A simple and efficient method for the preparation of GDP-fucose

Model-based optimization of cell-free enzyme cascades exemplified for the production of GDP-fucose

Cell-free production systems are increasingly used for the synthesis of industrially relevant chemicals and biopharmaceuticals. Cell-free systems often utilize cell lysates, but biocatalytic cascades based on recombinant enzymes have emerged as a promising alternative strategy. However, implementing efficient enzyme cascades is a non-trivial task and mathematical modeling and optimization has become a key tool to improve their performance. In this work, we introduce a generic framework for the model-based optimization of cell-free enzyme cascades based on a given kinetic model of the system. We first formulate and systematize seven optimization problems relevant in the context of cell-free production processes including, for example, the maximization of productivity or product yield and the minimization of overall costs. We then present an approach that accounts for parameter uncertainties, not only during model calibration and model analysis but also when performing the actual optimization. After constructing a kinetic model of the enzyme cascade, experimental data are used to generate an ensemble of kinetic parameter sets reflecting their variabilities. For every parameter set, systems optimization is then performed and the resulting solution subsequently cross-validated for all other parameterizations to identify the solution with the highest overall performance under parameter uncertainty. We exemplify our approach for the cell-free synthesis of GDP-fucose, an important sugar nucleotide with various applications. We selected and solved three optimization problems based on a constructed dynamic model and validated two of them experimentally leading to significant improvements of the process (e.g., 50% increase of titer under identical total enzyme load). Overall, our results demonstrate the potential of model-driven optimization for the rational design and improvement of cell-free production systems. The developed approach for systems optimization under parameter uncertainty could also be relevant for the metabolic design of cell factories.

Enzymatic synthesis of nucleotide sugars

The present review gives a survey on the biosynthetic pathways of nucleotide sugars which are important for the in vitro synthesis of mammalian glycoconjugates. With respect to the use of these enzymes in glycotechnology the availability as recombinant enzymes from different sources, the large-scale synthesis of nucleotide sugars and their in situ regeneration in combination with glycosyltransferases are summarized and evaluated.

GDP-L-fucose pyrophosphorylase. Purification, cDNA cloning, and properties of the enzyme

The enzyme that catalyzes the formation of GDP-L-fucose from GTP and beta-L-fucose-1-phosphate (i.e. GDP-beta-L-fucose pyrophosphorylase, GFPP) was purified about 560-fold from the cytosolic fraction of pig kidney. At this stage, there were still a number of protein bands on SDS gels, but only the 61-kDa band became specifically labeled with the photoaffinity substrate, azido-GDP-L-[32P]fucose. Several peptides from this 61-kDa band were sequenced and these sequences were used for cloning the gene. The cDNA clone yielded high levels of GFPP activity when expressed in myeloma cells and in a baculovirus system, demonstrating that the 61-kDa band is the authentic GFPP. The porcine tissue with highest specific activity for GFPP was kidney, with lung, liver, and pancreas being somewhat lower. GFPP was also found in Chinese hamster ovary, but not Madin-Darby canine kidney cells. Northern analysis showed the mRNA in human spleen, prostate, testis, ovary, small intestine, and colon. GFPP was stable at 4 (o)C in buffer containing 50 mM sucrose, with little loss of activity over a 9-day period. GTP was the best nucleoside triphosphate substrate but significant activity was also observed with ITP and to a lesser extent with ATP. The enzyme was reasonably specific for beta-L-fucose-1-P, but could also utilize alpha-D-arabinose-1-P to produce GDP-alpha-D-arabinose. The product of the reaction with GTP and alpha-L-fucose-1-P was characterized as GDP-beta-L-fucose by a variety of chemical and chromatographic methods.

Enzymatic synthesis of blood-group Lewis-specific glycolipids

A blood-group Lewis precursor glycolipid was isolated from the plasma of a Lewis-negative individual [Le(a--b--)] and treated with fucosyltransferases from human gastric mucosa and GDP-fucose. Subsequently the glycolipid was adsorbed onto Le(a--b--) erythrocytes and the presence of blood-group Lewis antigens was assessed by passive hemagglutination with anti-Lewis sera. It was shown that the precursor glycolipid was enzymatically transformed to blood-group Lewis a (Lea) and Lewis b (Leb) specific glycolipids. Leb-glycolipid was also synthesized by fucosylation of an isolated Lea-glycolipid. Moreover Le(a--b--) erythrocytes were shown to develop Lea and Leb activities when subjected to enzymatic fucosylation, thus showing that Lewis-negative cells carry blood-group Lewis precursor glycolipid on the surface of their membrane. Le(a + b--) erthrocytes, upon enzymatic fucosylation, acquired Leb activity.

Canine thyroid fucokinase

A radiometric assay was developed for fucokinase (ATP:6-deoxy-L-galactose 1-phosphotransferase, EC 2.7.1.52) based on the conversion of L-[14C]fucose to L-[14C]fucose 1-phosphate which is trapped and counted on ion exchange paper. This assay was used to detect the presence of a fucokinase in canine thyroid tissue which was subsequently purified 2754-fold over the crude tissue extracts. The product of the fucokinase was identified as the beta-anomer. The pH versus activity curve for the enzyme appears biphasic with optima at pH 6.5 and pH 8.25. The enzyme was shown to be highly specific for L-fucose with a Km of 2.6 - 10(-5) M at pH 8.25. It was shown to be absolutely specific for ATP as a phosphate donor with a Km of 6.3 - 10(-4) M at pH 8.25. The enzyme requires a divalent cation. Mg2+ is slightly more effective than Mn2+ in meeting this need. The molecular weight of the enzyme has been determined to be 494 000 +/- 12 400.