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Related Concept Videos

In vitro Mutagenesis01:16

In vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

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The MultiBac Protein Complex Production Platform at the EMBL
13:51

The MultiBac Protein Complex Production Platform at the EMBL

Published on: July 11, 2013

Engineering genomes in multiplex.

Lauren B A Woodruff1, Ryan T Gill

  • 1Department of Chemical and Biological Engineering, University of Colorado, Campus Box 424, Boulder, CO 80309, USA.

Current Opinion in Biotechnology
|May 20, 2011
PubMed
Summary
This summary is machine-generated.

Metabolic engineering can now optimize complex traits using advanced genome engineering. This approach efficiently searches genetic combinations to improve valuable product synthesis in vivo.

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Area of Science:

  • Metabolic Engineering
  • Synthetic Biology
  • Genomics

Background:

  • Engineering complex traits for valuable product synthesis is a major challenge in metabolic engineering.
  • Existing methods struggle to efficiently optimize multigenic traits.

Purpose of the Study:

  • To present a framework for optimizing complex traits by searching genome-wide combinatorial space.
  • To highlight recent genome engineering advances enabling this optimization.

Main Methods:

  • Utilizing multiplex recombineering for combinatorial optimization of complex traits.
  • Employing advanced genome engineering techniques to map functional genomic changes.
  • Implementing a framework for efficient genome-wide combinatorial space searching.

Main Results:

  • Demonstrated efficient searching of genome-wide combinatorial space.
  • Enabled combinatorial optimization of complex (multigenic) traits.
  • Advanced the ability to map functional genomic changes.

Conclusions:

  • The described framework and genome engineering advances facilitate efficient optimization of complex traits.
  • This approach significantly enhances the capacity for in vivo synthesis of valuable products.
  • Overcomes key challenges in metabolic engineering for complex trait development.