ER-alpha-cDNA as part of a bicistronic transcript gives rise to high frequency, long term, receptor expressing cell

Michal Shenfeld1, Yafit Hachmo, Moran Frenkel

  • 1Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel Aviv University, Ramat Aviv, Israel.

Plos One
|February 25, 2012
PubMed

Insights

Establishing ectopic Estrogen Receptor alpha (ERα) expression in triple-negative breast cancer cells is challenging. A bicistronic vector system significantly improved the yield and stability of ERα-expressing cell clones for synthetic lethality screening.

Area of Science:

  • Oncology
  • Molecular Biology
  • Gene Expression

Background:

  • Triple-negative breast cancer (TNBC) is ERα-negative, PR-negative, and Her2-negative.
  • Ectopic expression of Estrogen Receptor alpha (ERα) in TNBC cells is crucial for synthetic lethality screening systems.
  • Previous attempts using mono-cistronic vectors yielded low and unstable ERα expression.

Purpose of the Study:

  • To develop a reliable method for generating stable ERα-expressing cell clones from TNBC cell lines.
  • To establish a synthetic lethality screening system for ERα-negative breast cancer.

Main Methods:

  • Transfection of TNBC cell lines with mono-cistronic and bicistronic vectors encoding ERα.
  • Utilizing a bicistronic vector with an Internal Ribosome Entry Site (IRES) for co-expression of ERα and a selectable marker.
  • Assessing the yield and long-term stability of ERα-expressing cell clones.

Main Results:

  • Mono-cistronic vectors resulted in low (5-12.5%) and unstable ERα expression.
  • The bicistronic pERα-IRES vector significantly increased the yield of ERα-expressing clones (50-100%).
  • Expression stability was improved, though variations between clones were observed.

Conclusions:

  • A bicistronic vector system is highly effective for generating stable ectopic ERα expression in TNBC cells.
  • This approach overcomes previous difficulties and facilitates the development of synthetic lethality screening systems.
  • The methodology may serve as a model for expressing other challenging genes ectopically.

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