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Implementation of complex biological logic circuits using spatially distributed multicellular consortia

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dc.contributor.author Macía, Javier
dc.contributor.author Manzoni, Romilde
dc.contributor.author Conde Pueyo, Núria, 1983-
dc.contributor.author Urrios Garcia, Arturo, 1990-
dc.contributor.author Nadal Clanchet, Eulàlia de
dc.contributor.author Solé Vicente, Ricard, 1962-
dc.contributor.author Posas Garriga, Francesc
dc.date.accessioned 2016-03-07T15:24:44Z
dc.date.available 2016-03-07T15:24:44Z
dc.date.issued 2016
dc.identifier.citation Macia J, Manzoni R, Conde N, Urrios A, de Nadal E, Solé R et al. Implementation of complex biological logic circuits using spatially distributed multicellular consortia. PLoS computational biology. 2016; 12(2): e10046859. DOI 10.1371/journal.pcbi.1004685
dc.identifier.issn 1553-734X
dc.identifier.uri http://hdl.handle.net/10230/25979
dc.description.abstract Engineered synthetic biological devices have been designed to perform a variety of functions from sensing molecules and bioremediation to energy production and biomedicine. Notwithstanding, a major limitation of in vivo circuit implementation is the constraint associated to the use of standard methodologies for circuit design. Thus, future success of these devices depends on obtaining circuits with scalable complexity and reusable parts. Here we show how to build complex computational devices using multicellular consortia and space as key computational elements. This spatial modular design grants scalability since its general architecture is independent of the circuit's complexity, minimizes wiring requirements and allows component reusability with minimal genetic engineering. The potential use of this approach is demonstrated by implementation of complex logical functions with up to six inputs, thus demonstrating the scalability and flexibility of this method. The potential implications of our results are outlined.
dc.description.sponsorship This work was supported by an ERC Advanced Grant Number 294294 from the EU seventh framework program (SYNCOM) to RS and FP, and the Santa Fe Institute to RS. FP and RS laboratories are also supported by Fundación Botín, by Banco Santander through its Santander Universities Global Division. The laboratory of FP and EdN is supported by grants from the Spanish Government (BFU2012-33503/ BFU2015-64437 P and FEDER to FP; BFU2014-52333-P and FEDER to EdN) and the Catalan Government (2014 SGR 599). The research leading to these results has received funding from “la Caixa” Foundation in collaboration with “Centre per a la Innovació de la Diabetis Infantil Sant Joan de Déu (CIDI)”. FP and EdN are recipients of an ICREA Acadèmia (Generalitat de Catalunya). RM was a former EMBO postdoctoral fellow. AU is a recipient of a “La Caixa” fellowship.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS computational biology. 2016; 12(2): e10046859
dc.rights © 2016 Macia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits/nunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.other Biologia sintètica
dc.title Implementation of complex biological logic circuits using spatially distributed multicellular consortia
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1371/journal.pcbi.1004685
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/294294
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/BFU2012-33503
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2015-64437
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2014-52333-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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