Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA193492 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide methylation and expression analysis of two breast cancer cell lines
| PRJNA193491 | ENA
Project description:Genome-wide methylation and expression analysis of two breast cancer cell lines [Methyl-MAPS]
| PRJNA193493 | ENA
Project description:Genome-Wide Methylation Analysis of Breast Cancer Cell Lines
| PRJNA183911 | ENA
Project description:DNA methylation analysis of breast cancer cell-lines
| PRJNA214937 | ENA
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). DNA Methylation was assayed for two breast cancer cell lines using Methyl-MAPS.
2013-06-15 | E-GEOD-45336 | biostudies-arrayexpress
Project description:Genome-wide DNA methylation analysis of breast cancer
| PRJNA302431 | ENA
Project description:We used microarrays to detail the global programme of gene expression for MCF-7 and MDA-MB-231 and revealed the correlation between the methylation state of various genomic components and gene expression level. The expression analyses of the two breast cancer cell lines are a part of the whole study. The summary of our study is as follows: We establish a technique, called modified methylation-specific digital karyotyping (MMSDK) based on methylation-specific digital karyotyping (MSDK) with a novel sequencing approach. Briefly, after a tandem digestion of genomic DNA with a methylation-sensitive mapping enzyme and a fragmenting enzyme, short sequence tags are obtained. These tags are amplified, followed by direct, massively parallel sequencing (Solexa 1G Genome Analyzer). This method allows high-throughput and low-cost genome-wide DNA methylation mapping. We applied this method to investigate global DNA methylation profiles for widely used breast cancer cell lines, MCF-7 and MDA-MB-231, which are representatives for luminal-like and mesenchymal-like cancer types, respectively. By comparison, a highly similar overall DNA methylation pattern was revealed for the two cell lines. However a cohort of individual genomic loci with significantly different DNA methylation profile between two cell lines was identified. Furthermore, we revealed a genome-wide significant correlation between gene expression and the methylation status of gene promoters with CpG islands (CGIs) in the two cancer cell lines, and a correlation of gene expression and the methylation status of promoters without CGIs in MCF-7 cells. Experiment Overall Design: Breast cancer cell lines, MCF-7 and MDA-MB-231, were selected for the study of the impact of DNA methylation on gene expression regulation. Total RNA extraction was performed for both cell lines and hybridization was carried out using Affymetrix microarrays. We developed a modified methylation-specific digital karyotyping (MSDK) to obtain DNA methylation profiling genome wide. Then, we combined the analysis of DNA methylation data and gene expression data to reveal a correlation between epigenetic and transcriptional features genome wide.
2008-10-21 | E-GEOD-12199 | biostudies-arrayexpress
Project description:RNA-seq in two ER+ breast cancer cell lines with and without progestins
| PRJNA282505 | ENA
Project description:Genome-wide location analysis in breast cancer cell-lines
| PRJNA197196 | ENA
Project description:To understand transcriptome and epigenome profilings alteration during breast cancer initiation and development, we constructed a in vitro breast cancer transformation model. And then, we use mRNA-Seq to uncover differential expression genes during breast cancer transformation process. For epigenomic profilings, we specificly analysis genome wide H3K9me2, H3K9me3,H3K4me3 and H3K27me3 modifications using ChIP-Seq. We found that H3K9 di and tri methylation decrease both in vitro breast cancer cell transformation model and in vivo clinical samples. Further more, we found KDM3A, a demethylase for H3K9 mono and di methylation, increase during the breast cancer model transformation process and clinical samples. KDM3A deficiency impairs the growth of those transformed cell lines and its overexpression promotes tumor formation.
2016-04-08 | GSE64367 | GEO