Impact of ‘ome’ analyses on inverse metabolic engineering
Abstract
Genome-wide or large-scale methodologies employed in functional genomics such as DNA sequencing, transcription profiling, proteomics, and metabolite profiling have become important tools in many metabolic engineering strategies. These techniques allow the identification of genetic differences and insight into their cellular effects. In the field of inverse metabolic engineering mapping of differences between strains with different degree of a certain desired phenotype and subsequent identification of factors conferring that phenotype are an essential part. Therefore, the tools of functional genomics in particular have the potential to promote and expand inverse metabolic engineering. Here, we review the use of functional genomics methods in inverse metabolic engineering, examples are presented, and we discuss the identification of targets for metabolic engineering with low fold changes using these techniques.
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Systems metabolic engineering has proven very successful for the design and implementation of biotechnological production processes.
“Synthetic biology is a new emerging field [10,11] and systems metabolic engineering has proven very successful for the design and implementation of biotechnological production processes [12-14].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [14]
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- Authors
- Bro, C., & Nielsen, J.
- Affiliations
- Technical University of Denmark (DK)
- Corresponding author
- Nielsen, Jens
- ORCID
- Nielsen, Jens
- Venue
- Metabolic Engineering
- Publisher
- Elsevier BV
- Published
- 2004-07
- Volume
- 6
- Issue
- 3
- Pages
- 204-211
- ISSN
- 1096-7176 (ISSN-L)
- OpenAlex
- W2008842117
- Cited by
- 116
- References
- 48
- Citations by year
- 2026: 1 · 2024: 11 · 2023: 1 · 2022: 1 · 2021: 2 · 2019: 3 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 8 · 2013: 7 · 2012: 9
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Metabolic Engineering (publishedVersion)
- PubMed (publishedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- inverse metabolic engineering, functional genomics, genome-wide analysis, strain comparison, proteomics, metabolite profiling, gene expression profiling
- MeSH terms
- Animals, Cell Physiological Phenomena, Gene Expression Regulation, Humans, Phenotype, Transcription, Genetic, Protein Engineering, Oligonucleotide Array Sequence Analysis, Proteome, Gene Expression Profiling, Genetic Enhancement, Protein Interaction Mapping
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