IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v405y2000i6786d10.1038_35014651.html
   My bibliography  Save this article

Engineering stability in gene networks by autoregulation

Author

Listed:
  • Attila Becskei

    (EMBL, Structures & Biocomputing)

  • Luis Serrano

    (EMBL, Structures & Biocomputing)

Abstract

The genetic and biochemical networks which underlie such things as homeostasis in metabolism and the developmental programs of living cells, must withstand considerable variations and random perturbations of biochemical parameters1,2,3. These occur as transient changes in, for example, transcription, translation, and RNA and protein degradation. The intensity and duration of these perturbations differ between cells in a population4. The unique state of cells, and thus the diversity in a population, is owing to the different environmental stimuli the individual cells experience and the inherent stochastic nature of biochemical processes (for example, refs 5 and 6). It has been proposed, but not demonstrated, that autoregulatory, negative feedback loops in gene circuits provide stability7, thereby limiting the range over which the concentrations of network components fluctuate. Here we have designed and constructed simple gene circuits consisting of a regulator and transcriptional repressor modules in Escherichia coli and we show the gain of stability produced by negative feedback.

Suggested Citation

  • Attila Becskei & Luis Serrano, 2000. "Engineering stability in gene networks by autoregulation," Nature, Nature, vol. 405(6786), pages 590-593, June.
    • Handle: RePEc:nat:nature:v:405:y:2000:i:6786:d:10.1038_35014651
    DOI: 10.1038/35014651
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/35014651
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/35014651?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hui Zhang & Yueling Chen & Yong Chen, 2012. "Noise Propagation in Gene Regulation Networks Involving Interlinked Positive and Negative Feedback Loops," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    2. Kyung H Kim & Herbert M Sauro, 2012. "Adjusting Phenotypes by Noise Control," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-14, January.
    3. Stefano Ciliberti & Olivier C Martin & Andreas Wagner, 2007. "Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology," PLOS Computational Biology, Public Library of Science, vol. 3(2), pages 1-10, February.
    4. Luca Cardelli & Rosa D Hernansaiz-Ballesteros & Neil Dalchau & Attila Csikász-Nagy, 2017. "Efficient Switches in Biology and Computer Science," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-16, January.
    5. Abhyudai Singh & Mohammad Soltani, 2013. "Quantifying Intrinsic and Extrinsic Variability in Stochastic Gene Expression Models," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-12, December.
    6. Tobias May & Lee Eccleston & Sabrina Herrmann & Hansjörg Hauser & Jorge Goncalves & Dagmar Wirth, 2008. "Bimodal and Hysteretic Expression in Mammalian Cells from a Synthetic Gene Circuit," PLOS ONE, Public Library of Science, vol. 3(6), pages 1-7, June.
    7. Karl P. Gerhardt & Satyajit D. Rao & Evan J. Olson & Oleg A. Igoshin & Jeffrey J. Tabor, 2021. "Independent control of mean and noise by convolution of gene expression distributions," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    8. Sara Hooshangi & William E Bentley, 2011. "LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach," PLOS Computational Biology, Public Library of Science, vol. 7(9), pages 1-11, September.
    9. Graham Rockwell & Nicholas J Guido & George M Church, 2013. "Redirector: Designing Cell Factories by Reconstructing the Metabolic Objective," PLOS Computational Biology, Public Library of Science, vol. 9(1), pages 1-15, January.
    10. Arjunan, Mani Mallika & Abdeljawad, Thabet & Anbalagan, Pratap, 2022. "Impulsive effects on fractional order time delayed gene regulatory networks: Asymptotic stability analysis," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    11. Theinmozhi Arulraj & Debashis Barik, 2018. "Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-23, October.
    12. Avraham E Mayo & Yaakov Setty & Seagull Shavit & Alon Zaslaver & Uri Alon, 2006. "Plasticity of the cis-Regulatory Input Function of a Gene," PLOS Biology, Public Library of Science, vol. 4(4), pages 1-1, March.
    13. Gentian Buzi & Mustafa Khammash, 2016. "Implementation Considerations, Not Topological Differences, Are the Main Determinants of Noise Suppression Properties in Feedback and Incoherent Feedforward Circuits," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-16, June.
    14. Alexander Anders & Bhaswar Ghosh & Timo Glatter & Victor Sourjik, 2020. "Design of a MAPK signalling cascade balances energetic cost versus accuracy of information transmission," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    15. Cencetti, Giulia & Battiston, Federico & Carletti, Timoteo & Fanelli, Duccio, 2020. "Generalized patterns from local and non local reactions," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    16. Zhou, Peipei & Cai, Shuiming & Liu, Zengrong & Chen, Luonan & Wang, Ruiqi, 2013. "Coupling switches and oscillators as a means to shape cellular signals in biomolecular systems," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 115-126.
    17. Jiegen Wu & Baoqiang Chen & Yadi Liu & Liang Ma & Wen Huang & Yihan Lin, 2022. "Modulating gene regulation function by chemically controlled transcription factor clustering," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Yang, Juanping & Sheng, Yuhong & Li, Hong-Li & Hu, Cheng, 2023. "Stability and adaptive control-based synchronization of delayed uncertain fractional-order gene regulatory networks," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    19. Tina Toni & Bruce Tidor, 2013. "Combined Model of Intrinsic and Extrinsic Variability for Computational Network Design with Application to Synthetic Biology," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-17, March.
    20. Wu, Juan & Xu, Yong & Ma, Shaojuan, 2019. "Realizing the transformation of logic gates in a genetic toggle system under Lévy noise," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 171-179.
    21. Andras Gyorgy, 2023. "Competition and evolutionary selection among core regulatory motifs in gene expression control," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    22. Najme Khorasani & Mehdi Sadeghi & Abbas Nowzari-Dalini, 2020. "A computational model of stem cell molecular mechanism to maintain tissue homeostasis," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-25, July.
    23. Guillermo Rodrigo & Santiago F Elena, 2011. "Structural Discrimination of Robustness in Transcriptional Feedforward Loops for Pattern Formation," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-7, February.
    24. Zang, Hong & Zhang, Tonghua & Zhang, Yanduo, 2015. "Bifurcation analysis of a mathematical model for genetic regulatory network with time delays," Applied Mathematics and Computation, Elsevier, vol. 260(C), pages 204-226.
    25. Rutger Hermsen & Bas Ursem & Pieter Rein ten Wolde, 2010. "Combinatorial Gene Regulation Using Auto-Regulation," PLOS Computational Biology, Public Library of Science, vol. 6(6), pages 1-13, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:405:y:2000:i:6786:d:10.1038_35014651. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.