SelProm: A Queryable and Predictive Expression Vector Selection Tool for


Journal

ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075

Informations de publication

Date de publication:
19 07 2019
Historique:
pubmed: 15 3 2019
medline: 12 6 2020
entrez: 15 3 2019
Statut: ppublish

Résumé

The rapid prototyping and optimization of plasmid-based recombinant gene expression is one of the key steps in the development of bioengineered bacterial systems. Often, multiple genes or gene modules need to be coexpressed, and for this purpose compatible, inducible plasmid systems have been developed. However, inducible expression systems are not favored in industrial processes, due to their prohibitive cost, and consequently the conversion to constitutive expression systems is often desired. Here we present a set of constitutive-expression plasmids for this purpose, which were benchmarked using fluorescent reporter genes. To further facilitate the conversion between inducible and constitutive expression systems, we developed SelProm, a design tool that serves as a parts repository of plasmid expression strength and predicts portability rules between constitutive and inducible plasmids through model comparison and machine learning. The SelProm tool is freely available at http://selprom.synbiochem.co.uk .

Identifiants

pubmed: 30870592
doi: 10.1021/acssynbio.8b00399
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1478-1483

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M017702/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/R506497/1
Pays : United Kingdom

Auteurs

Adrian J Jervis (AJ)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Pablo Carbonell (P)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Sandra Taylor (S)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Rehana Sung (R)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Mark S Dunstan (MS)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Christopher J Robinson (CJ)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Rainer Breitling (R)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Eriko Takano (E)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

Nigel S Scrutton (NS)

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry , University of Manchester , Manchester M1 7DN , U.K.

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Classifications MeSH