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Metabolic gene regulation in a dynamically changing environment

Author

Listed:
  • Matthew R. Bennett

    (and
    Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093, USA)

  • Wyming Lee Pang

    (and
    Present address: Institute for Systems Biology, Seattle, Washington 98103, USA.)

  • Natalie A. Ostroff

    (and)

  • Bridget L. Baumgartner

    (and)

  • Sujata Nayak

    (and)

  • Lev S. Tsimring

    (Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093, USA)

  • Jeff Hasty

    (and
    Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093, USA)

Abstract

Gene regulation: coping with change Living organisms have evolved under pressure to constantly adapt to rapidly changing environmental conditions. Yet cellular functions are usually studied under stable laboratory conditions or abrupt changes at best. Bennett et al. have now developed a microfluidics platform to present yeast cells with smoothly periodic changes in culture conditions. They observe that the yeast metabolic system reliably responds to slowly changing environment but filters out fast fluctuations. They then show that mutant cells that differed when probed in static environments have actually been optimized for similarly robust responses to dynamically changing environments. Finally, coupling this new approach with mathematical modelling, they predict and experimentally confirm a new regulatory link between the glucose and galactose signalling pathways.

Suggested Citation

  • Matthew R. Bennett & Wyming Lee Pang & Natalie A. Ostroff & Bridget L. Baumgartner & Sujata Nayak & Lev S. Tsimring & Jeff Hasty, 2008. "Metabolic gene regulation in a dynamically changing environment," Nature, Nature, vol. 454(7208), pages 1119-1122, August.
    • Handle: RePEc:nat:nature:v:454:y:2008:i:7208:d:10.1038_nature07211
    DOI: 10.1038/nature07211
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    Citations

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    Cited by:

    1. Filippo Menolascina & Gianfranco Fiore & Emanuele Orabona & Luca De Stefano & Mike Ferry & Jeff Hasty & Mario di Bernardo & Diego di Bernardo, 2014. "In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks," PLOS Computational Biology, Public Library of Science, vol. 10(5), pages 1-14, May.
    2. Carl Song & Hilary Phenix & Vida Abedi & Matthew Scott & Brian P Ingalls & Mads Kærn & Theodore J Perkins, 2010. "Estimating the Stochastic Bifurcation Structure of Cellular Networks," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-11, March.
    3. Jun Feng & Zhenting Li & Shizhen Zhang & Chun Bao & Jingxian Fang & Yun Yin & Bolei Chen & Lei Pan & Bing Wang & Yu Zheng, 2023. "A Microimage-Processing-Based Technique for Detecting Qualitative and Quantitative Characteristics of Plant Cells," Agriculture, MDPI, vol. 13(9), pages 1-16, September.
    4. Zhdanov, Vladimir P., 2012. "Periodic perturbation of genetic oscillations," Chaos, Solitons & Fractals, Elsevier, vol. 45(5), pages 577-587.

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