Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from DKAT breast cancer cell line pre- and post-EMT

ABSTRACT: The DKAT cell line is a novel model of triple-negative breast cancer that was isolated from the pleural effusion of a 35 year-old caucasian woman with triple-negative breast cancer. When cultured in serum-free media (MEGM, Lonza) this cell line exhibits an epithelial morphology and gene expression pattern. However, when cultured in the presence of serum (SCGM, Lonza) it undergoes a reversible EMT. We used microarrays to look at gene expression changes in the DKAT cell line when cultured in Mammary Epithelial Growth Media (MEGM, where DKAT cells have an epithelial morphology) vs Stromal Cell Growth Media (SCGM, where DKAT cells have a mesenchymal morphology). DKAT breast cancer cells (passage 10) grown in MEGM (Lonza) were split and cultured in T75 flasks in either in MEGM or SCGM for 14 days. RNA was isolated using Qiagen RNeasy kit and hybridization on Affymetrix microarrays was performed. Three separate cDNA reactions were performed and these were run as technical replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Nicholas D'Amato

PROVIDER: E-GEOD-33146 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:This dataset is part of the manuscript titled "The metabolic regulator ERRalpha, a downstream target of HER2/IGF1, as a therapeutic target in breast cancer" (in review). The expression data obtained in human mammary epithelial cells were used to generate a list of ERRalpha-regulated genes that was later refined in clinical breast cancer datasets to generate a clinically relevant signature of ERalpha activity (referred to as Cluster 3 signature). Using this signature of the estrogen-related receptor alpha (ERRa) to profile more than eight-hundred breast tumors, we found that patients with tumors exhibiting higher ERRa activity were predicted to have shorter disease free survival. Further, the ability of an ERRa antagonist, XCT790, to inhibit breast cancer cell proliferation correlates with the cellâs intrinsic ERRa activity. These findings highlight the potential of using the ERRa signature and antagonists in targeted therapy for breast cancer. Using a chemical genomic approach we determined that activation of the HER2/IGF1 signaling pathways upregulates the expression of PGC-1b, an obligate cofactor for ERRa activity. Knockdown of PGC-1b in HER2 positive breast cancer cells impaired ERRa signaling and reduced cell proliferation, implicating a functional role of PGC1b/ERRa in the pathogenesis HER2 positive breast cancer. Primary human mammary epithelial cells were a gift from Dr. J. Marks (Duke University, Durham, NC) and cultured in MEBM (Cambrex, East Rutherford, NJ) with MEGM bullet kit and supplemented with 5mg/ml transferrin and 10-5M isoproterenol. To generate ERR-alpha signature, hMECs were serum starved for 36h followed by infection with MOI=150 of adenoviruses expressing two variants of PGC1alpha, a protein ligand for ERRalpha: PGC-1alpha2x9 or PGC-1alpha L2L3M. PGC-1-2x9 is specific to ERRalpha, while PGC-1-L2L3M lacks the NR box and does not interact with ERRalpha or other nuclear receptors. The generation and purification of variant PGC-1alpha viruses were described previously (Gaillard et al., Molecular Cell 24:5, 2006). Comparable expression levels of the two PGC-1alpha variants were verified by Western immonoblot analysis (data not shown). RNA was collect 16h after infection and purified using RNeasy mini kit (Qiagen, Valencia, CA). Ten independent biological replicates from each virus infection were collected.

Project description:Introduction: Breast radiotherapy is currently â??one size fits allâ?? regardless of breast cancer subtype (eg. luminal, basal). However, recent clinical data suggests that radiation response may vary significantly among subtypes. Therefore, current practice leads to over- or under-treatment of women whose tumors are more or less radiation responsive. We hypothesized that this clinical variability may be due, in part, to differences in cellular radiation response. Methods: We exposed 16 biologically-diverse breast tumor cell lines to 0 or 5GY radiation. Microarray analysis was performed on RNA harvested from those cell lines. Samples were run in triplicate. Following quality assessment, differential gene expression analysis was performed using a two-way multiplicative linear mixed-effects model. A candidate radiation response biomarkers with biologically plausible role in radiation response, were identified and confirmed at the RNA and protein level with qPCR and Western blotting assays. Induction in human breast tumors was confirmed in 32 patients with paired pre- and post-radiation tumor samples using IHC and microarray analysis. Quantification of protein was performed in a blinded manner and included positive and negative controls. The objective of our study was to identify genomic determinants of radiation sensitivity using clinical samples as well as breast tumor cell lines. In order to identify differences in the radiation response gene expression profiles of specific breast cancer subtypes, we exposed 16 biologically-diverse breast tumor cell lines to 0 or 5GY radiation. Microarray analysis was performed on RNA harvested from those cell lines. Samples were run in triplicate. Following quality assessment, differential gene expression analysis was performed using a two-way multiplicative linear mixed-effects model. Candidate radiation response biomarker with a biologically plausible role in radiation response, were identified and confirmed at the RNA and protein level with qPCR and Western blotting assays. Induction of the genes of interest were further evaluated and confirmed in human breast tumors in 32 breast cancer patients with paired pre- and post-radiation tumor samples using IHC and microarray analysis assays.

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Expression data from DKAT breast cancer cell line pre- and post-EMT

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