Literature DB >> 14580577

Enabling inverse metabolic engineering through genomics.

Ryan T Gill1.   

Abstract

Inverse metabolic engineering (IME) is a powerful framework for engineering cellular phenotypes. Progress in this field has been limited by a lack of comprehensive methods for efficiently identifying the genetic basis of relevant phenotypes. Advances in genomics technologies, including DNA microarrays and gene sequencing, have dramatically improved our ability to relate changes in phenotype with associated changes in genotype. When applied in the context of IME, these tools should enable the integration of "evolutionary" and "direct" approaches to engineering cell physiology, which should improve our understanding of the complex interactions affecting the expression, evolution and engineering of traits in natural and industrial hosts.

Mesh:

Year:  2003        PMID: 14580577     DOI: 10.1016/s0958-1669(03)00116-2

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  4 in total

1.  Evaluation of the cell viability of human Wharton's jelly stem cells for use in cell therapy.

Authors:  Ingrid Garzón; Barbara Pérez-Köhler; Juan Garrido-Gómez; Victor Carriel; Renato Nieto-Aguilar; Miguel Angel Martín-Piedra; Natalio García-Honduvilla; Julia Buján; Antonio Campos; Miguel Alaminos
Journal:  Tissue Eng Part C Methods       Date:  2012-01-26       Impact factor: 3.056

Review 2.  Cells by design: a mini-review of targeting cell engineering using DNA microarrays.

Authors:  Pratik Jaluria; Chia Chu; Michael Betenbaugh; Joseph Shiloach
Journal:  Mol Biotechnol       Date:  2008-06       Impact factor: 2.695

3.  Improvement of xylose uptake and ethanol production in recombinant Saccharomyces cerevisiae through an inverse metabolic engineering approach.

Authors:  Yong-Su Jin; Hal Alper; Yea-Tyng Yang; Gregory Stephanopoulos
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

Review 4.  Progress in metabolic engineering of Saccharomyces cerevisiae.

Authors:  Elke Nevoigt
Journal:  Microbiol Mol Biol Rev       Date:  2008-09       Impact factor: 11.056

  4 in total

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