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Positive and negative regulation of endogenous genes by designed transcription factors

Beerli, Roger R., Dreier, Birgit, Barbas, Carlos F.·2000·Proceedings of the National Academy of Sciences

Abstract

Gene regulation by imposed localization was studied by using designed zinc finger proteins that bind 18-bp DNA sequences in the 5′ untranslated regions of the protooncogenes erbB-2 and erbB-3 . Transcription factors were generated by fusion of the DNA-binding proteins to repression or activation domains. When introduced into cells these transcription factors acted as dominant repressors or activators of, respectively, endogenous erbB-2 or erbB-3 gene expression. Significantly, imposed regulation of the two genes was highly specific, despite the fact that the transcription factor binding sites targeted in erbB-2 and erbB-3 share 15 of 18 nucleotides. Regulation of erbB-2 gene expression was observed in cells derived from several species that conserve the DNA target sequence. Repression of erbB-2 in SKBR3 breast cancer cells inhibited cell-cycle progression by inducing a G 1 accumulation, suggesting the potential of designed transcription factors for cancer gene therapy. These results demonstrate the willful up- and down-regulation of endogenous genes, and provide an additional means to alter biological systems.

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Research works printed but not linked: 33

  1. 10.1038/324429a0 · DOI
  2. M D Matteucci, R W Wagner Nature (London) 384, 20–22 (1996).
  3. 10.1038/387202a0 · DOI
  4. 10.1016/S0960-9822(07)00508-8 · DOI
  5. 10.1073/pnas.89.16.7345 · DOI
  6. 10.1073/pnas.91.23.11163 · DOI
  7. 10.1126/science.8303274 · DOI
  8. 10.1073/pnas.92.2.344 · DOI
  9. 10.1126/science.275.5300.657 · DOI
  10. 10.1073/pnas.96.6.2758 · DOI · Paper page
  11. 10.1073/pnas.94.11.5525 · DOI · Paper page
  12. 10.1073/pnas.95.25.14628 · DOI
  13. N E Hynes, D F Stern Biochim Biophys Acta 1198, 165–184 (1994).
  14. 10.1073/pnas.90.7.2900 · DOI
  15. M Alimandi, A Romano, M C Curia, R Muraro, P Fedi, S A Aaronson, P P Di Fiore, M H Kraus Oncogene 10, 1813–1821 (1995).
  16. 10.1093/emboj/18.8.2149 · DOI
  17. 10.1016/S0021-9258(18)42160-6 · DOI
  18. 10.1073/pnas.94.20.10669 · DOI
  19. 10.1128/MCB.15.3.1182 · DOI
  20. 10.1073/pnas.96.1.2 · DOI
  21. 10.1016/S0959-440X(99)80007-4 · DOI
  22. 10.1073/pnas.91.10.4509 · DOI
  23. 10.1002/j.1460-2075.1992.tb05603.x · DOI
  24. 10.1073/pnas.86.23.9193 · DOI
  25. 10.1073/pnas.87.13.4905 · DOI
  26. M R White, M C Hung Oncogene 7, 677–683 (1992).
  27. 10.1038/351588a0 · DOI
  28. 10.1073/pnas.90.6.2256 · DOI
  29. 10.1126/science.2885917 · DOI
  30. 10.1128/mcb.9.3.1165-1172.1989 · DOI
  31. J Deshane, F Loechel, R M Conry, G P Siegel, C R King, D T Curiel Gene Ther 1, 332–337 (1994).
  32. J M Daly, C B Jannot, R R Beerli, D Graus-Porta, F G Maurer, N E Hynes Cancer Res 57, 3804–3811 (1997).
  33. Neve R. M. Sutterluty H. Pullen N. Lane H. A. Daly J. M. Krek W. & Hynes N. E. (2000) Oncogene in press.

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Metadata

Authors
Beerli, R. R., Dreier, B., & Barbas, C. F.
Affiliations
The Skaggs Institute for Chemical Biology and the Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037
Venue
Proceedings of the National Academy of Sciences
Published
2000-01-31
Volume
97
Issue
4
Pages
1495-1500
ISSN
  • 0027-8424
  • 1091-6490
Cited by
305
References
2
Language
en

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