Linked Life Data

21681966

Source:http://linkedlifedata.com/resource/pubmed/id/21681966

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2011-7-5
pubmed:abstractText
Synthetic biology uses modeling to facilitate the design of new genetic constructions. In particular, it is of utmost importance to model the reaction of the cellular chassis when expressing heterologous systems. We constructed a mathematical model for the response of a bacterial cell chassis under heterologous expression. For this, we relied on previous characterization of the growth-rate dependence on cellular resource availability (in this case, DNA and RNA polymerases and ribosomes). Accordingly, we estimated the maximum capacities of the cell for heterologous expression to be 46% of the total RNA and the 33% of the total protein. To experimentally validate our model, we engineered two genetic constructions that involved the constitutive expression of a fluorescent reporter in a vector with a tunable origin of replication. We performed fluorescent measurements using population and single-cell fluorescent measurements. Our model predicted cell growth for several heterologous constructions under five different culture conditions and various plasmid copy numbers with significant accuracy, and confirmed that ribosomes act as the limiting resource. Our study also confirmed that the bacterial response to synthetic gene expression could be understood in terms of the requirement for cellular resources and could be predicted from relevant cellular parameters.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1860-7314
pubmed:author
pubmed:copyrightInfo
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
pubmed:issnType
Electronic
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
773-83
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Empirical model and in vivo characterization of the bacterial response to synthetic gene expression show that ribosome allocation limits growth rate.
pubmed:affiliation
Synth-Bio Group, Institute of Systems and Synthetic Biology, Universite d'Evry Val d'Essonne-Genopole®, 5 rue Henri Desbruères, Evry Cedex, France.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't