Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol.

By H. Yim, R. Haselbeck, Wei Niu, Catherine J. Pujol-Baxley, Anthony P. Burgard, J. Boldt, J. Khandurina, J. Trawick, R. Osterhout, R. Stephen and 8 more. Nature Chemical Biology, 2011

1,079 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e6be192bea4c4a1f02edeeefc03971e8c1ced37c

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Citations in the corpus

Engineering Cellular Metabolism (2008, positive): “…bacteria, E. coli has a more hierarchical TF network structure (Yu and Gerstein, 2006), making it easier to redirect carbon fluxes to overproduce a specific molecule (Chen et al., 2013a), with two prominent examples being 1,4-butanediol (Yim et al., 2011) and short alkanes (Choi and Lee, 2013).”
Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli (2013, background): “The researchers were able to rewire the host cell to produce the compound via native and nonnative pathways by ensuring that the production of 1,4-butanediol was the only means by which the host cell could maintain a redox balance and grow anaerobically (Yim et al , 2011).”
eQuilibrator—the biochemical thermodynamics calculator (2011, background): “For example, recent work engineering Escherichia coli for 1,4-butanediol production leveraged thermodynamic analysis to highlight the most promising candidate pathways and to eliminate those unlikely to flow to 1,4-butanediol (7).”
Efficient searching and annotation of metabolic networks using chemical similarity (2015, background): “The pathways shown are tryptophan synthesis (Trp), the MEP pathway, glycolysis (EMP), uridinyl synthesis (UMP), a synthetic 1,4-butane-diol pathway (BDO) (Yim et al. , 2011), and caffeine synthesis (Caf).”
Using Genome-Scale Models to Predict Biological Capabilities (2015, positive): “…2013; Oberhardt et al., 2009) and therefore enabled a variety of applications such as metabolic engineering for the over-production of biochemicals (Yim et al., 2011; Adkins et al., 2012), identiﬁcation of anti-microbial drug targets (Kim et al., 2011), and the elucidation of cell-cell…”
Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods (2012, methodology): “The concept of designing strains that couple a product to a defined selective pressure is intriguing, and a few COBRA-based in silico predictions have in fact been implemented in vivo 67,77 .”
Multigene Editing in the Escherichia coli Genome via the CRISPR-Cas9 System (2015, background): “Metabolic engineering is widely applied to modify Escherichia coli to produce industrially relevant biofuels or biochemicals, including ethanol (1), higher alcohols (2), fatty acids (3), amino acids (4), shikimate precursors (5), terpenoids (6), polyketides (7), and polymeric precursors of 1,4-butan”