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At least 55 records · Page 3Linked to original sources
PubMed2003

Enhanced production of alpha-galactosyl epitopes by metabolically engineered Pichia pastoris.

A metabolically engineered Pichia pastoris strain was constructed that harbored three heterologous enzymes: an S11E mutated sucrose synthase from Vigna radiata, a truncated UDP-glucose C4 epimerase from Saccharomyces cerevisiae, and a truncated bovine alpha-1,3-galactosyltransferase. Each gene has its own methanol-inducible alcohol oxidase 1 promoter and transcription terminator on the chromosomal DNA of P. pastoris strain GS115. The proteins were coexpressed intracellularly under the induction of methanol. After permeabilization, the whole P. pastoris cells were used to synthesize alpha-galactosyl (alpha-Gal) trisaccharide (Galalpha1,3Galbeta1,4Glc) with in situ regeneration of UDP-galactose. Up to 28 mM alpha-Gal was accumulated in a 200-ml reaction. The Pichia system described here is simple and flexible. This work demonstrates that recombinant P. pastoris is an excellent alternative to Escherichia coli transformants in large-scale synthesis of oligosaccharides.

Animals↗
PubMed1999

Gene-expression tools for the metabolic engineering of bacteria.

Recent advances in metabolic engineering have led to new methods for the synthesis of novel molecules, improved production of existing compounds and improved degradation of recalcitrant environmental contaminants. Increasing the flux through an existing pathway and introducing a new pathway into a host organism demand coordinated expression of the genes that encode the enzymes, tight control over gene expression and consistent expression in all cells. Although several gene-expression tools have been developed for the overproduction of proteins, they may not be ideal for pathway redirection. Metabolic engineering requires certain characteristics of gene-expression tools, and some new tools meet these needs.

Base Sequence↗
PubMed2001

New experimental and theoretical tools for metabolic engineering of micro-organisms.

Presently an increasing gap is developing between our experimental capabilities in metabolic engineering of microbial metabolism and our quantitative theoretical understanding of the kinetic interaction between primary metabolism and product pathways. Such theoretical understanding is absolutely needed for a rational design of said metabolic engineering experiments and targets. To obtain such understanding in-vivo kinetic experiments and in-vivo kinetic models are needed. To this end the following new methods for in-vivo kinetic studies of Saccharomyces cerevisiae have recently been developed. The Bioscope device allows the reliable and repeated perturbation (e.g. glucose pulse, or inhibitor etc.) of steady state biomass outside the fermentor and subsequent sampling and quenching to measure glycolytical intermediates and nucleotides in a time frame of 0-70 seconds. Dynamic modelling of fermentor off-gas O2/CO2-measurements allows to calculate O2 uptake and CO2 production rates in such a perturbation experiment (0-70 seconds time windows). A new LC-MSMS based method has been developed to measure large sets of intracellular metabolites in said in-vivo kinetic experiments. It has been shown for the first time that in long chemostat cultivation (up to 800 hrs.) intracellular metabolites levels drop, showing absence of a real steady state. A new kinetic format, lin log kinetics, has been developed for describing the intracellular kinetic behavior of metabolic networks. This format allows general analytical solutions of networks flux, metabolic levels. From simulation studies it appears that this approach is remarkable accurate in describing intracellular metabolite dynamics and in metabolic design questions of where to change enzyme levels and how much to achieve a desired change in fluxes and metabolite levels. At this moment these tools are being applied in metabolic engineering studies of Saccharomyces cerevisiae and Penicillin chrysogenum.

Adenosine Triphosphate↗
PubMed2003

Proteomic changes in Escherichia coli TG1 after metabolic engineering for enhanced trichloroethene biodegradation.

Through metabolic engineering, new enzymatic pathways can be introduced into cells to enable or enhance production or biotransformation of chemicals. However, these changes have physiological consequences that can be important but are not well understood. Here we describe the use of two-dimensional gel electrophoresis (2-DE) to detect changes in the proteome of Escherichia coli cells that have been engineered to transform the pollutant trichloroethene (TCE) with the enzyme toluene o-monooxygenase (TOM). Comparison of 2-DE gels (isoelectric point range 4-7) for E. coli cells with and without the ability to synthesize TOM revealed 31 new proteins in TOM-containing cells as well as nine proteins not detected in those cells but present in the plasmid control strain. Exposure of TOM-containing cells to TCE led to the synthesis of four new proteins and the loss of only one protein. Thus, this example of metabolic engineering has a substantial and complex impact on the physiology of these cells that was clearly revealed using a proteomic approach.

