Methylation profiling of ten breast cancer cell lines
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ABSTRACT:
PROVIDER: PRJEB19340 | ENA |
REPOSITORIES: ENA
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Project description:RNASeq of ten human breast cancer cell lines
| PRJEB19339 | ENA
Project description:In order to identify new targets for basal-like breast cancers, we performed Methyl-Seq of 10 breast cancer cell lines. Basal-like cell lines (MDAMB231, MDAMB436, HCC1937, SUM149, SUM1315 and MCF10A) were compared to luminal cell lines (MCF7 and T47D). Moreover we could also study BRCA1 influence on methylome of basal-like breast cancer. 4 of our cell lines are indeed BRCA1 mutated (MDAMB436, HCC1937, SUM149 and SUM1315) and we also developed 2 cell lines that come from the BRCA1 mutated SUM1315 cell line stably transfected with empty LXSN plasmid (SUM1315-LXSN) or with a BRCA1 coding plasmid (SUM1315-BRCA1).
2017-02-14 | E-MTAB-5468 | biostudies-arrayexpress
Project description:To evaluate the methylation profiles of breast cell lines, we performed methylation profiling of 55 well-characterized breast cancer cell lines on the Illumina HumanMethylation27 (HM27) platform and made use of publicly available methylation profiles of primary breast tumors for comparison. The available annotation for each cell line includes estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status, as well as the tumor type, and the age of each patient. Additionally, recent publications have described genome-wide mRNA expression profiles for most of these lines, and samples were classified on the basis of the expression profile into Basal A (BaA), Basal B/Claudin Low (BaB/CLDNlow) and Luminal (Lu) subtypes. Finally, GI50 has been calculated for these cell lines for 77 approved therapeutic agents. We find that the DNA methylation profiles of breast cancer cell lines largely retain the features that characterize primary tumors, although there are crucial differences as well. We assayed DNA methylation in 55 breast cancer cell lines. DNA extracted from breast cell lines was bisulfite treated and hybridized to Illumina HM27 arrays.
2013-03-01 | E-GEOD-42944 | biostudies-arrayexpress
Project description:To evaluate the methylation profiles of breast cell lines, we performed methylation profiling of 55 well-characterized breast cancer cell lines on the Illumina HumanMethylation27 (HM27) platform and made use of publicly available methylation profiles of primary breast tumors for comparison. The available annotation for each cell line includes estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status, as well as the tumor type, and the age of each patient. Additionally, recent publications have described genome-wide mRNA expression profiles for most of these lines, and samples were classified on the basis of the expression profile into Basal A (BaA), Basal B/Claudin Low (BaB/CLDNlow) and Luminal (Lu) subtypes. Finally, GI50 has been calculated for these cell lines for 77 approved therapeutic agents. We find that the DNA methylation profiles of breast cancer cell lines largely retain the features that characterize primary tumors, although there are crucial differences as well.
2013-03-01 | GSE42944 | GEO
Project description:In order to identify new targets for basal-like breast cancers, we performed RNA-Seq of 10 breast cancer cell lines. Basal-like cell lines (MDAMB231, MDAMB436, HCC1937, SUM149, SUM1315 and MCF10A) were compared to luminal cell lines (MCF7 and T47D). Moreover we could also study BRCA1 influence on transcriptome of basal-like breast cancer. 4 of our cell lines are indeed BRCA1 mutated (MDAMB436, HCC1937, SUM149 and SUM1315) and we also developed 2 cell lines that come from the BRCA1 mutated SUM1315 cell line stably transfected with empty LXSN plasmid (SUM1315-LXSN) or with a BRCA1 coding plasmid (SUM1315-BRCA1).
2017-02-14 | E-MTAB-5465 | biostudies-arrayexpress
Project description:We applied a combination of Methyl-CpG Immunoprecipitation (MCIp) and Human CpG Island microarrays to identify aberrant DNA methylation in eight low-grade breast invasive carcinomas and two pre-invasive breast tumors against ten normal breast tissues.
2012-09-14 | GSE35263 | GEO
Project description:Arginine methylation catalyzed by protein arginine methyltransferases (PRMTs) is a prevalent posttranslational modification that regulates diverse cellular processes. Aberrant expression of type I PRMTs that catalyze asymmetric arginine demethylation (ADMA) is often found in cancer; however, little is known about the ADMA status of substrate proteins in tumors. Using LC-MS/MS along with pan-specific ADMA antibodies, we performed global mapping of ADMA in five patient-derived xenograft (PDX) tumors representing different subtypes of human breast cancer and identified 415 methylated peptides from 213 proteins. Approximately 70% of the putative substrates were validated using peptide arrays in vitro methylated by PRMT1, PRMT4, and PRMT6, among which 48% of substrates varied from estrogen receptor (ER) positive and negative tumors. Comparing with our previously identified ADMA sites from breast cancer cell lines, 75 ADMA sites overlapped between cell lines and PDX tumors. Collectively, this study provides a useful resource to PRMT and breast cancer communities to exploit the functions of PRMT dysregulation during breast cancer progression.
2024-01-26 | PXD038203 | Pride
Project description:We applied a combination of Methyl-CpG Immunoprecipitation (MCIp) and Human CpG Island microarrays to identify aberrant DNA methylation in eight low-grade breast invasive carcinomas and two pre-invasive breast tumors against ten normal breast tissues. 10 breast tumor samples (8 invasive, 2 pre-invasive) and 10 normal breast tissues, paired randomly (except Array 10: matched pair)
2012-09-14 | E-GEOD-35263 | biostudies-arrayexpress
Project description:Protein profiling of 18 breast cancer cell lines in triplicates using TMT10-plex.
2020-07-04 | PXD013276 | JPOST Repository
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