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PMID: 17292651 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Global transcription machinery engineering: a new approach for improving cellular phenotype.

Metabolic engineering ·Vol. 9 ·No. 3 ·2007-05-00 ·Pages 258-67

Alper H, Stephanopoulos G

Abstract

It is now generally accepted that most cellular phenotypes are affected by many genes. As a result, engineering a desired phenotype would be facilitated enormously by simultaneous multiple gene modification, yet the capacity to introduce such modifications is very limited. Here, we demonstrate that the components of global cellular transcription machinery (specifically, sigma(70)) can be engineered to allow for global perturbations of the transcriptome, which can help unlock complex phenotypes. Results from three distinct phenotypes (ethanol tolerance, metabolite overproduction, and multiple phenotypes) are provided as proof-of-concept. In each case, the tool of global transcription machinery engineering (gTME) outperformed traditional approaches by quickly and more effectively optimizing phenotypes.

MeSH Terms
DNA-Directed RNA Polymerases/genetics,metabolism Escherichia coli/genetics,metabolism Escherichia coli Proteins/genetics,metabolism Gene Expression Regulation, Bacterial/genetics Genetic Engineering/methods Models, Biological Phenotype Sigma Factor/genetics,metabolism Transcription, Genetic
Chemicals
Escherichia coli Proteins Sigma Factor RNA polymerase sigma 70 DNA-Directed RNA Polymerases
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Alper Hal
Department of Chemical Engineering, Massachusetts Institute of Technology, Room 56-469, Cambridge, MA 02139, USA.
Stephanopoulos Gregory
Article Info
Journal
Metabolic engineering
Abbr.
Metab Eng
ISSN
1096-7176
Published
2007-05-00
Epub
2007-00-08
Pages
258-67
Language
English
Region
Belgium
NLM ID
9815657
Subset
IM
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