Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation profiling of prostate cancer cells exposed to daily DNA damage

ABSTRACT: Illumina Infinium MethylationEPIC BeadChip profiling of 22Rv1 prostate cancer cell line either untreated, 6 weeks in culture (age matched) or treated daily for 6 weeks with 1 microgram per ml phleomycin to induce DNA damage (n=2 per sample).

ORGANISM(S): Homo sapiens

PROVIDER: GSE208189 | GEO | 2022/07/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-seq profiling of 22Rv1 prostate cancer cells exposed to repeated DNA damage for 6 weeks.

Project description:RNA-seq profiling of 22Rv1 prostate cancer cell line either untreated, 6 weeks in culture (age matched) or treated daily for 6 weeks with 1 microgram per ml phleomycin to induce DNA damage (n=3 per sample).

2022-07-18 | GSE208190 | GEO

Multi omics analysis of adaptation to repeated DNA damage in prostate cancer cells.

Project description:DNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges facing cancer patients and their treating clinicians. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic model of prostate cancer exhibiting more aggressive characteristics to better understand the molecular signatures associated with resistance and metastasis. 22Rv1 cells were repeatedly exposed to DNA damage daily for 6 weeks, similar to patient treatment regimes. Using Illumina MethylationEPIC arrays and RNA-seq, we compared the DNA methylation and transcriptional profiles between the parental 22Rv1 cell line and the lineage exposed to prolonged DNA damage. Here we show that repeated DNA damage drives the molecular evolution of cancer cells to a more aggressive phenotype and identify molecular candidates behind this process. Total DNA methylation was increased in cells exposed to repeated DNA damage. Further, RNA-seq demonstrated these cells had dysregulated expression of genes involved in metabolism and the unfolded protein response (UPR) with ASNS identified as central to this process. While limited overlap between RNA-seq and DNA methylation was evident, OGDHL was identified as altered in both data sets. Utilising a second approach we profiled the proteome in 22Rv1 cells following a single dose of radiotherapy. This analysis also highlighted the UPR in response to DNA damage. Together, these analyses identified dysregulation of metabolism and the UPR and identified ASNS and OGDHL as candidate genes for resistance to DNA damage. This work provides critical insight into molecular changes which may underpin treatment resistance and metastasis.

2023-04-27 | PXD033400 | Pride

Human pituitary adenomas DNA methylation profiling

Project description:86 samples processed with the Illumina Infinium®MethylationEPIC BeadChip, featuring 850k CpGs.

2020-01-02 | E-MTAB-7762 | biostudies-arrayexpress

DNA methylation analysis of phaeochromocytoma, paraganglioma and normal adrenal medulla samples

Project description:Illumina Infinium MethylationEPIC BeadChip array files from phaeochromocytoma, paraganglioma tumours of different genotypes and normal adrenal medulla control samples. This is the first study using high-resolution MethylationEPIC arrays and also includes a large number of Cluster 1 tumours (n=16) which exhibit extensive epigenetic deregulation.

2023-12-21 | E-MTAB-13433 | biostudies-arrayexpress

DNA Methylation Patterns of Chronic Explosive Breaching in U.S. Military Warfighters

Project description:Epigenetic profiles in peripheral blood samples from 59 subjects (in two separate U.S. Military training sessions) were screened using Illumina Infinium MethylationEPIC BeadChips, session 2 (31 subjects) were also screened post-exposure to a controlled, low-level blast during a 3-day explosive breaching course. Participants had varying numbers of exposures to blast over their military careers (empirically defined as high ≥ 40, and conversely, low < 39 breaching exposures) at baseline. Daily self-reported physiological symptoms were recorded.

2020-08-24 | GSE155426 | GEO

DNA methylation

Project description:CASE AND CONTROL SAMPLES USING Infinium MethylationEPIC

| EGAD00010001805 | EGA

Exercise intervention during pregnancy induces promoter methylation alterations in maternal blood and cord blood

Project description:Maternal blood, as well as umbilical cord blood samples, were collected and DNA methylation levels were determined by Illumina MethylationEPIC microarray. Methods: Twenty-four subjects were chosen from a previous clinical study. Overweight/obese pregnant women (body mass index ≥24kg/m2) who had an uncomplicated pregnancy at <12+6 weeks of gestation were randomly allocated to either an exercise or a control group. Patients allocated to the exercise group performed 3 exercise bouts per week (at least 30 min/session with a rating of perceived exertion between 12-14) via a cycling program that was initiated within 3 days of randomization until 37 weeks of gestation. Patients allocated to the control group continued their usual daily activities. Maternal blood, as well as umbilical cord blood samples, were collected and DNA methylation levels were determined by Illumina MethylationEPIC microarray.

2024-04-16 | GSE172208 | GEO

Genome-wide DNA methylation status of scirrhous CAF, non-scirrhous CAF, and GIST fibroblast

Project description:Genome-wide DNA methylation was analyzed using the Infinium Human MethylationEPIC BeadChip.

2022-03-01 | GSE194259 | GEO

DNA Methylation Signatures in Blood DNA of Hutchinson Gilford Progeria Syndrome

Project description:Genome wide DNA methylation profiling of 12 control and 15 progeroid laminopahties samples. The Infinium MethylationEPIC Kit was used to measure DNA methylation across approximately 868,564 CpG sites.

2022-02-15 | GSE182991 | GEO

Analysis of DNA methylation-based tumor immune microenvironment patterns in metastatic melanoma

Project description:We subjected 196 melanoma tumors to genome-wide methylation analysis using the Illumina Infinium MethylationEPIC BeadChip array.

2020-03-25 | GSE144487 | 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