1
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Crowe S, Liu Y, Zhao X, Scheller HV, Keasling JD. Advances in Engineering Nucleotide Sugar Metabolism for Natural Product Glycosylation in Saccharomyces cerevisiae. ACS Synth Biol 2024; 13:1589-1599. [PMID: 38820348 PMCID: PMC11197093 DOI: 10.1021/acssynbio.3c00737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/13/2024] [Accepted: 05/20/2024] [Indexed: 06/02/2024]
Abstract
Glycosylation is a ubiquitous modification present across all of biology, affecting many things such as physicochemical properties, cellular recognition, subcellular localization, and immunogenicity. Nucleotide sugars are important precursors needed to study glycosylation and produce glycosylated products. Saccharomyces cerevisiae is a potentially powerful platform for producing glycosylated biomolecules, but it lacks nucleotide sugar diversity. Nucleotide sugar metabolism is complex, and understanding how to engineer it will be necessary to both access and study heterologous glycosylations found across biology. This review overviews the potential challenges with engineering nucleotide sugar metabolism in yeast from the salvage pathways that convert free sugars to their associated UDP-sugars to de novo synthesis where nucleotide sugars are interconverted through a complex metabolic network with governing feedback mechanisms. Finally, recent examples of engineering complex glycosylation of small molecules in S. cerevisiae are explored and assessed.
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Affiliation(s)
- Samantha
A. Crowe
- Department
of Chemical & Biomolecular Engineering, University of California, Berkeley, California 94720, United States
- California
Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint
BioEnergy Institute, Emeryville, California 94608, United States
| | - Yuzhong Liu
- California
Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint
BioEnergy Institute, Emeryville, California 94608, United States
| | - Xixi Zhao
- California
Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint
BioEnergy Institute, Emeryville, California 94608, United States
| | - Henrik V. Scheller
- Joint
BioEnergy Institute, Emeryville, California 94608, United States
- Environmental
Genomics and Systems Biology Division, Lawrence
Berkeley National Laboratory, Berkeley, California 94720, United States
- Department
of Plant and Microbial Biology, University
of California, Berkeley, California 94720, United States
| | - Jay D. Keasling
- Department
of Chemical & Biomolecular Engineering, University of California, Berkeley, California 94720, United States
- California
Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint
BioEnergy Institute, Emeryville, California 94608, United States
- Department
of Bioengineering, University of California, Berkeley, California 94720, United States
- Division
of Biological Systems and Engineering, Lawrence
Berkeley National Laboratory, Berkeley, California 94720, United States
- Center
for Biosustainability, Technical University
of Denmark, 2800 Kongens Lyngby, Denmark
- Center
for Synthetic Biochemistry, Shenzhen Institute
of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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2
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He X, Zhao L, Tian Y, Li R, Chu Q, Gu Z, Zheng M, Wang Y, Li S, Jiang H, Jiang Y, Wen L, Wang D, Cheng X. Highly accurate carbohydrate-binding site prediction with DeepGlycanSite. Nat Commun 2024; 15:5163. [PMID: 38886381 PMCID: PMC11183243 DOI: 10.1038/s41467-024-49516-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 06/10/2024] [Indexed: 06/20/2024] Open
Abstract
As the most abundant organic substances in nature, carbohydrates are essential for life. Understanding how carbohydrates regulate proteins in the physiological and pathological processes presents opportunities to address crucial biological problems and develop new therapeutics. However, the diversity and complexity of carbohydrates pose a challenge in experimentally identifying the sites where carbohydrates bind to and act on proteins. Here, we introduce a deep learning model, DeepGlycanSite, capable of accurately predicting carbohydrate-binding sites on a given protein structure. Incorporating geometric and evolutionary features of proteins into a deep equivariant graph neural network with the transformer architecture, DeepGlycanSite remarkably outperforms previous state-of-the-art methods and effectively predicts binding sites for diverse carbohydrates. Integrating with a mutagenesis study, DeepGlycanSite reveals the guanosine-5'-diphosphate-sugar-recognition site of an important G-protein coupled receptor. These findings demonstrate DeepGlycanSite is invaluable for carbohydrate-binding site prediction and could provide insights into molecular mechanisms underlying carbohydrate-regulation of therapeutically important proteins.
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Affiliation(s)
- Xinheng He
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lifen Zhao
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yinping Tian
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Rui Li
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- School of Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Qinyu Chu
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced Study, Hangzhou, China
| | - Zhiyong Gu
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced Study, Hangzhou, China
| | - Mingyue Zheng
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced Study, Hangzhou, China
| | - Yusong Wang
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China
| | - Shaoning Li
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Hualiang Jiang
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced Study, Hangzhou, China
- Lingang Laboratory, Shanghai, China
| | - Yi Jiang
- Lingang Laboratory, Shanghai, China
| | - Liuqing Wen
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | | | - Xi Cheng
- State Key Laboratory of Drug Research and State Key Laboratory of Chemical Biology, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced Study, Hangzhou, China.
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3
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Frohnmeyer H, Verkade JMM, Spiertz M, Rentsch A, Hoffmann N, Sobota M, Schwede F, Tjeerdsma P, Elling L. Process Development for the Enzymatic Gram-Scale Production of the Unnatural Nucleotide Sugar UDP-6-Azido-GalNAc. CHEMSUSCHEM 2024:e202400311. [PMID: 38655621 DOI: 10.1002/cssc.202400311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/27/2024] [Accepted: 04/23/2024] [Indexed: 04/26/2024]
Abstract
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.
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Affiliation(s)
- Hannes Frohnmeyer
- RWTH Aachen University, Laboratory for Biomaterials, Institute of Biotechnology and Helmholtz-Institute for Biomedical Engineering, Pauwelsstraße 20, 52074, Aachen, Germany
| | - Jorge M M Verkade
- Synaffix BV, Pivot Park, Kloosterstraat 9, 5349 AB, Oss, The Netherlands
| | - Markus Spiertz
- SeSaM-Biotech GmbH, Forckenbeckstraße 50, 52074, Aachen, Germany
| | - Andreas Rentsch
- Biolog Life Science Institute GmbH & Co. KG, Flughafendamm 9a, 28199, Bremen, Germany
| | - Niels Hoffmann
- RWTH Aachen University, Laboratory for Biomaterials, Institute of Biotechnology and Helmholtz-Institute for Biomedical Engineering, Pauwelsstraße 20, 52074, Aachen, Germany
| | - Milan Sobota
- SeSaM-Biotech GmbH, Forckenbeckstraße 50, 52074, Aachen, Germany
| | - Frank Schwede
- Biolog Life Science Institute GmbH & Co. KG, Flughafendamm 9a, 28199, Bremen, Germany
| | - Peter Tjeerdsma
- Synaffix BV, Pivot Park, Kloosterstraat 9, 5349 AB, Oss, The Netherlands
| | - Lothar Elling
- RWTH Aachen University, Laboratory for Biomaterials, Institute of Biotechnology and Helmholtz-Institute for Biomedical Engineering, Pauwelsstraße 20, 52074, Aachen, Germany
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4
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Crowe SA, Zhao X, Gan F, Chen X, Hudson GA, Astolfi MCT, Scheller HV, Liu Y, Keasling JD. Engineered Saccharomyces cerevisiae as a Biosynthetic Platform of Nucleotide Sugars. ACS Synth Biol 2024; 13:1215-1224. [PMID: 38467016 DOI: 10.1021/acssynbio.3c00666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Glycosylation of biomolecules can greatly alter their physicochemical properties, cellular recognition, subcellular localization, and immunogenicity. Glycosylation reactions rely on the stepwise addition of sugars using nucleotide diphosphate (NDP)-sugars. Making these substrates readily available will greatly accelerate the characterization of new glycosylation reactions, elucidation of their underlying regulation mechanisms, and production of glycosylated molecules. In this work, we engineered Saccharomyces cerevisiae to heterologously express nucleotide sugar synthases to access a wide variety of uridine diphosphate (UDP)-sugars from simple starting materials (i.e., glucose and galactose). Specifically, activated glucose, uridine diphosphate d-glucose (UDP-d-Glc), can be converted to UDP-d-glucuronic acid (UDP-d-GlcA), UDP-d-xylose (UDP-d-Xyl), UDP-d-apiose (UDP-d-Api), UDP-d-fucose (UDP-d-Fuc), UDP-l-rhamnose (UDP-l-Rha), UDP-l-arabinopyranose (UDP-l-Arap), and UDP-l-arabinofuranose (UDP-l-Araf) using the corresponding nucleotide sugar synthases of plant and microbial origins. We also expressed genes encoding the salvage pathway to directly activate free sugars to achieve the biosynthesis of UDP-l-Arap and UDP-l-Araf. We observed strong inhibition of UDP-d-Glc 6-dehydrogenase (UGD) by the downstream product UDP-d-Xyl, which we circumvented using an induction system (Tet-On) to delay the production of UDP-d-Xyl to maintain the upstream UDP-sugar pool. Finally, we performed a time-course study using strains containing the biosynthetic pathways to produce five non-native UDP-sugars to elucidate their time-dependent interconversion and the role of UDP-d-Xyl in regulating UDP-sugar metabolism. These engineered yeast strains are a robust platform to (i) functionally characterize sugar synthases in vivo, (ii) biosynthesize a diverse selection of UDP-sugars, (iii) examine the regulation of intracellular UDP-sugar interconversions, and (iv) produce glycosylated secondary metabolites and proteins.
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Affiliation(s)
- Samantha A Crowe
- Department of Chemical & Biomolecular Engineering, University of California, Berkeley, California 94720, United States
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
| | - Xixi Zhao
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
| | - Fei Gan
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
| | - Xiaoyue Chen
- Joint BioEnergy Institute, Emeryville, California 94608, United States
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, United States
| | - Graham A Hudson
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
| | - Maria C T Astolfi
- Joint BioEnergy Institute, Emeryville, California 94608, United States
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
| | - Henrik V Scheller
- Joint BioEnergy Institute, Emeryville, California 94608, United States
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, United States
| | - Yuzhong Liu
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
| | - Jay D Keasling
- Department of Chemical & Biomolecular Engineering, University of California, Berkeley, California 94720, United States
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, California 94720, United States
- Joint BioEnergy Institute, Emeryville, California 94608, United States
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
- Center for Synthetic Biochemistry, Shenzhen Institutes for Advanced Technologies, Shenzhen 518071, China
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5
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Li J, Xu T, Zheng Y, Liu D, Zhang C, Li J, Wang ZA, Du Y. In Silico Study on a Binding Mechanism of ssDNA Aptamers Targeting Glycosidic Bond-Containing Small Molecules. Anal Chem 2024; 96:5056-5064. [PMID: 38497564 DOI: 10.1021/acs.analchem.4c00927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Aptamer-based detection targeting glycoconjugates has attracted significant attention for its remarkable potential in identifying structural changes in saccharides in different stages of various diseases. However, the challenges in screening aptamers for small carbohydrates or glycoconjugates, which contain highly flexible and diverse glycosidic bonds, have hindered their application and commercialization. In this study, we investigated the binding conformations between three glycosidic bond-containing small molecules (GlySMs; glucose, N-acetylneuraminic acid, and neomycin) and their corresponding aptamers in silico, and analyzed factors contributing to their binding affinities. Based on the findings, a novel binding mechanism was proposed, highlighting the central role of the stem structure of the aptamer in binding and recognizing GlySMs and the auxiliary role of the mismatched bases in the adjacent loop. Guided by this binding mechanism, an aptamer with a higher 6'-sialyllactose binding affinity was designed, achieving a KD value of 4.54 ± 0.64 μM in vitro through a single shear and one mutation. The binding mechanism offers crucial guidance for designing high-affinity aptamers, enhancing the virtual screening efficiency for GlySMs. This streamlined workflow filters out ineffective binding sites, accelerating aptamer development and providing novel insights into glycan-nucleic acid interactions.
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Affiliation(s)
- Jiaqing Li
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- School of Chemical Engineering, University of Chinese Academy of Sciences, No.19A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Tong Xu
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- School of Chemical Engineering, University of Chinese Academy of Sciences, No.19A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Yalan Zheng
- Key Laboratory for Animal Disease-Resistant Nutrition of the Ministry of Education of China, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, Sichuan 611130, China
| | - Dongdong Liu
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
| | - Chen Zhang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
| | - Jianjun Li
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
| | - Zhuo A Wang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
| | - Yuguang Du
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, 1 North second Street, Zhongguancun, Haidian District, Beijing 100190, China
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6
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Zhao L, Wei F, He X, Dai A, Yang D, Jiang H, Wen L, Cheng X. Identification of a carbohydrate recognition motif of purinergic receptors. eLife 2023; 12:e85449. [PMID: 37955640 PMCID: PMC10642967 DOI: 10.7554/elife.85449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 10/08/2023] [Indexed: 11/14/2023] Open
Abstract
As a major class of biomolecules, carbohydrates play indispensable roles in various biological processes. However, it remains largely unknown how carbohydrates directly modulate important drug targets, such as G-protein coupled receptors (GPCRs). Here, we employed P2Y purinoceptor 14 (P2Y14), a drug target for inflammation and immune responses, to uncover the sugar nucleotide activation of GPCRs. Integrating molecular dynamics simulation with functional study, we identified the uridine diphosphate (UDP)-sugar-binding site on P2Y14, and revealed that a UDP-glucose might activate the receptor by bridging the transmembrane (TM) helices 2 and 7. Between TM2 and TM7 of P2Y14, a conserved salt bridging chain (K2.60-D2.64-K7.35-E7.36 [KDKE]) was identified to distinguish different UDP-sugars, including UDP-glucose, UDP-galactose, UDP-glucuronic acid, and UDP-N-acetylglucosamine. We identified the KDKE chain as a conserved functional motif of sugar binding for both P2Y14 and P2Y purinoceptor 12 (P2Y12), and then designed three sugar nucleotides as agonists of P2Y12. These results not only expand our understanding for activation of purinergic receptors but also provide insights for the carbohydrate drug development for GPCRs.
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Affiliation(s)
- Lifen Zhao
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
| | - Fangyu Wei
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xinheng He
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Antao Dai
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
| | - Dehua Yang
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Hualiang Jiang
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced StudyHangzhouChina
| | - Liuqing Wen
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xi Cheng
- State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center and National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
- School of Pharmaceutical Science and Technology, Hangzhou Institute of Advanced StudyHangzhouChina
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7
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Hussnaetter KP, Palm P, Pich A, Franzreb M, Rapp E, Elling L. Strategies for Automated Enzymatic Glycan Synthesis (AEGS). Biotechnol Adv 2023; 67:108208. [PMID: 37437855 DOI: 10.1016/j.biotechadv.2023.108208] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 06/30/2023] [Accepted: 07/07/2023] [Indexed: 07/14/2023]
Abstract
Glycans are the most abundant biopolymers on earth and are constituents of glycoproteins, glycolipids, and proteoglycans with multiple biological functions. The availability of different complex glycan structures is of major interest in biotechnology and basic research of biological systems. High complexity, establishment of general and ubiquitous synthesis techniques, as well as sophisticated analytics, are major challenges in the development of glycan synthesis strategies. Enzymatic glycan synthesis with Leloir-glycosyltransferases is an attractive alternative to chemical synthesis as it can achieve quantitative regio- and stereoselective glycosylation in a single step. Various strategies for synthesis of a wide variety of different glycan structures has already be established and will exemplarily be discussed in the scope of this review. However, the application of enzymatic glycan synthesis in an automated system has high demands on the equipment, techniques, and methods. Different automation approaches have already been shown. However, while these techniques have been applied for several glycans, only a few strategies are able to conserve the full potential of enzymatic glycan synthesis during the process - economical and enzyme technological recycling of enzymes is still rare. In this review, we show the major challenges towards Automated Enzymatic Glycan Synthesis (AEGS). First, we discuss examples for immobilization of glycans or glycosyltransferases as an important prerequisite for the embedment and implementation in an enzyme reactor. Next, improvement of bioreactors towards automation will be described. Finally, analysis and monitoring of the synthesis process are discussed. Furthermore, automation processes and cycle design are highlighted. Accordingly, the transition of recent approaches towards a universal automated glycan synthesis platform will be projected. To this end, this review aims to describe essential key features for AEGS, evaluate the current state-of-the-art and give thought- encouraging impulses towards future full automated enzymatic glycan synthesis.
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Affiliation(s)
- Kai Philip Hussnaetter
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstraße 20, D-52074 Aachen, Germany
| | - Philip Palm
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstraße 20, D-52074 Aachen, Germany
| | - Andrij Pich
- Functional and Interactive Polymers, Institute of Technical and Macromolecular Chemistry and DWI Leibniz-Institute for Interactive Materials e.V., RWTH Aachen University, Forckenbeckstr. 50, 52074 Aachen, Germany
| | - Matthias Franzreb
- Karlsruher Institute of Technology (KIT), Institute of Functional Interfaces, Hermann v. Helmholtz, Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Erdmann Rapp
- glyXera GmbH, Brenneckestrasse 20 * ZENIT, 39120 Magdeburg, Germany; Max Planck Institute for Dynamics of Complex Technical System, Bioprocess Engineering, Sandtorstrasse 1, 39106 Magdeburg, Germany
| | - Lothar Elling
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstraße 20, D-52074 Aachen, Germany.
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8
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Mijdam R, Bijnagte-Schoenmaker C, Dyke E, Moons SJ, Boltje TJ, Nadif Kasri N, Lefeber DJ. Sialic acid biosynthesis pathway blockade disturbs neuronal network formation in human iPSC-derived excitatory neurons. J Neurochem 2023; 167:76-89. [PMID: 37650222 DOI: 10.1111/jnc.15934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023]
Abstract
N-acetylneuraminic acid (sialic acid) is present in large quantities in the brain and plays a crucial role in brain development, learning, and memory formation. How sialic acid contributes to brain development is not fully understood. The purpose of this study was to determine the effects of reduced sialylation on network formation in human iPSC-derived neurons (iNeurons). Using targeted mass spectrometry and antibody binding, we observed an increase in free sialic acid and polysialic acid during neuronal development, which was disrupted by treatment of iNeurons with a synthetic inhibitor of sialic acid biosynthesis. Sialic acid inhibition disturbed synapse formation and network formation on microelectrode array (MEA), showing short but frequent (network) bursts and an overall lower firing rate, and higher percentage of random spikes. This study shows that sialic acid is necessary for neuronal network formation during human neuronal development and provides a physiologically relevant model to study the role of sialic acid in patient-derived iNeurons.
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Affiliation(s)
- Rachel Mijdam
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Chantal Bijnagte-Schoenmaker
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Emma Dyke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Sam J Moons
- Synvenio B.V. Mercator 2, Nijmegen, the Netherlands
| | - Thomas J Boltje
- Synthetic Organic Chemistry, Institute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Dirk J Lefeber
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
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9
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Paliya BS, Sharma VK, Tuohy MG, Singh HB, Koffas M, Benhida R, Tiwari BK, Kalaskar DM, Singh BN, Gupta VK. Bacterial glycobiotechnology: A biosynthetic route for the production of biopharmaceutical glycans. Biotechnol Adv 2023; 67:108180. [PMID: 37236328 DOI: 10.1016/j.biotechadv.2023.108180] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/16/2023] [Accepted: 05/21/2023] [Indexed: 05/28/2023]
Abstract
The recent advancement in the human glycome and progress in the development of an inclusive network of glycosylation pathways allow the incorporation of suitable machinery for protein modification in non-natural hosts and explore novel opportunities for constructing next-generation tailored glycans and glycoconjugates. Fortunately, the emerging field of bacterial metabolic engineering has enabled the production of tailored biopolymers by harnessing living microbial factories (prokaryotes) as whole-cell biocatalysts. Microbial catalysts offer sophisticated means to develop a variety of valuable polysaccharides in bulk quantities for practical clinical applications. Glycans production through this technique is highly efficient and cost-effective, as it does not involve expensive initial materials. Metabolic glycoengineering primarily focuses on utilizing small metabolite molecules to alter biosynthetic pathways, optimization of cellular processes for glycan and glycoconjugate production, characteristic to a specific organism to produce interest tailored glycans in microbes, using preferably cheap and simple substrate. However, metabolic engineering faces one of the unique challenges, such as the need for an enzyme to catalyze desired substrate conversion when natural native substrates are already present. So, in metabolic engineering, such challenges are evaluated, and different strategies have been developed to overcome them. The generation of glycans and glycoconjugates via metabolic intermediate pathways can still be supported by glycol modeling achieved through metabolic engineering. It is evident that modern glycans engineering requires adoption of improved strain engineering strategies for creating competent glycoprotein expression platforms in bacterial hosts, in the future. These strategies include logically designing and introducing orthogonal glycosylation pathways, identifying metabolic engineering targets at the genome level, and strategically improving pathway performance (for example, through genetic modification of pathway enzymes). Here, we highlight current strategies, applications, and recent progress in metabolic engineering for producing high-value tailored glycans and their applications in biotherapeutics and diagnostics.
