Optimal production of glutathione by controlling the specific growth rate of yeast in fed-batch culture

The optimal of the specific growth rate was obtained with simple mathematical model in a yeast fed-batch cultures. The model was based on the mass balance around the fed-batch system and the relationship between the specific growth rate, mu, and the specific production rate of glutathione, rho(G). The optimal profile of mu was calculated as a bang-bang type, That is mu, should start from the maximum value, mu(max) and should be kept at mu(max); then mu should be switched to mu(c), which gives a maximum value of rho(G). It was proven from the maximum principle that switching was needed only once, with the switching time from mu(max) to mu(c) depending on the final required glutathione content. Finally, this ideal profile of mu for the maximum production of glutathione was realized by manipulating the substrates feed rate in the fed-batch culture. Using the extended Kalman filter and a programmed-controller/feedback-compensator (PF) system, mu could be controlled at the optimal profile obtained. As a result, the maximum production of glutathione was accomplished fairly successfully. However, further improvement in the controller performance for mu is desired. The control strategy employed here can be applied to other batch reaction processes.     

Biosynthesis of triterpenoids from amino acids in Pisum sativum. The distribution of the radioactivity in squalene biosynthesized from radioisotopically labelled l-leucine and l-valine

Radioisotopically labelled l-leucine and l-valine were fed to Pisum sativum and incorporated into squalene and β-amyrin. Chemical degradation of the radioactive squalene revealed an equal distribution of the radioactivity in the isopentenyl pyrophosphate(IPP)-derived and the 3,3-dimethylallyl pyrophosphate(DMAPP)-derived moieties of the squalene molecule, unlike the unbalanced distribution in favour of the DMAPP-derived moiety of a monoterpenoid molecule biosynthesized from these amino acids by higher plants.     

Histochemical Demonstration of Enzyme Activities in Plastic and Paraffin Embedded Tissue Sections

Histochemical staining for enzymes is usually performed on frozen sections. This report lists the longer incubation times required to demonstrate esterase, acid phosphatase, β-galactosidase, and cytochrome oxidase in plastic embedded and routine paraffin embedded tissues. The sections embedded in plastic, i.e. water soluble methacrylate (Polyscience's JB-4) and cut at 2 μm, were far superior to frozen Sections and paraffin embedded sections both in tissue detail and in the localization of the histochemical reaction product.     

Triterpenoid saponins from Fatsia japonica

Five triterpenoid saponins isolated from the flowers, the mature fruits and the leaves of Fatsia japonica were identified as 3-O-[β-d-glucopyranosyl(1→4)-β-d-glucopyranosyl]-hederagenin (1), 3-O-[β-d-glucopyranosyl-(1→4)-α-l-arabinopyranosyl]-oleanolic acid (2), 3-O-[α-l-arabinopyranosyl]-hederagenin (3), 3-O-[β-d-glucopyranosyl]-hederagenin (4) and 3-O-[β-d-glucopyranosyl(1→4)-α-l-arabinopyranosyl]-hederagenin (5). The saponins 1 and 2 are new, naturally occurring, triterpenoid saponins. The distribution of the five saponins in three parts of the plant was investigated. Saponins 2, 3 and 5 were present in the flowers, saponins 1, 3, 4 and 5 were in the mature fruits and saponins 2, 3, 4 and 5 were in the leaves.     

Studies on peroxisomes. VI. Relationship between the peroxisomal core and urate oxidase.

The peroxisomal core from the liver of rats was purified 450-fold as a marker of urate oxidase [EC 1.7.3.3.] activity. This preparation has a high specific activity of urate oxidase but not of other peroxisomal enzymes: D-amino acid oxidase [EC 1.4.3.3.], L-alpha-hydroxy acid oxidase [EC 1.1.3.15], or catalase [EC 1.11.1.6]. No activity of marker enzymes for other subcellular particles; cytochrome c oxidase [EC1.9.3.1] (mitochondria), acid phosphatase [EC 3.1.3.2] (lysosomes), or glucose-6-phosphatase [EC 3.1.3.9] (microsomes), was detected in this preparation. The core obtained showed a single protein band in sodium dodecyl sulfate-polyacrylamide gel electrophoresis and the position of the band was found to correspond to a molecular weight 35,000. When the peroxisomal core was subjected to treatment at various pH's with 0.1 M carbonate buffer, urate oxidase was almost completely solubulized at pH 11.0, although approximately 35% of the core protein still remained in the pellet After solubilization of the core at pH 11.0, the specific activity of urate oxidase in the supernatant increased about 1.6 times; the density of the insoluble protein remaining in the pellet was identical with the that of the original core on sucrose density gradient centrifugation.     

Molecular docking analysis of compounds from Justica adhatoda L with glycogen synthase kinase-3 β

Type 2 diabetes mellitus (T2DM) is linked with Glycogen synthase kinase-3 β.Therefore, it is ofinterest to document molecular docking analysis data of compounds from Justica adhatoda L with glycogen synthase kinase-3 β. We report the binding features of ethambutol, pyrazinamide, stigmasterol and vasicoline with GSK-3 β.     

