2020
DOI: 10.1016/j.tim.2019.09.003
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Trends in Systems Biology for the Analysis and Engineering of Clostridium acetobutylicum Metabolism

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Cited by 31 publications
(20 citation statements)
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“…To address the drawbacks of mutagenesis in theory, various omics technologies (transcriptomics, proteomics, and metabolomics) have been applied to systematically elucidate the complex genotypic/phenotypic changes at different levels [88], providing an amount of targeted genes or proteins that further improve cellular performance by considering the metabolic pathway in its entirety [89].…”
Section: Strain Improvement By Metabolic Engineeringmentioning
confidence: 99%
“…To address the drawbacks of mutagenesis in theory, various omics technologies (transcriptomics, proteomics, and metabolomics) have been applied to systematically elucidate the complex genotypic/phenotypic changes at different levels [88], providing an amount of targeted genes or proteins that further improve cellular performance by considering the metabolic pathway in its entirety [89].…”
Section: Strain Improvement By Metabolic Engineeringmentioning
confidence: 99%
“…The characterization of the metabolism of clostridial species and its regulation are the basis of metabolic engineering approaches on the way to high-performance strains for highly efficient industrial solvent production [ 333 ]. By applying omics technologies and metabolic modelling, our understanding of production hosts on the systems level is improved and can guide the rational strain design [ 40 , 326 , 333 ].…”
Section: Systems Biology and Genetic Engineeringmentioning
confidence: 99%
“…While GSM models can describe the general metabolic capabilities of an organism, gene expression varies depending on environmental conditions. The current metabolic phenotype can be accessed on proteome, transcriptome, and metabolome level with single- and multiomics approaches [ 285 , 333 ]. Additionally, fluxomics approaches can use GSM models to calculate and estimate metabolite fluxes.…”
Section: Systems Biology and Genetic Engineeringmentioning
confidence: 99%
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