ReviewMicrobiology and molecular biology reviews : MMBR2005
Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.
Review in Microbiology and molecular biology reviews : MMBR, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses.Frontiers in plant science · 2023Review
- Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies.Frontiers in bioengineering and biotechnology · 2021Review
- Flux prediction using artificial neural network (ANN) for the upper part of glycolysis.PloS one · 2019Article
- Comprehensive assessment of measurement uncertainty inAnalytical and bioanalytical chemistry · 2018Article
- Promiscuous activities of heterologous enzymes lead to unintended metabolic rerouting inBiotechnology for biofuels · 2018Article
- Recent Advances in the Recombinant Biosynthesis of Polyphenols.Frontiers in microbiology · 2017Review
- Systems Metabolic Engineering of Escherichia coli.EcoSal Plus · 2016Review
- Article
- Combined effect of loss of the caa3 oxidase and Crp regulation drives Shewanella to thrive in redox-stratified environments.The ISME journal · 2013Article
- Proteomic analysis reveals resistance mechanism against biofuel hexane in Synechocystis sp. PCC 6803.Biotechnology for biofuels · 2012Article
- Microbial metabolomics.Current genomics · 2011Article
- Physiological roles of ArcA, Crp, and EtrA and their interactive control on aerobic and anaerobic respiration in Shewanella oneidensis.PloS one · 2010Article
- Metabolic and transcriptional response to cofactor perturbations in Escherichia coli.The Journal of biological chemistry · 2010Article
- Comparative transcriptomic approach to investigate differences in wine yeast physiology and metabolism during fermentation.Applied and environmental microbiology · 2009Article
- A review of lipidomic technologies applicable to sphingolipidomics and their relevant applications.European journal of lipid science and technology : EJLST · 2009Article
- Proteome-based comparative analyses of growth stages reveal new cell cycle-dependent functions in the predatory bacterium Bdellovibrio bacteriovorus.Applied and environmental microbiology · 2008Article
- Engineering of the methylmalonyl-CoA metabolite node of Saccharopolyspora erythraea for increased erythromycin production.Metabolic engineering · 2007Article
- How phosphotransferase system-related protein phosphorylation regulates carbohydrate metabolism in bacteria.Microbiology and molecular biology reviews : MMBR · 2006Review
- Metabolic networks in motion: 13C-based flux analysis.Molecular systems biology · 2006Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The importance of regulatory control in metabolic processes is widely acknowledged, and several enquiries (both local and global) are being made in understanding regulation at various levels of the metabolic hierarchy. The wealth of biological information has enabled identifying the individual components (genes, proteins, and metabolites) of a biological system, and we are now in a position to understand the interactions between these components. Since phenotype is the net result of these interactions, it is immensely important to elucidate them not only for an integrated understanding of physiology, but also for practical applications of using biological systems as cell factories. We present some of the recent "-omics" approaches that have expanded our understanding of regulation at the gene, protein, and metabolite level, followed by analysis of the impact of this progress on the advancement of metabolic engineering. Although this review is by no means exhaustive, we attempt to convey our ideology that combining global information from various levels of metabolic hierarchy is absolutely essential in understanding and subsequently predicting the relationship between changes in gene expression and the resulting phenotype. The ultimate aim of this review is to provide metabolic engineers with an overview of recent advances in complementary aspects of regulation at the gene, protein, and metabolite level and those involved in fundamental research with potential hurdles in the path to implementing their discoveries in practical applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.