Synthesis of selected unnatural sugar nucleotides for biotechnological applications

Enzyme cascades for high-yield conversion of d-xylose into d-ribose by overcoming equilibrium constraints and enhancing selectivity

d-Ribose is essential for critical cellular functions and the synthesis of antiviral nucleosides. However, traditional chemical synthesis and fermentation methods of d-ribose production suffer from low yields and inefficient resource utilization. Here, we present a highly efficient enzymatic cascade strategy that utilizes selective phosphorylation and dephosphorylation processes, coupled with ATP regeneration to convert d-xylose into d-ribose with high yield. By optimizing this enzyme cascade, we achieved a substantial increase in d-ribose yield from 23.4 % to 93.5 % mol/mol, effectively overcoming the equilibrium limitations of sugar conversion processes. Notably, our approach allows for the selective conversion of d-xylose to d-ribose in lignocellulosic hydrolysates, even in the presence of d-glucose. This work demonstrates the highly efficient enzymatic conversion of d-xylose into d-ribose offering a competitive alternative to existing chemical synthesis methods. Our findings provide a novel approach to cellulosic biomass valorization and represent a significant contribution to the field of biorefinery.

Enzymatic Routes to Designer Hemicelluloses for Use in Biobased Materials

Various enzymes can be used to modify the structure of hemicelluloses directly in vivo or following extraction from biomass sources, such as wood and agricultural residues. Generally, these enzymes can contribute to designer hemicelluloses through four main strategies: (1) enzymatic hydrolysis such as selective removal of side groups by glycoside hydrolases (GH) and carbohydrate esterases (CE), (2) enzymatic cross-linking, for instance, the selective addition of side groups by glycosyltransferases (GT) with activated sugars, (3) enzymatic polymerization by glycosynthases (GS) with activated glycosyl donors or transglycosylation, and (4) enzymatic functionalization, particularly via oxidation by carbohydrate oxidoreductases and via amination by amine transaminases. Thus, this Perspective will first highlight enzymes that play a role in regulating the degree of polymerization and side group composition of hemicelluloses, and subsequently, it will explore enzymes that enhance cross-linking capabilities and incorporate novel chemical functionalities into saccharide structures. These enzymatic routes offer a precise way to tailor the properties of hemicelluloses for specific applications in biobased materials, contributing to the development of renewable alternatives to conventional materials derived from fossil fuels.

Soft-sensor model development for CHO growth/production, intracellular metabolite, and glycan predictions

Efficaciously assessing product quality remains time- and resource-intensive. Online Process Analytical Technologies (PATs), encompassing real-time monitoring tools and soft-sensor models, are indispensable for understanding process effects and real-time product quality. This research study evaluated three modeling approaches for predicting CHO cell growth and production, metabolites (extracellular, nucleotide sugar donors (NSD) and glycan profiles): Mechanistic based on first principle Michaelis-Menten kinetics (MMK), data-driven orthogonal partial least square (OPLS) and neural network machine learning (NN). Our experimental design involved galactose-fed batch cultures. MMK excelled in predicting growth and production, demonstrating its reliability in these aspects and reducing the data burden by requiring fewer inputs. However, it was less precise in simulating glycan profiles and intracellular metabolite trends. In contrast, NN and OPLS performed better for predicting precise glycan compositions but displayed shortcomings in accurately predicting growth and production. We utilized time in the training set to address NN and OPLS extrapolation challenges. OPLS and NN models demanded more extensive inputs with similar intracellular metabolite trend prediction. However, there was a significant reduction in time required to develop these two models. The guidance presented here can provide valuable insight into rapid development and application of soft-sensor models with PATs for ipurposes. Therefore, we examined three model typesmproving real-time product CHO therapeutic product quality. Coupled with emerging -omics technologies, NN and OPLS will benefit from massive data availability, and we foresee more robust prediction models that can be advantageous to kinetic or partial-kinetic (hybrid) models.

Process Development for the Enzymatic Gram-Scale Production of the Unnatural Nucleotide Sugar UDP-6-Azido-GalNAc

Azido sugars hold great promise as substrates in numerous click-chemistry applications. However, the synthesis of activated azido sugars is limited by cost and complexity. Conventional chemical activation methods are intricate and time-consuming. In response, we have developed a process for the large-scale production of UDP-6-azido-GalNAc through enzymatic nucleotide sugar synthesis on a gram scale. Our optimization strategies encompassed refining the process parameters of an enzyme cascade featuring NahK from Bifidobacterium longum and AGX1 from Homo sapiens. Using the repetitive-batch-mode technology, we synthesized up to 2.1 g of UDP-6-azido-GalNAc, achieving yields up to 97 % in five consecutive batch cycles using a single enzyme batch. The synthesis process demonstrated to have total turnover numbers (TTNs) between 4.4-4.8 g of product per gram of enzyme (gP/gE) and STYs ranging from 1.7-2.4 g per liter per hour (g*L-1*h-1). By purification of a product solution pool containing 2.6 g (4.1 mmol) UDP-6-azido-GalNAc, 2.1 g (2,122.1 mg) UDP-6-azido-GalNAc (sodium salt) with a purity of 99.96 % (HPLC) were obtained. The overall recovery after purification was 81 % (3.32 mmol). Our work establishes a robust production platform for the gram-scale synthesis of unnatural nucleotide sugars, opening new avenues for applications in glycan engineering.

