IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v2y2011i1d10.1038_ncomms1516.html
   My bibliography  Save this article

Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology

Author

Listed:
  • Baojun Wang

    (Imperial College London)

  • Richard I Kitney

    (Imperial College London)

  • Nicolas Joly

    (Faculty of Natural Sciences, Imperial College London
    Present address: Institut Jacques Monod, CNRS UMR 7592, Université Paris Diderot, Paris 75205, France.)

  • Martin Buck

    (Faculty of Natural Sciences, Imperial College London)

Abstract

Modular and orthogonal genetic logic gates are essential for building robust biologically based digital devices to customize cell signalling in synthetic biology. Here we constructed an orthogonal AND gate in Escherichia coli using a novel hetero-regulation module from Pseudomonas syringae. The device comprises two co-activating genes hrpR and hrpS controlled by separate promoter inputs, and a σ54-dependent hrpL promoter driving the output. The hrpL promoter is activated only when both genes are expressed, generating digital-like AND integration behaviour. The AND gate is demonstrated to be modular by applying new regulated promoters to the inputs, and connecting the output to a NOT gate module to produce a combinatorial NAND gate. The circuits were assembled using a parts-based engineering approach of quantitative characterization, modelling, followed by construction and testing. The results show that new genetic logic devices can be engineered predictably from novel native orthogonal biological control elements using quantitatively in-context characterized parts.

Suggested Citation

  • Baojun Wang & Richard I Kitney & Nicolas Joly & Martin Buck, 2011. "Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology," Nature Communications, Nature, vol. 2(1), pages 1-9, September.
  • Handle: RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1516
    DOI: 10.1038/ncomms1516
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms1516
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms1516?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
    ---><---

    Citations

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


    Cited by:

    1. Kanakov, Oleg & Chen, Shangbin & Zaikin, Alexey, 2024. "Learning by selective plasmid loss for intracellular synthetic classifiers," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    2. Weiyue Ji & Handuo Shi & Haoqian Zhang & Rui Sun & Jingyi Xi & Dingqiao Wen & Jingchen Feng & Yiwei Chen & Xiao Qin & Yanrong Ma & Wenhan Luo & Linna Deng & Hanchi Lin & Ruofan Yu & Qi Ouyang, 2013. "A Formalized Design Process for Bacterial Consortia That Perform Logic Computing," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    3. Yuanli Gao & Lei Wang & Baojun Wang, 2023. "Customizing cellular signal processing by synthetic multi-level regulatory circuits," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Lorenzo Pasotti & Nicolò Politi & Susanna Zucca & Maria Gabriella Cusella De Angelis & Paolo Magni, 2012. "Bottom-Up Engineering of Biological Systems through Standard Bricks: A Modularity Study on Basic Parts and Devices," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-10, July.

    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:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1516. 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.