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Genome scale engineering techniques for metabolic engineering.
Liu, Rongming; Bassalo, Marcelo C; Zeitoun, Ramsey I; Gill, Ryan T.
Afiliación
  • Liu R; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States. Electronic address: rongming.liu@colorado.edu.
  • Bassalo MC; Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, United States. Electronic address: marcelo.bassalo@colorado.edu.
  • Zeitoun RI; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States. Electronic address: ramsey.zeitoun@colorado.edu.
  • Gill RT; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States. Electronic address: rtg@colorado.edu.
Metab Eng ; 32: 143-154, 2015 Nov.
Article en En | MEDLINE | ID: mdl-26453944
ABSTRACT
Metabolic engineering has expanded from a focus on designs requiring a small number of genetic modifications to increasingly complex designs driven by advances in genome-scale engineering technologies. Metabolic engineering has been generally defined by the use of iterative cycles of rational genome modifications, strain analysis and characterization, and a synthesis step that fuels additional hypothesis generation. This cycle mirrors the Design-Build-Test-Learn cycle followed throughout various engineering fields that has recently become a defining aspect of synthetic biology. This review will attempt to summarize recent genome-scale design, build, test, and learn technologies and relate their use to a range of metabolic engineering applications.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma / Biología Sintética / Ingeniería Metabólica Límite: Animals / Humans Idioma: En Revista: Metab Eng Asunto de la revista: ENGENHARIA BIOMEDICA / METABOLISMO Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma / Biología Sintética / Ingeniería Metabólica Límite: Animals / Humans Idioma: En Revista: Metab Eng Asunto de la revista: ENGENHARIA BIOMEDICA / METABOLISMO Año: 2015 Tipo del documento: Article