Cited by 117Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic NetworksFungal and yeast genetics research

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Impact of ‘ome’ analyses on inverse metabolic engineering

Bro, Christoffer, Nielsen, Jens·2004·Metabolic Engineering

DOI 10.1016/j.ymben.2003.11.005

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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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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)
DOI: 10.1016/j.ymben.2003.11.005
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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