Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from DKAT and other breast cancer cell lines under baseline growth conditions

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. We used microarrays to look at gene expression in the DKAT cell line compared to several other commonly-used breast cancer cell lines as well as a previously published data set in order to determine the molecular subtype of the DKAT cell line. DKAT, HMEC, and MDA-MB-231 cells were cultured in Mammary Epithelial Growth Media (MEGM, Lonza). 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 replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Nicholas D'Amato

PROVIDER: E-GEOD-33145 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

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.

Project description:Withaferin A isolated from Withania somnifera (Ashwagandha) has recently become an attractive phytochemical under investigation in various preclinical studies for treatment of different cancer types. In the present study, a comparative pathway-based transcriptome analysis was applied in epithelial-like MCF-7 and triple negative mesenchymal MDA-MB-231 breast cancer cells exposed to concentrations of Withaferin A (WA) which can be detected systemically in in vivo experiments. Whereas WA revealed attenuation of multiple cancer hallmarks the withanolide analogue Withanone (WN), did not exert any of the described effects in these cells at comparable concentrations. Pathway enrichment analysis identified that WA targeted relevant cancer programs related to cell death, cell cycle and proliferation, which could functionally be validated flow cytometrically and by real-time proliferation xCELLigence assay. With respect to cell motility, invasion and metastasis processes, WA was found to strongly decrease MDA-MB-231 invasion as determined by single-cell collagen invasion assay. This is further supported by gene expression changes which demonstrate increased expression of a validated breast cancer metastasis suppressor gene (BRMS1) and concomitant decreased expression of extracellular matrix-degrading proteases (PLAU, PLAT, ADAM8), cell adhesion molecules (integrins, laminins) as well as pro-inflammatory mediators of the metastasis-promoting tumor microenvironment (TNFSF12, IL6, ANGPTL2, CSF1R). Subsequent in silico network analysis listed key node transcription factors regulating these processes (p53, E2F1, CDKN2A, NRF2) and revealed the role of chromatin modifying enzymes (p300, JARID1B) as central master switches, linking multiple anticancer activities of WA. Furthermore, hierarchical clustering analysis of 84 chromatin writer-reader-eraser enzymes revealed that WA treatment of invasive mesenchymal MDA-MB-231 cells reprogrammed their transcription levels more similarly towards the pattern observed in non-invasive MCF-7 cells. In conclusion, taking in account that sub-cytotoxic concentrations of WA target multiple metastatic effectors in therapy resistant triple negative breast cancer, WA based therapeutic strategies hold promise for further (pre)clinical development to defeat aggressive metastatic breast cancer. Total RNA from 2 different cell lines treated with WA, are compared to their untreated states

Dataset Information

Expression data from DKAT and other breast cancer cell lines under baseline growth conditions

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets