Ontology highlight
ABSTRACT:
PROVIDER: PRJNA140491 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:MicroRNA expression data from human breast cancer cell lines after demethylation treatment.
| PRJNA142859 | ENA
Project description:MRNA expression data from human breast cancer cell lines after demethylation treatment.
| PRJNA142857 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE28968: MRNA expression data from human breast cancer cell lines after demethylation treatment. GSE28969: MicroRNA expression data from human breast cancer cell lines after demethylation treatment. Refer to individual Series
2012-01-24 | E-GEOD-28976 | biostudies-arrayexpress
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:The contribution of aberrant DNA methylation and the downstream effects in tumorogenesis through silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations can be reversed, we investigated the effects of the epigenetic therapy in breast cancer cell lines. We used microarrays to investigate the global microRNA expression profile after demethylation treatment with 5-aza-2’-deoxycytidine (DAC) in breast cancer cell lines and identified distinct classes of early and late systematic stable or transient effects of the treatment.
2012-01-24 | GSE28969 | GEO
Project description:The contribution of aberrant DNA methylation and the downstream effects in tumorogenesis through silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations can be reversed, we investigated the effects of the epigenetic therapy in breast cancer cell lines. We used microarrays to investigate the global gene expression profile after demethylation treatment with 5-aza-2’-deoxycytidine (DAC) in breast cancer cell lines and identified distinct classes of early and late systematic stable or transient effects of the treatment.
2012-01-24 | GSE28968 | GEO
Project description:The contribution of aberrant DNA methylation and the downstream effects in tumorogenesis through silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations can be reversed, we investigated the effects of the epigenetic therapy in breast cancer cell lines. We used microarrays to investigate the global microRNA expression profile after demethylation treatment with 5-aza-2’-deoxycytidine (DAC) in breast cancer cell lines and identified distinct classes of early and late systematic stable or transient effects of the treatment. Three selected breast cell lines including MDA-MB231, SKBR3, BT549, HS578T, MCF7 and HB2 (a breast epithelial cell line as control) were subject for miRNA isolation before treatment, after treatment with DAC and at five point follow-ups (1st, 3rd, 5th, 7th and 10th passages) at “drug holiday” condition and hybridized on Affymetrix microarrays.
2012-01-24 | E-GEOD-28969 | biostudies-arrayexpress