Regulation of Estrogen Receptor Transcription in Breast Carcinoma.

Abstract

In this study, we performed a functional mapping of the Estrogen Receptor (ER) promoter region and found a region in the 5' untranslated leader sequence that controlled ER transcription in ER-positive breast carcinoma cell lines. This region contained two binding sites for a transcription factor, Estrogen Receptor Factor-1 (ERF-1). ERF-1 was identified by gel shift assay and was present in ER-positive breast and endometrial carcinoma cells, but absent in ER-negative cell lines, thus inferring a role for ERF-1 in the regulation of ER transcription in breast carcinoma. Mutational analysis of the ERF-1 binding site showed that ERF-1 binding was correlated with transcriptional activity. ERF-1 was purified from MCF7 breast carcinoma cells using ion-exchange and DNA affinity chromatography and the cDNA was isolated from a MCF7 expression cDNA library. ERF-1 was identified as AP2gamma, a member of the AP2 transcription factor family. When binding specificity of ERF-1 was compared to AP2alpha using PCR-Assisted Binding Site selection and competitive gel shift assay, it was found that the two proteins recognized the same DNA sequence. Cotransfection of AP2alpha or AP2gamma with an ER promoter reporter construct demonstrated that activation of the ER promoter is dependent upon cell type.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADB246269

Entities

People

  • Ronald J. Weigel

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Biomedical And Dental Materials
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cells
  • Chemistry
  • Chromatography
  • Genetic Structures
  • Ion Exchange
  • Liquid Chromatography
  • Molecular Dynamics
  • Neoplasms
  • Polymeric Films
  • Protein Sequence Analysis
  • Site Selection
  • Transcription Factors

Fields of Study

  • Biology

Readers

  • Linear Algebra
  • Molecular Biology and Genetics
  • Molecular Genetics

Technology Areas

  • AI & ML