Chemoenzymatic Synthesis of Keratan Sulfate Oligosaccharides Using UDP-Galactose-6-aldehyde To Control Sulfation at Galactosides

Keratan sulfate (KS) is a highly complex proteoglycan that has a poly-LacNAc chain that can be modified by diverse patterns of sulfate esters at C-6 positions of galactoside (Gal) and N-acetylglucosamine (GlcNAc) residues. Here, a chemo-enzymatic methodology is described that can control the pattern of sulfation at Gal using UDP-Gal-aldehyde as a donor for poly-LacNAc assembly to temporarily block specific sites from sulfation by galactose 6-sulfotransferase (CHST1).

Enzyme-mediated green synthesis of glycosaminoglycans and catalytic process intensification

Glycosaminoglycans (GAGs) are a family of structurally complex heteropolysaccharides that play pivotal roles in biological functions, including the regulation of cell proliferation, enzyme inhibition, and activation of growth factor receptors. Therefore, the synthesis of GAGs is a hot research topic in drug development. The enzymatic synthesis of GAGs has received widespread attention due to their eco-friendly nature, high regioselectivity, and stereoselectivity. The enhancement of the enzymatic synthesis process is the key to its industrial applications. In this review, we overviewed the construction of more efficient in vitro biomimetic synthesis systems of glycosaminoglycans and presented the different strategies to improve enzyme catalysis, including the combination of chemical and enzymatic methods, solid-phase synthesis, and protein engineering to solve the problems of enzyme stability, separation and purification of the product, preparation of structurally defined sugar chains, etc., and discussed the challenges and opportunities in large-scale green synthesis of GAGs.

Protein O-GlcNAcylation impairment caused by N-acetylglucosamine phosphate mutase deficiency leads to growth variations in Arabidopsis thaliana

As an essential enzyme in the uridine diphosphate (UDP)-GlcNAc biosynthesis pathway, the significant role of N-acetylglucosamine phosphate mutase (AGM) remains unknown in plants. In the present study, a functional plant AGM (AtAGM) was identified from Arabidopsis thaliana. AtAGM catalyzes the isomerization of GlcNAc-1-P and GlcNAc-6-P, and has broad catalytic activity on different phosphohexoses. UDP-GlcNAc contents were significantly decreased in AtAGM T-DNA insertional mutants, which caused temperature-dependent growth defects in seedlings and vigorous growth in adult plants. Further analysis revealed that protein O-GlcNAcylation but not N-glycosylation was dramatically impaired in Atagm mutants due to UDP-GlcNAc shortage. Combined with the results from O-GlcNAcylation or N-glycosylation deficient mutants, and O-GlcNAcase inhibitor all suggested that protein O-GlcNAcylation impairment mainly leads to the phenotypic variations of Atagm plants. In conclusion, based on the essential role in UDP-GlcNAc biosynthesis, AtAGM is important for plant growth mainly via protein O-GlcNAcylation-level regulation.

Chemical Synthesis of a Keto Sugar Nucleotide

Keto sugar nucleotides (KSNs) are common and versatile precursors to various deoxy sugar nucleotides, which are substrates for the corresponding glycosyltransferases involved in the biosynthesis of glycoproteins, glycolipids, and natural products. However, there has been no KSN synthesized chemically due to the inherent instability. Herein, the first chemical synthesis of the archetypal KSN TDP-4-keto-6-deoxy-d-glucose (1) is achieved by an efficient and optimized route, providing feasible access to other KSNs and analogues, thereby opening a new avenue for new applications.

Expanding the Substrate Scope of a Bacterial Nucleotidyltransferase via Allosteric Mutations

Bacterial glycoconjugates, such as cell surface polysaccharides and glycoproteins, play important roles in cellular interactions and survival. Enzymes called nucleotidyltransferases use sugar-1-phosphates and nucleoside triphosphates (NTPs) to produce nucleoside diphosphate sugars (NDP-sugars), which serve as building blocks for most glycoconjugates. Research spanning several decades has shown that some bacterial nucleotidyltransferases have broad substrate tolerance and can be exploited to produce a variety of NDP-sugars in vitro. While these enzymes are known to be allosterically regulated by NDP-sugars and their fragments, much work has focused on the effect of active site mutations alone. Here, we show that rational mutations in the allosteric site of the nucleotidyltransferase RmlA lead to expanded substrate tolerance and improvements in catalytic activity that can be explained by subtle changes in quaternary structure and interactions with ligands. These observations will help inform future studies on the directed biosynthesis of diverse bacterial NDP-sugars and downstream glycoconjugates.

Fabricating Bimetal Organic Material Capsules with a Commodious Microenvironment and Synergistic Effect for Glycosyltransferase

Metal-organic frameworks (MOFs) are rarely applied as solid supports in the enzymatic synthesis of oligosaccharides and polysaccharides, as glycosyltransferases are readily inactivated by traditional MOFs due to the poor compatibility and the limited mass transfer for complex carbohydrates in MOFs. Here, on the basis of the synthetic methods of zeolitic imidazolate framework-90 (ZIF-90), we prepared bimetal organic material (BMOM) microreactors that successfully encapsulated Pasteurella multocida heparosan synthase 2 (PmHS2), a critical glycosyltransferase in the enzymatic synthesis of heparin and heparan sulfate. The second metal ion introduced can increase the mesopores in the BMOM, stabilize the active pocket of glycosyltransferase, and facilitate the deprotonation of critical amino acid residues, Asp and Glu of PmHS2, to initiate the catalyzation. On the basis of this bimetallic microreactor, heparosan disaccharide, oligosaccharide, and polysaccharide are successfully prepared in quantitative yield, providing a viable BMOM-based immobilization strategy to simulate the physiological microenvironment for glycosyltransferase.