Browse
Submit Data
Databases
API
Help

Dataset Information

39 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide methylation and expression analysis of two breast cancer cell lines [RNA-Seq]

ABSTRACT: To improve our understanding of the relationships between methylation and expression we profiled mRNA expression and single-base resolution methylation levels for two breast cancer cell lines, MCF7 and T47D. Expression was profiled using RNA-seq. Methylation was assayed using Methyl-MAPS, which uses methylation-sensitive and -dependent restriction enzyme digests followed by high-throughput sequencing to identify methylation levels at individual CpGs (Edwards et al. 2010, Genome Research). RNA-Seq was used to generate mRNA expression profiles of MCF7 and T47D cells under standard growth conditions.

ORGANISM(S): Homo sapiens

SUBMITTER: Vanderkraats ND

PROVIDER: S-ECPF-GEOD-45335 | biostudies-other | 2013 Aug

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide methylation and expression analysis of two breast cancer cell lines

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

| S-ECPF-GEOD-45337 | biostudies-other

Genome-wide methylation and expression analysis of two breast cancer cell lines [RNA-Seq]

Project description:To improve our understanding of the relationships between methylation and expression we profiled mRNA expression and single-base resolution methylation levels for two breast cancer cell lines, MCF7 and T47D. Expression was profiled using RNA-seq. Methylation was assayed using Methyl-MAPS, which uses methylation-sensitive and -dependent restriction enzyme digests followed by high-throughput sequencing to identify methylation levels at individual CpGs (Edwards et al. 2010, Genome Research).

2013-06-15 | GSE45335 | GEO

Genome-wide methylation and expression analysis of two breast cancer cell lines [RNA-Seq]

2013-06-15 | E-GEOD-45335 | biostudies-arrayexpress

Genome-wide analysis of BRCA1 and PALB2 [ChIP-seq and RNA-seq]

Project description:Breast and ovarian cancer susceptibility genes, BRCA1 and PALB2 have enigmatic roles in cellular growth and mammalian development. While these genes are essential for growth during early developmental programs, inactivation later in adulthood leads to increased growth and formation of tumors, leading to their designation as tumor suppressors. We performed genome-wide analysis assessing their chromatin residence and gene expression responsiveness using high throughput sequencing in breast epithelial cells. These experiments revealed a critical role for BRCA1 and PALB2 in transcriptional responsiveness to NF-kB, a crucial mediator of growth and inflammatory response during development and cancer. Importantly, we also uncovered a vital role for these proteins in response to retinoic acid (RA), a growth inhibitory signal in breast cancer cells, which may constitute the basis for their tumor suppressor activity. Comparison of the genome wide profiles of the BRCA protein complex (BRCA1 and PALB2) and phosphorylated RNAPII (P-Ser2) in MCF10A cells by ChIP-seq. Effect of BRCA1 and PALB2 knockdown (shRNAs) on transcription was assessed by RNA-seq.

| S-ECPF-GEOD-40591 | biostudies-other

Gene expression and genome-wide location analysis of breast cancer cell-lines

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

| S-ECPF-GEOD-46073 | biostudies-other

Genome-wide methylation and expression analysis of two breast cancer cell lines

Project description:This SuperSeries is composed of the SubSeries listed below.

2013-06-15 | GSE45337 | GEO

Genome-wide RNA-seq analysis of human and mouse platelet transcriptomes.

Project description:Inbred mice are a useful tool for studying the in vivo functions of platelets. Nonetheless, the mRNA signature of mouse platelets is not known. Here, we use paired-end next-generation RNA sequencing (RNA-seq) to characterize the polyadenylated transcriptomes of human and mouse platelets. We report that RNA-seq provides unprecedented resolution of mRNAs that are expressed across the entire human and mouse genomes. Transcript expression and abundance are often conserved between the 2 species. Several mRNAs, however, are differentially expressed in human and mouse platelets. Moreover, previously described functional disparities between mouse and human platelets are reflected in differences at the transcript level, including protease activated receptor-1, protease activated receptor-3, platelet activating factor receptor, and factor V. This suggests that RNA-seq is a useful tool for predicting differences in platelet function between mice and humans. Our next-generation sequencing analysis provides new insights into the human and murine platelet transcriptomes. The sequencing dataset will be useful in the design of mouse models of hemostasis and a catalyst for discovery of new functions of platelets. Access to the dataset is found in the "Introduction."

| S-EPMC3193274 | biostudies-other

Genome-Wide Analysis of Somatic Copy Number Alterations and Gene Expression in Metastatic Melanoma: RNA-Seq

Project description:All cancers are diseases of the genome. A combination of somatic point mutations, focal amplifications and deletions, and chromosome level aberrations conspire to disrupt gene expression and the interplay between signaling pathways that control normal growth and tissue homeostasis. Here we investigate transcript levels in 7 melanomas and a pool of melanocytes. The transcriptome from 7 cutaneous melanomas and a pool of 2 normal melanocyte cultures was sequenced using the 454 technology

| S-ECPF-GEOD-22932 | biostudies-other

Genome-wide methylation and expression analysis of two breast cancer cell lines

Project description:Genome-wide methylation and expression analysis of two breast cancer cell lines

| PRJNA193491 | ENA

Genome-wide DNA methylation analysis of breast cancer MCF-7 / Taxol cells with MeDIP-Seq.

Project description:Breast cancer (BC) is the most frequently diagnosed tumor in women worldwide. Although the combination of surgery and Taxol chemotherapy can achieve a certain therapeutic effect, patients often develop drug-resistance, resulting in a poor prognosis. Therefore, it is significative to seek the molecular mechanism of chemotherapy resistance. Recent studies have found that abnormal epigenetic regulation in breast cells changes the expression of key genes, which can lead to the occurrence, development, and maintenance of cancer, even related to the development of drug-resistance. Therefore, in this study, we performed methylated DNA immunoprecipitation-sequencing (MeDIP-seq) to reveal the difference in methylation between breast cancer drug-resistant cells and sensitive cells. A total of 55076 differentially methylated genes (DMGs) were detected, including 21061 hypermethylated DMGs and 34015 hypomethylated DMGs. Moreover, Gene Ontology (GO) analysis and KEGG pathway analysis reveal the function and pathway of screening genes. These results indicate that DNA methylation may be involved in regulating the occurrence and development of breast cancer.

| S-EPMC7732127 | biostudies-literature

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