IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v420y2002i6912d10.1038_nature01257.html
   My bibliography  Save this article

Engineered gene circuits

Author

Listed:
  • Jeff Hasty

    (University of California San Diego)

  • David McMillen

    (Boston University)

  • J. J. Collins

    (Boston University)

Abstract

A central focus of postgenomic research will be to understand how cellular phenomena arise from the connectivity of genes and proteins. This connectivity generates molecular network diagrams that resemble complex electrical circuits, and a systematic understanding will require the development of a mathematical framework for describing the circuitry. From an engineering perspective, the natural path towards such a framework is the construction and analysis of the underlying submodules that constitute the network. Recent experimental advances in both sequencing and genetic engineering have made this approach feasible through the design and implementation of synthetic gene networks amenable to mathematical modelling and quantitative analysis. These developments have signalled the emergence of a gene circuit discipline, which provides a framework for predicting and evaluating the dynamics of cellular processes. Synthetic gene networks will also lead to new logical forms of cellular control, which could have important applications in functional genomics, nanotechnology, and gene and cell therapy.

Suggested Citation

  • Jeff Hasty & David McMillen & J. J. Collins, 2002. "Engineered gene circuits," Nature, Nature, vol. 420(6912), pages 224-230, November.
    • Handle: RePEc:nat:nature:v:420:y:2002:i:6912:d:10.1038_nature01257
    DOI: 10.1038/nature01257
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature01257
    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/nature01257?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. 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.
    2. Javier Macia & Romilde Manzoni & Núria Conde & Arturo Urrios & Eulàlia de Nadal & Ricard Solé & Francesc Posas, 2016. "Implementation of Complex Biological Logic Circuits Using Spatially Distributed Multicellular Consortia," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-24, February.
    3. 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.
    4. Kanakov, Oleg & Chen, Shangbin & Zaikin, Alexey, 2024. "Learning by selective plasmid loss for intracellular synthetic classifiers," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    5. Otero-Muras, Irene & Szederkényi, Gábor & Hangos, Katalin M. & Alonso, Antonio A., 2008. "Dynamic analysis and control of biochemical reaction networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(4), pages 999-1009.
    6. Chih-Yuan Hsu & Bor-Sen Chen, 2016. "Systematic Design of a Metal Ion Biosensor: A Multi-Objective Optimization Approach," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-16, November.
    7. Brian Drawert & Andreas Hellander & Ben Bales & Debjani Banerjee & Giovanni Bellesia & Bernie J Daigle Jr. & Geoffrey Douglas & Mengyuan Gu & Anand Gupta & Stefan Hellander & Chris Horuk & Dibyendu Na, 2016. "Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-15, December.
    8. Luna Rizik & Loai Danial & Mouna Habib & Ron Weiss & Ramez Daniel, 2022. "Synthetic neuromorphic computing in living cells," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

    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:420:y:2002:i:6912:d:10.1038_nature01257. 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.