NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE50705 Query DataSets for GSE50705
Status Public on Sep 10, 2013
Title Xenoestrogen Dose-dependent Transcriptomal Changes in MCF-7 Human Breast Cancer Cells
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Transcriptome analysis of MCF-7 cells exposed for 48 hours to various concentrations of xenoestrogen chemicals.
Although biological effects of endocrine disrupting chemicals (EDCs) are often observed at unexpectedly low doses with occasional non-monotonic dose-response characteristics, transcriptome-wide profiles of sensitivities or dose-dependent behaviors of the EDC responsive genes have remained unexplored. Here, we describe expressome analysis for the comprehensive examination of dose-dependent gene responses and its applications to characterize estrogen responsive genes in MCF-7 cells. Transcriptomes of MCF-7 cells exposed to varying concentrations of representative natural and xenobiotic estrogens for 48 hours were determined by microarray and used for computational calculation of interpolated approximations of estimated transcriptomes for 300 doses uniformly distributed in log space for each chemical. The entire collection of these estimated transcriptomes, designated as the expressome, has provided unique opportunities to profile chemical-specific distributions of ligand sensitivities for large numbers of estrogen responsive genes, revealing that at low concentrations estrogens generally tended to suppress rather than to activate transcription. Gene ontology analysis demonstrated distinct functional enrichment between high- and low-sensitivity estrogen responsive genes, supporting the notion that a single EDC chemical can cause qualitatively distinct biological responses at different doses. Expressomal heatmap visualization of dose-dependent induction of Bisphenol A-inducible genes showed a weak gene activation peak at a very low concentration range (ca. 0.1 nM) in addition to the main, strong gene activation peak at and above 100 nM. Thus, expressome analysis is a powerful approach to understanding the EDC dose-dependent dynamic changes in gene expression at the transcriptomal level, providing important information on the overall profiles of ligand sensitivities and non-monotonic responses.
 
Overall design Subconfluent density of MCF-7 cells were exposed to various concentrations of xenoestrogen chemicals for 48 hours and then subjected to transcriptomal analysis using Affymetrix U133 version 2 plus microarray.
 
Contributor(s) Shioda T, Rosenthal NF, Coser KR, Suto M, Phatak M, Medvedovic M, Carey VJ, Isselbacher KJ
Citation(s) 24062438, 26479444
Submission date Sep 09, 2013
Last update date Mar 30, 2020
Contact name Toshi Shioda
E-mail(s) tshioda@partners.org
Phone (617) 726-3425
Organization name MGH Cancer Center
Department Center for Cancer Research
Lab Molecular Profiling Lab
Street address Building 149 - 7th Floor, 13th Street
City Charlestown
State/province MA
ZIP/Postal code 02129
Country USA
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (351)
GSM1226639 BPA-Series4-control
GSM1226640 BPA-Series4-1000 nM
GSM1226641 BPA-Series4-100 uM
Relations
BioProject PRJNA218527

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE50705_RAW.tar 2.0 Gb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap