9me3, 35 bp linker 7. H3K9me3, 40 bp linker 8. H3K9me3, 45 bp linker 9. H3K9me3 50 bp linker 10. H3K9me3, 55 bp linker 11. H3K27me3, 35 bp linker 12. H3K27me3, 40 bp linker 13. H3K27me3, 45 bp linker 14. H3K27me3, 50 bp linker 15. H3K27me3, 55 bp linker

2023-12-10 | PXD042368 | Pride

Chordoma and osteosarcoma cell lines Illumina Infinium MethylationEPIC array

Project description:We report the DNA methylation profile of 4 chordoma cell lines (UCH1, UCH7, UM-Chor and MUG-Chor) and 1 ostesarcoma cell line (U2OS) using Illumina Infinium MethylationEPIC array

2020-02-13 | GSE139410 | GEO

Methylation arrays (MethylationEPIC) of peripheral blood of individuals with evolving dementia

Project description:DNA methylation changes have been associated to dementia and cognitive decline. However, it is not clear if these changes arise before or during the onset of the pathologies. Here, using Illumina's MethylationEPIC array technology, we have profiled the methylomes of elderly, cognitively healthy individuals which go on to develop dementia or stay cognitively healthy. The subjects are profiled at a pre-diagnosis stage and at 4 year follow-up post-diagnosis.

2022-04-25 | E-MTAB-10600 | biostudies-arrayexpress

Illumina Infinium MethylationEPIC BeadChip (850k) analysis of growing teratoma tissues

Project description:Illumina Infinium MethylationEPIC BeadChip (850k) array analysis of DNA methylation of 12 different growing teratoma tissues. Samples were subgrouped based on growth speed into GTSslow to GTSrapid (see corresponding publication).

2024-04-28 | GSE240091 | GEO

Methylation arrays (MethylationEPIC) of peripheral whole blood samples from adults aged between 19-96 years

Project description:Epigenetic remodeling is central to understanding the molecular mechanisms that occur and drive human aging. In fact, DNA methylation clocks are capable of estimating biological age, which determines human lifespan and healthspan. Here, using Illumina's MethylationEPIC array technology, we have profiled the DNA methylation landscape of peripheral whole blood samples from adult individuals ranging in age from 19 to 96 years.

2024-09-29 | E-MTAB-13431 | biostudies-arrayexpress

Comparative high density microarray analysis of global 5hmC patterns in mouse brain and liver following independent affinity based enrichment protocols.

Project description:On mouse tiled microarrays (GPL17802), we profile 5hmC in WT mouse livers and brains following fragment enrichment by one of three affinity based techniques: i- antibody (HmeDIP), ii- Chemical capture (hMeSeal) and iii-JBP-1 protein affinity (JBP). HmeDIP and hMeSeal both return similar patterns of 5hmC whilst JBP enriched patterns (carriedo out on brain only) resemble background noise. 5hmC is largely found to reside in the bodies of active genes as well as being enriched over enhancer and promoter proximal regions. WT C57BL/6 mice aged 30-32 days old at time of organ removal. Tissues taken and frozen in liquid nitrogen prior to DNA extraction. Genomic DNA was sonicated (Bioruptor, Diagenode) to produce DNA fragments ranging in size from 200 to 1,000 bp, with a mean fragment size of around 300 bp. i- HmeDIP: antibody enrichment carried out as previously reported by Thomson et al 2013 (doi:10.1093/nar/gkt232). ii- HmeSeal: Enrichment based on the hMe-Seal based techniques described by Song et al 2010 (doi: 10.1038/nbt.1732) and marketed by Active motif under the name hydroxymethyl-collector kit. iii- JBP-1 affinity purification: Enrichment carried out using the Quest 5hmC DNA enrichment kit marketed by Zymo research.

2013-12-01 | E-GEOD-51577 | biostudies-arrayexpress

Methylation arrays (MethylationEPIC) of whole blood of individuals with type 1 diabetes

Project description:Type 1 diabetes (1a) diabetes is an autoimmune disease in which both environmental and genetic factors play a role. Epigenetic marks such as DNA methylation, being molecular links between the environment and the genome function, are sound candidates for the explanation of part of the aetiology and mechanisms of the disease. Here, the methylomes of the whole blood of 18 adult individuals with T1D were profiled using Illumina's MethylationEPIC array technology.

2020-12-22 | E-MTAB-8694 | 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