Bacterial Proteins↗
PubMed2003

Metabolic engineering--a genetic toolbox for small molecule organic synthesis.

Metabolic engineering is an emerging field that exploits biosynthetic machinery as a means to genetically design small molecule production within heterologous host organisms. Molecular design and synthesis with biological tools has lagged behind total synthesis technology for about seventy-five years and owes its existence to relatively new molecular biology techniques. Here the field of metabolic engineering is explained as a comparison to total organic synthesis, including the sequence of scientific events leading up to successful implementation and future goals in the field. It is expected that metabolic engineering will take a place alongside traditional organic synthesis as a powerful means to design and create small organic molecules.

Journal Article↗
PubMed2006

Proteome changes after metabolic engineering to enhance aerobic mineralization of cis-1,2-dichloroethylene.

Metabolically engineered Escherichia coli has previously been used to degrade cis-1,2-dichloroethylene (cis-DCE). The strains express the six genes of an evolved toluene ortho-monooxygenase from Burkholderia cepacia G4 (TOM-Green, which formed a reactive epoxide) with either (1) gamma-glutamylcysteine synthetase (GSHI, which forms glutathione) and the glutathione S-transferase IsoILR1 from Rhodococcus AD45 (which adds glutathione to the reactive cis-DCE epoxide) or (2) with an evolved epoxide hydrolase from Agrobacterium radiobacter AD1 (EchA F108L/I219L/C248I which converts the reactive cis-DCE epoxide to a diol). Here, the impact of this metabolic engineering for bioremediation was assessed by investigating the changes in the proteome through a quantitative shotgun proteomics technique (iTRAQ) by tracking the changes due to the sequential addition of TOM-Green, IsoILR1, and GSHI and due to adding the evolved EchA versus the wild-type enzyme to TOM-Green. For the TOM-Green/EchA system, 8 proteins out of 268 identified proteins were differentially expressed in the strain expressing EchA F108L/I219L/C248I relative to wild-type EchA (e.g., EchA, protein chain elongation factor EF-Ts, 50S ribosomal subunits L7/L12/L32/L29, cysteine synthase A, glycerophosphodiester phosphodiesterase, iron superoxide dismutase). For the TOM-Green/IsoILR1/GSHI system, the expression level of 49 proteins was changed out of 364 identified proteins. The induced proteins due to the addition of TOM-Green, IsoILR1, and GSHI were involved in the oxidative defense mechanism, pyruvate metabolism, and glutathione synthesis (e.g., 30S ribosomal subunit proteins S3 and S16, 50S ribosomal subunit protein L20, alkyl hydroperoxide reductase, lactate dehydrogenase, acetate kinase, cysteine synthase A). Enzymes involved in indole synthesis, fatty acid synthesis, gluconeogenesis, and the tricarboxylic acid cycle were repressed (e.g., tryptophanase, acetyl-CoA carboxylase, phosphoenolpyruvate carboxykinase, malate dehydrogenase). Hence, the metabolic engineering that leads to enhanced aerobic degradation of 1 mM cis-DCE (2.4-4-fold more chloride ions released) and reduced toxicity from cis-DCE epoxide results in enhanced synthesis of glutathione coupled with an induced stress response as well as repression of fatty acid synthesis, gluconeogenesis, and the tricarboxylic acid cycle.

Aerobiosis↗
PubMed2002

Modeling and simulation: tools for metabolic engineering.

Mathematical modeling is one of the key methodologies of metabolic engineering. Based on a given metabolic model different computational tools for the simulation, data evaluation, systems analysis, prediction, design and optimization of metabolic systems have been developed. The currently used metabolic modeling approaches can be subdivided into structural models, stoichiometric models, carbon flux models, stationary and nonstationary mechanistic models and models with gene regulation. However, the power of a model strongly depends on its basic modeling assumptions, the simplifications made and the data sources used. Model validation turns out to be particularly difficult for metabolic systems. The different modeling approaches are critically reviewed with respect to their potential and benefits for the metabolic engineering cycle. Several tools that have emerged from the different modeling approaches including structural pathway synthesis, stoichiometric pathway analysis, metabolic flux analysis, metabolic control analysis, optimization of regulatory architectures and the evaluation of rapid sampling experiments are discussed.

Biomedical Engineering↗
PubMed2004

Impact of 'ome' analyses on inverse metabolic engineering.

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.

Animals↗
PubMedDate not supplied

Design of metabolic engineering strategies for maximizing L-(-)-carnitine production by Escherichia coli. Integration of the metabolic and bioreactor levels.

In this work metabolic engineering strategies for maximizing L-(-)-carnitine production by Escherichia coli based on the Biochemical System Theory and the Indirect Optimization Method are presented. The model integrates the metabolic and the bioreactor levels using power-law formalism. Based on the S-system model, the Indirect Optimization Method was applied, leading to profiles of parameter values that are compatible with both the physiology of the cells and the bioreactor system operating conditions. This guarantees their viability and fitness and yields higher rates of L-(-)-carnitine production. Experimental results using a high cell density reactor were compared with optimized predictions from the Indirect Optimization Method. When two parameters (the dilution rate and the initial crotonobetaine concentration) were directly changed in the real experimental system to the prescribed optimum values, the system showed better performance in L-(-)-carnitine production (74% increase in production rate), in close agreement with the model's predictions. The model shows control points at macroscopic (reactor operation) and microscopic (molecular) levels where conversion and productivity can be increased. In accordance with the optimized solution, the next logical step to improve the L-(-)-carnitine production rate will involve metabolic engineering of the E. coli strain by overexpressing the carnitine transferase, CaiB, activity and the protein carrier, CaiT, responsible for substrate and product transport in and out of the cell. By this means it is predicted production may be enhanced by up to three times the original value.

Biomass↗
PubMed1991

Toward a science of metabolic engineering.

Application of recombinant DNA methods to restructure metabolic networks can improve production of metabolite and protein products by altering pathway distributions and rates. Recruitment of heterologous proteins enables extension of existing pathways to obtain new chemical products, alter posttranslational protein processing, and degrade recalcitrant wastes. Although some of the experimental and mathematical tools required for rational metabolic engineering are available, complex cellular responses to genetic perturbations can complicate predictive design.

Amino Acids↗
PubMed2002

Metabolic engineering of lactic acid bacteria for the production of nutraceuticals.

Lactic acid bacteria display a relatively simple and well-described metabolism where the sugar source is converted mainly to lactic acid. Here we will shortly describe metabolic engineering strategies on the level of sugar metabolism, that lead to either the efficient re-routing of the lactococcal sugar metabolism to nutritional end-products other than lactic acid such as L-alanine, several low-calorie sugars and oligosaccharides or to enhancement of sugar metabolism for complete removal of (undesirable) sugars from food materials. Moreover, we will review current metabolic engineering approaches that aim at increasing the flux through complex biosynthetic pathways, leading to the production of the B-vitamins folate and riboflavin. An overview of these metabolic engineering activities can be found on the website of the Nutra Cells 5th Framework EU-project (www.nutracells.com). Finally, the impact of the developments in the area of genomics and corresponding high-throughput technologies on nutraceutical production will be discussed.

Fermentation↗
PubMed2001

Reflections on the scope and the future of metabolic engineering and its connections to functional genomics and drug discovery.

Concepts, experience, and tools from metabolic engineering are immediately applicable to the challenge of understanding how the genome influences phenotype. However, new experimental approaches and mathematical and computational resources are needed to maximize the contributions of metabolic engineering to general questions in functional genomics. Among the priorities are systems for studying physiology on a microscale, theoretical tools for understanding biological control systems, and metabolic simulators "in silico" which provide reasonable predictions of stimulus-response relationships at engineering and medical resolution, with incomplete information on cellular mechanisms and their parameters. Approaching cells as complex systems, already a well-established principle in metabolic engineering, is essential to surmount stagnation in the rate of pharmaceutical discovery which is still based on a naive single-target paradigm.

Cells, Cultured↗
PubMed2004

Metabolite profiling as an aid to metabolic engineering in plants.

The past decade has seen some impressive successes in the metabolic engineering of biotechnologically important plant pathways. However, plant metabolic engineering currently proceeds more by trial and error than by intelligent system design. A change in philosophy away from studying pathways in isolation and towards studying metabolism as a network is necessary. To support this development, improvements in technologies for metabolic analysis, a wider adoption of metabolite-profiling approaches and significant innovations in data analysis methodologies are required.

Biotechnology↗
PubMed2003

Metabolic engineering: advances in modeling and intervention in health and disease.

The field of metabolic engineering encompasses a powerful set of tools that can be divided into (a) methods to model complex metabolic pathways and (b) techniques to manipulate these pathways for a desired metabolic outcome. These tools have recently seen increased utility in the medical arena, and this paper aims to review significant accomplishments made using these approaches. The modeling of metabolic pathways has been applied to better understand disease-state physiology in a variety of cellar, subcellular, and organ systems, including the liver, heart, mitochondria, and cancerous cells. Metabolic pathway engineering has been used to generate cells with novel biochemical functions for therapeutic use, and specific examples are provided in the areas of glycosylation engineering and dopamine-replacement therapy. In order to document the potential of applying both metabolic modeling and pathway manipulation, we describe pertinent advances in the field of diabetes research. Undoubtedly, as the field of metabolic engineering matures and is applied to a wider array of problems, new advances and therapeutic strategies will follow.

Computer Simulation↗
PubMed1998

Cofactor engineering: a novel approach to metabolic engineering in Lactococcus lactis by controlled expression of NADH oxidase.

NADH oxidase-overproducing Lactococcus lactis strains were constructed by cloning the Streptococcus mutans nox-2 gene, which encodes the H2O-forming NADH oxidase, on the plasmid vector pNZ8020 under the control of the L. lactis nisA promoter. This engineered system allowed a nisin-controlled 150-fold overproduction of NADH oxidase at pH 7.0, resulting in decreased NADH/NAD ratios under aerobic conditions. Deliberate variations on NADH oxidase activity provoked a shift from homolactic to mixed-acid fermentation during aerobic glucose catabolism. The magnitude of this shift was directly dependent on the level of NADH oxidase overproduced. At an initial growth pH of 6.0, smaller amounts of nisin were required to optimize NADH oxidase overproduction, but maximum NADH oxidase activity was twofold lower than that found at pH 7.0. Nonetheless at the highest induction levels, levels of pyruvate flux redistribution were almost identical at both initial pH values. Pyruvate was mostly converted to acetoin or diacetyl via alpha-acetolactate synthase instead of lactate and was not converted to acetate due to flux limitation through pyruvate dehydrogenase. The activity of the overproduced NADH oxidase could be increased with exogenously added flavin adenine dinucleotide. Under these conditions, lactate production was completely absent. Lactate dehydrogenase remained active under all conditions, indicating that the observed metabolic effects were only due to removal of the reduced cofactor. These results indicate that the observed shift from homolactic to mixed-acid fermentation under aerobic conditions is mainly modulated by the level of NADH oxidation resulting in low NADH/NAD+ ratios in the cells.

Acetoin↗
PubMed2004

Inverse metabolic engineering with phosphagen kinase systems improves the cellular energy state.

Inverse metabolic engineering attempts to identify or construct desired phenotypes of applied interest to endow them on appropriate host organisms. A particular desirable phenotype is the ATP homeostasis exhibited by animal cells with high and variable ATP turnover through temporal and spatial energy buffering. This buffering is achieved by phosphagen kinase systems that consist of a specific kinase and its cognate phosphagen, which functions as a large pool of 'high-energy phosphates' that are used to replenish ATP during periods of high energetic demand. This review discusses recent advances and potentials of inverse metabolic engineering of cell types that do not normally contain such systems--bacteria, yeast, plants, and liver--with creatine or arginine kinase systems. Examples are discussed that illustrate how microbial metabolism can be tailored for large-scale industrial processes with imperfect mixing and how the liver can be protected from metabolic insults or stimulated for better regeneration.

Adenosine Triphosphate↗
PubMed1999

Homofermentative production of D- or L-lactate in metabolically engineered Escherichia coli RR1.

We investigated metabolic engineering of fermentation pathways in Escherichia coli for production of optically pure D- or L-lactate. Several pta mutant strains were examined, and a pta mutant of E. coli RR1 which was deficient in the phosphotransacetylase of the Pta-AckA pathway was found to metabolize glucose to D-lactate and to produce a small amount of succinate by-product under anaerobic conditions. An additional mutation in ppc made the mutant produce D-lactate like a homofermentative lactic acid bacterium. When the pta ppc double mutant was grown to higher biomass concentrations under aerobic conditions before it shifted to the anaerobic phase of D-lactate production, more than 62.2 g of D-lactate per liter was produced in 60 h, and the volumetric productivity was 1.04 g/liter/h. To examine whether the blocked acetate flux could be reoriented to a nonindigenous L-lactate pathway, an L-lactate dehydrogenase gene from Lactobacillus casei was introduced into a pta ldhA strain which lacked phosphotransacetylase and D-lactate dehydrogenase. This recombinant strain was able to metabolize glucose to L-lactate as the major fermentation product, and up to 45 g of L-lactate per liter was produced in 67 h. These results demonstrate that the central fermentation metabolism of E. coli can be reoriented to the production of D-lactate, an indigenous fermentation product, or to the production of L-lactate, a nonindigenous fermentation product.

Acetate Kinase↗