Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering.
Metab Eng
; 28: 123-133, 2015 Mar.
Article
em En
| MEDLINE
| ID: mdl-25554074
ABSTRACT
Targeted proteomics is a convenient method determining enzyme expression levels, but a quantitative analysis of these proteomic data has not been fully explored yet. Here, we present and demonstrate a computational tool (principal component analysis of proteomics, PCAP) that uses quantitative targeted proteomics data to guide metabolic engineering and achieve higher production of target molecules from heterologous pathways. The method is based on the application of principal component analysis to a collection of proteomics and target molecule production data to pinpoint specific enzymes that need to have their expression level adjusted to maximize production. We illustrated the method on the heterologous mevalonate pathway in Escherichia coli that produces a wide range of isoprenoids and requires balanced pathway gene expression for high yields and titers. PCAP-guided engineering resulted in over a 40% improvement in the production of two valuable terpenes. PCAP could potentially be productively applied to other heterologous pathways as well.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Terpenos
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Regulação Bacteriana da Expressão Gênica
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Proteínas de Escherichia coli
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Proteômica
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Escherichia coli
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Engenharia Metabólica
Idioma:
En
Revista:
Metab Eng
Assunto da revista:
ENGENHARIA BIOMEDICA
/
METABOLISMO
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos