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Genome-Wide Tuning of Protein Expression Levels to Rapidly Engineer Microbial Traits.
Freed, Emily F; Winkler, James D; Weiss, Sophie J; Garst, Andrew D; Mutalik, Vivek K; Arkin, Adam P; Knight, Rob; Gill, Ryan T.
Afiliación
  • Freed EF; Department of Chemical and Biological Engineering, University of Colorado Boulder , Boulder, Colorado 80309, United States.
  • Winkler JD; Department of Chemical and Biological Engineering, University of Colorado Boulder , Boulder, Colorado 80309, United States.
  • Weiss SJ; Department of Chemical and Biological Engineering, University of Colorado Boulder , Boulder, Colorado 80309, United States.
  • Garst AD; Department of Chemical and Biological Engineering, University of Colorado Boulder , Boulder, Colorado 80309, United States.
  • Mutalik VK; Lawrence Berkeley National Laboratory , Physical Biosciences Division, Berkeley, California 94720, United States.
  • Arkin AP; Department of Bioengineering, University of California, Berkeley , Berkeley, California 94720, United States.
  • Knight R; Lawrence Berkeley National Laboratory , Physical Biosciences Division, Berkeley, California 94720, United States.
  • Gill RT; Department of Bioengineering, University of California, Berkeley , Berkeley, California 94720, United States.
ACS Synth Biol ; 4(11): 1244-53, 2015 Nov 20.
Article en En | MEDLINE | ID: mdl-26478262
ABSTRACT
The reliable engineering of biological systems requires quantitative mapping of predictable and context-independent expression over a broad range of protein expression levels. However, current techniques for modifying expression levels are cumbersome and are not amenable to high-throughput approaches. Here we present major improvements to current techniques through the design and construction of E. coli genome-wide libraries using synthetic DNA cassettes that can tune expression over a ∼10(4) range. The cassettes also contain molecular barcodes that are optimized for next-generation sequencing, enabling rapid and quantitative tracking of alleles that have the highest fitness advantage. We show these libraries can be used to determine which genes and expression levels confer greater fitness to E. coli under different growth conditions.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ingeniería Genética / Genoma Bacteriano / Escherichia coli Idioma: En Revista: ACS Synth Biol Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ingeniería Genética / Genoma Bacteriano / Escherichia coli Idioma: En Revista: ACS Synth Biol Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos