Title of article
Global transcription machinery engineering: A new approach for improving cellular phenotype
Author/Authors
Alper، نويسنده , , Hal and Stephanopoulos، نويسنده , , Gregory، نويسنده ,
Issue Information
دوماهنامه با شماره پیاپی سال 2007
Pages
10
From page
258
To page
267
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, σ70) 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.
Keywords
Sigma factor engineering , directed evolution , Ethanol tolerance , Lycopene production , Metabolic engineering
Journal title
Metabolic Engineering
Serial Year
2007
Journal title
Metabolic Engineering
Record number
1428732
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