| Literature DB >> 14580577 |
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