Mass Isotopomer Analysis of Metabolically Labeled Nucleotide Sugars and N- and O-Glycans for Tracing Nucleotide Sugar Metabolisms

Nucleotide sugars are the donor substrates of various glycosyltransferases, and an important building block in N- and O-glycan biosynthesis. Their intercellular concentrations are regulated by cellular metabolic states including diseases such as cancer and diabetes. To investigate the fate of UDP-GlcNAc, we developed a tracing method for UDP-GlcNAc synthesis and use, and GlcNAc utilization using ¹³C₆-glucose and ¹³C₂-glucosamine, respectively, followed by the analysis of mass isotopomers using LC-MS.Metabolic labeling of cultured cells with ¹³C₆-glucose and the analysis of isotopomers of UDP-HexNAc (UDP-GlcNAc plus UDP-GalNAc) and CMP-NeuAc revealed the relative contributions of metabolic pathways leading to UDP-GlcNAc synthesis and use. In pancreatic insulinoma cells, the labeling efficiency of a ¹³C₆-glucose motif in CMP-NeuAc was lower compared with that in hepatoma cells.Using ¹³C₂-glucosamine, the diversity of the labeling efficiency was observed in each sugar residue of N- and O-glycans on the basis of isotopomer analysis. In the insulinoma cells, the low labeling efficiencies were found for sialic acids as well as tri- and tetra-sialo N-glycans, whereas asialo N-glycans were found to be abundant. Essentially no significant difference in secreted hyaluronic acids was found among hepatoma and insulinoma cell lines. This indicates that metabolic flows are responsible for the low sialylation in the insulinoma cells. Our strategy should be useful for systematically tracing each stage of cellular GlcNAc metabolism.Protein glycosylation, which is the most abundant post-translational modification, has important roles in many biological processes by modulating conformation and stability, whereas its dysregulation is associated with various diseases such as diabetes and cancer (1, 2). Glycosylation is regulated by various factors including glucose metabolism, the availability and localization of nucleotide sugars, and the expression and localization of glycosyltransferases (3, 4). Thus, ideally all of these components should be considered when detecting changes in a dynamic fashion; namely, it is necessary not only to take a snapshot but also to make movies of the dynamic changes in glycan metabolism.Glucose is used by living cells as an energy source via the glycolytic pathway as well as a carbon source for various metabolites including nucleotide sugars (e.g. UDP-GlcNAc and CMP-NeuAc). These nucleotide sugars are transported into the Golgi apparatus, and added to various glycans on proteins. UDP-GlcNAc is the donor substrate for N-acetylglucosaminyl (GlcNAc)¹ transferases; alternatively, it is used in the cytosol for O-GlcNAc modification (i.e. O-GlcNAcylation) of intracellular proteins (5). The UDP-GlcNAc synthetic pathway is complex as it is a converging point of glucose, nucleotide, fatty acid and amino acid metabolic pathways. Thus, the metabolic flow of glucose modulates the branching patterns of N-glycans via UDP-GlcNAc concentrations because many of the key GlcNAc transferases that determine the branching patterns have widely different K_m values for UDP-GlcNAc ranging from 0.04 mm to 11 mm (6, 7). Indeed, it was demonstrated that the branching formation of N-glycans in T cells is stimulated by the supply from the hexosamine pathway, whereby it regulates autoimmune reactions promoted by T cells (8).UDP-GlcNAc is also used for the synthesis of CMP-NeuAc, the donor substrate for sialyltransferases (9). The CMP-NeuAc concentration is controlled by the feedback inhibition of UDP-GlcNAc epimerase/ManNAc kinase by the final product CMP-NeuAc, and hence a high CMP-NeuAc level reduces metabolic flow in CMP-NeuAc de novo synthesis (10). However, there is still only limited information about how the levels of nucleotide sugars dynamically change in response to the environmental cues, and how such changes are reflected in the glycosylation of proteins.Stable isotope labeling is a promising approach to quantify metabolic changes in response to external cues (11, 12). For example, the use of nuclear magnetic resonance to obtain isotopomer signals of metabolically labeled molecules has been applied to trace the flux in glycolysis and fatty acid metabolism (13). An approach based on the mass isotopomers of labeled metabolites with ¹³C₆-glucose has been developed to monitor the UDP-GlcNAc synthetic pathway (13–15). The method based on the labeling ratio of each metabolite related to UDP-GlcNAc synthesis has clarified the contribution of each metabolic pathway (14). Moseley reported a novel deconvolution method for modeling UDP-GlcNAc mass isotopomers (15).Previous studies into the use of nucleotide sugars in glycosylation have relied on the specific detection of metabolically radiolabeled glycans (16). It is possible not only to deduce the glycan structures but also to trace their relative contributions to glycan synthesis without MS. On the other hand, mass isotopomer analysis of glycans labeled with stable isotope provides the ratios of labeled versus unlabeled molecules from MS spectra and structural details of the glycans. However, there are only a limited number of publications reporting the application of stable isotope labeling of glycans for monitoring the dynamics of glycans (17). To date, there have been no reports describing a systematic method for tracing cellular GlcNAc biosynthesis and use based on mass isotopomer analysis.The aim of this study was to extend our knowledge of the synthesis and metabolism of UDP-GlcNAc as well as its use in the synthesis of CMP-NeuAc, N- and O-glycans. We recently developed a conventional HPLC method for simultaneous determination of nucleotide sugars including unstable CMP-NeuAc (18). We first established an LC-MS method for isotopomer analysis of ¹³C₆-glucose labeled nucleotide sugars for tracing UDP-GlcNAc metabolism from synthesis to use, because previous methods were not suitable for estimating UDP-GlcNAc use in CMP-NeuAc de novo synthesis (15). We also established a method for isotopomer analysis of labeled N- and O-glycan to monitor the metabolic flow of hexosamine into glycans. Using these two methods, we demonstrated the differences in the use of hexosamines between hepatoma and pancreatic insulinoma cell lines. Our approach may be useful for identifying a metabolic “bottleneck” that governs the turnover speed and patterns of cellular glycosylation, which may be relevant for various applications including glycoprotein engineering and discovery of disease biomarkers.