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RBS and Promoter Strengths Determine the Cell-Growth-Dependent Protein Mass Fractions and Their Optimal Synthesis Rates

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RBS and Promoter Strengths Determine the Cell-Growth-Dependent Protein Mass Fractions and Their Optimal Synthesis Rates

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dc.contributor.author Santos-Navarro, Fernando Nóbel es_ES
dc.contributor.author Vignoni, Alejandro es_ES
dc.contributor.author Boada-Acosta, Yadira Fernanda es_ES
dc.contributor.author Picó, Jesús es_ES
dc.date.accessioned 2022-06-10T18:07:06Z
dc.date.available 2022-06-10T18:07:06Z
dc.date.issued 2021-12-17 es_ES
dc.identifier.uri http://hdl.handle.net/10251/183207
dc.description.abstract [EN] Models of gene expression considering host-circuit interactions are relevant for understanding both the strategies and associated trade-offs that cell endogenous genes have evolved and for the efficient design of heterologous protein expression systems and synthetic genetic circuits. Here, we consider a small-size model of gene expression dynamics in bacterial cells accounting for host-circuit interactions due to limited cellular resources. We define the cellular resources recruitment strength as a key functional coefficient that explains the distribution of resources among the host and the genes of interest and the relationship between the usage of resources and cell growth. This functional coefficient explicitly takes into account lab-accessible gene expression characteristics, such as promoter and ribosome binding site (RBS) strengths, capturing their interplay with the growth-dependent flux of available free cell resources. Despite its simplicity, the model captures the differential role of promoter and RBS strengths in the distribution of protein mass fractions as a function of growth rate and the optimal protein synthesis rate with remarkable fit to the experimental data from the literature for Escherichia coli. This allows us to explain why endogenous genes have evolved different strategies in the expression space and also makes the model suitable for model-based design of exogenous synthetic gene expression systems with desired characteristics. es_ES
dc.description.sponsorship This work was partially supported by grants MINECO/AEI, EU DPI2017-82896-C2-1-R, and MCIN/AEI/10.13039/501100011033 grant number PID2020-117271RB-C21. F.N.S.-N. is grateful to grant PAID-01-2017 (Universitat Politecnica de Valencia). The authors are very grateful to the anonymous reviewers for their comprehensive and in-depth reviews. es_ES
dc.language Inglés es_ES
dc.publisher American Chemical Society es_ES
dc.relation.ispartof ACS Synthetic Biology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Gene expression es_ES
dc.subject Burden es_ES
dc.subject Resources allocation es_ES
dc.subject Growth rate es_ES
dc.subject RBS strength es_ES
dc.subject Promoter strength es_ES
dc.subject Protein synthesis mass fractions es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title RBS and Promoter Strengths Determine the Cell-Growth-Dependent Protein Mass Fractions and Their Optimal Synthesis Rates es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1021/acssynbio.1c00131 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-82896-C2-1-R/ES/DISEÑO, CARACTERIZACION Y AJUSTE OPTIMO DE BIOCIRCUITOS SINTETICOS PARA BIOPRODUCCION CON CONTROL DE CARGA METABOLICA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-01-17/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117271RB-C21/ES/REGULACION DINAMICA MULTI-ESCALA EN INGENIERIA METABOLICA: CONTROL REALIMENTADO Y CICLO DBTL AUTOMATIZADO / es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Santos-Navarro, FN.; Vignoni, A.; Boada-Acosta, YF.; Picó, J. (2021). RBS and Promoter Strengths Determine the Cell-Growth-Dependent Protein Mass Fractions and Their Optimal Synthesis Rates. ACS Synthetic Biology. 10(12):3290-3303. https://doi.org/10.1021/acssynbio.1c00131 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1021/acssynbio.1c00131 es_ES
dc.description.upvformatpinicio 3290 es_ES
dc.description.upvformatpfin 3303 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 2161-5063 es_ES
dc.identifier.pmid 34767708 es_ES
dc.identifier.pmcid PMC8689641 es_ES
dc.relation.pasarela S\456183 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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