Importance of dosage standardization for interpreting transcriptomal signature profiles: evidence from studies of xenoestrogens

Proc Natl Acad Sci U S A. 2006 Aug 8;103(32):12033-8. doi: 10.1073/pnas.0605341103. Epub 2006 Aug 1.

Abstract

To obtain insights into similarities and differences in the biological actions of related drugs or toxic agents, their transcriptomal signature profiles (TSPs) have been examined in a large number of studies. However, many such reports did not provide proper justification for the dosage criteria of each agent. Using a well characterized cell culture model of estrogen-dependent proliferation of MCF7 human breast cancer cells, we demonstrate how different approaches to dosage standardization exert critical influences on TSPs, leading to different and even conflicting conclusions. Using quantitative cellular response (QCR)-based dosage criteria, TSPs were determined by Affymetrix microarray when cells were proliferating at comparable rates in the presence of various estrogens. We observed that TSPs of the xenoestrogens (e.g., genistein or bisphenol A) were clearly different from the TSP of 17beta-estradiol; namely, the former strongly enhanced expression of genes involved in mitochondrial oxidative phosphorylation, whereas the latter showed minimal effects. In contrast, TSPs for genistein and 17beta-estradiol were indistinguishable by using the marker gene expression-based dosage criteria, conditions in which there was comparable expression of the mRNA transcripts for the estrogen-inducible WISP2 gene. Our findings indicate that determination and interpretation of TSPs in pharmacogenomic and toxicogenomic studies that examine the transcriptomal actions of related agents by microarray require a clear rationale for the dosage standardization method to be used. We suggest that future studies involving TSP analyses use quantitative and objective dosage standardization methods, such as those with quantitative cellular response or marker gene expression-based dosage criteria.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Line, Tumor
  • Cell Proliferation
  • Dose-Response Relationship, Drug
  • Estradiol / metabolism
  • Estrogens / metabolism
  • Estrogens / pharmacology*
  • Gene Expression Profiling
  • Humans
  • Mitochondria / metabolism
  • Oligonucleotide Array Sequence Analysis
  • Oxygen / metabolism
  • Reference Standards*
  • Transcription, Genetic

Substances

  • Estrogens
  • Estradiol
  • Oxygen

Associated data

  • GEO/GSE5200