ArticleProceedings of the National Academy of Sciences of the United States of America2013
Expressomal approach for comprehensive analysis and visualization of ligand sensitivities of xenoestrogen responsive genes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- The effects of soy supplementation on gene expression in breast cancer: a randomized placebo-controlled study.Journal of the National Cancer Institute · 2014Trial
- Cross-study analysis identifies estrogen depletion and exposure duration as key determinants of bisphenol A transcriptomic potency in MCF-7 cells.Toxicology reports · 2026Article
- Altered miRNA Expression Due to Bisphenol A Exposure and Associated Health Implications: A Narrative Review.Journal of xenobiotics · 2026Review
- High-throughput transcriptomics analysis of equipotent and human relevant mixtures of BPA alternatives reveal additive effects in vitro.Archives of toxicology · 2025Article
- Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.Frontiers in artificial intelligence · 2021Article
- Visceral obesity and cell cycle pathways serve as links in the association between bisphenol A exposure and breast cancer.Oncology letters · 2020Article
- Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: use case in breast carcinogenesis.Computational toxicology (Amsterdam, Netherlands) · 2018Article
- BCScreen: A gene panel to test for breast carcinogenesis in chemical safety screening.Computational toxicology (Amsterdam, Netherlands) · 2018Article
- Weighted Gene Correlation Network Analysis (WGCNA) Reveals Novel Transcription Factors Associated With Bisphenol A Dose-Response.Frontiers in genetics · 2018Article
- Editor's Highlight: Transcriptome Profiling Reveals Bisphenol A Alternatives Activate Estrogen Receptor Alpha in Human Breast Cancer Cells.Toxicological sciences : an official journal of the Society of Toxicology · 2017Article
- Dose- and Time-Dependent Transcriptional Response of Ishikawa Cells Exposed to Genistein.Toxicological sciences : an official journal of the Society of Toxicology · 2016Article
- Fish connectivity mapping: linking chemical stressors by their mechanisms of action-driven transcriptomic profiles.BMC genomics · 2016Article
- Nodes-and-connections RNAi knockdown screening: identification of a signaling molecule network involved in fulvestrant action and breast cancer prognosis.Oncogenesis · 2015Article
- Regulation of epithelial-mesenchymal transition in breast cancer cells by cell contact and adhesion.Cancer informatics · 2015Article
- A path forward in the debate over health impacts of endocrine disrupting chemicals.Environmental health : a global access science source · 2014Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Although biological effects of endocrine disrupting chemicals (EDCs) are often observed at unexpectedly low doses with occasional nonmonotonic 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 h 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 nonmonotonic responses.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.