Implementing re-configurable biological computation with distributed multicellular consortia

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  • dc.contributor.author Canadell, David
  • dc.contributor.author Ortiz Vaquerizas, Nicolás
  • dc.contributor.author Mogas Díez, Sira
  • dc.contributor.author Nadal Clanchet, Eulàlia de
  • dc.contributor.author Macía, Javier
  • dc.contributor.author Posas Garriga, Francesc
  • dc.date.accessioned 2022-12-15T07:16:35Z
  • dc.date.available 2022-12-15T07:16:35Z
  • dc.date.issued 2022
  • dc.description.abstract The use of synthetic biological circuits to deal with numerous biological challenges has been proposed in several studies, but its implementation is still remote. A major problem encountered is the complexity of the cellular engineering needed to achieve complex biological circuits and the lack of general-purpose biological systems. The generation of re-programmable circuits can increase circuit flexibility and the scalability of complex cell-based computing devices. Here we present a new architecture to produce reprogrammable biological circuits that allow the development of a variety of different functions with minimal cell engineering. We demonstrate the feasibility of creating several circuits using only a small set of engineered cells, which can be externally reprogrammed to implement simple logics in response to specific inputs. In this regard, depending on the computation needs, a device composed of a number of defined cells can generate a variety of circuits without the need of further cell engineering or rearrangements. In addition, the inclusion of a memory module in the circuits strongly improved the digital response of the devices. The reprogrammability of biological circuits is an intrinsic capacity that is not provided in electronics and it may be used as a tool to solve complex biological problems.
  • dc.description.sponsorship The laboratories of F.P. and E.dN. are supported by a coordinated grant from the Ministry of Science, Innovation, and Universities [PID2021-124723NB-C21/C22 and FEDER, TED2021-131562B-100]; Government of Catalonia [2017 SGR 799, AEI-PID2020-119538RB-I00 to J.M.]; Fundació La Marató de TV3 [332/C/2016]; Office of Naval Research ONR and AFOSR [N62909-18-1-2065 NCE]; F.P. and E.dN. are recipients of an ICREA Acadèmia (Government of Catalonia); Ministry of Science, Innovation and Universities through the Centres of Excellence Severo Ochoa Award, and from the CERCA Programme of the Government of Catalonia and the Unidad de Excelencia María de Maeztu, funded by the AEI [CEX2018-000792-M]. Funding for open access charge: IRB core funding of the group.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Canadell D, Ortiz-Vaquerizas N, Mogas-Diez S, de Nadal E, Macia J, Posas F. Implementing re-configurable biological computation with distributed multicellular consortia. Nucleic Acids Res. 2022 Nov 28;50(21):12578-95. DOI: 10.1093/nar/gkac1120
  • dc.identifier.doi http://dx.doi.org/10.1093/nar/gkac1120
  • dc.identifier.issn 0305-1048
  • dc.identifier.uri http://hdl.handle.net/10230/55145
  • dc.language.iso eng
  • dc.publisher Oxford University Press
  • dc.relation.ispartof Nucleic Acids Res. 2022 Nov 28;50(21):12578-95
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-124723NB-C21
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-124723NB-C22
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/TED2021-131562B-100
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-119538RB-I00
  • dc.rights © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
  • dc.title Implementing re-configurable biological computation with distributed multicellular consortia
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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