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Affiliation(s)
- Balwant S Paliya
- Herbal Nanobiotechnology Lab, Pharmacology Division, CSIR-National Botanical Research Institute, Lucknow 226001, India
| | - Vivek K Sharma
- Herbal Nanobiotechnology Lab, Pharmacology Division, CSIR-National Botanical Research Institute, Lucknow 226001, India
| | - Maria G Tuohy
- Biochemistry, School of Biological and Chemical Sciences, College of Science & Engineering, University of Galway (Ollscoil na Gaillimhe), University Road, Galway City, Ireland
| | - Harikesh B Singh
- Department of Biotechnology, GLA University, Mathura 281406, Uttar Pradesh, India
| | - Mattheos Koffas
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Rachid Benhida
- Institut de Chimie de Nice, UMR7272, Université Côte d'Azur, Nice, France; Mohamed VI Polytechnic University, Lot 660, Hay Moulay Rachid 43150, Benguerir, Morocco
| | | | - Deepak M Kalaskar
- UCL Division of Surgery and Interventional Science, Royal Free Hospital Campus, University College London, Rowland Hill Street, NW3 2PF, UK
| | - Brahma N Singh
- Herbal Nanobiotechnology Lab, Pharmacology Division, CSIR-National Botanical Research Institute, Lucknow 226001, India.
| | - Vijai K Gupta
- Biorefining and Advanced Materials Research Centre, SRUC, Barony Campus, Parkgate, Dumfries DG1 3NE, United Kingdom.
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10
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Ali MY, Liaqat F, Khazi MI, Sethupathy S, Zhu D. Utilization of glycosyltransferases as a seamless tool for synthesis and modification of the oligosaccharides-A review. Int J Biol Macromol 2023; 249:125916. [PMID: 37527764 DOI: 10.1016/j.ijbiomac.2023.125916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 07/16/2023] [Accepted: 07/18/2023] [Indexed: 08/03/2023]
Abstract
Glycosyltransferases (GTs) catalyze the transfer of active monosaccharide donors to carbohydrates to create a wide range of oligosaccharide structures. GTs display strong regioselectivity and stereoselectivity in producing glycosidic bonds, making them extremely valuable in the in vitro synthesis of oligosaccharides. The synthesis of oligosaccharides by GTs often gives high yields; however, the enzyme activity may experience product inhibition. Additionally, the higher cost of nucleotide sugars limits the usage of GTs for oligosaccharide synthesis. In this review, we comprehensively discussed the structure and mechanism of GTs based on recent literature and the CAZY website data. To provide innovative ideas for the functional studies of GTs, we summarized several remarkable characteristics of GTs, including folding, substrate specificity, regioselectivity, donor sugar nucleotides, catalytic reversibility, and differences between GTs and GHs. In particular, we highlighted the recent advancements in multi-enzyme cascade reactions and co-immobilization of GTs, focusing on overcoming problems with product inhibition and cost issues. Finally, we presented various types of GT that have been successfully used for oligosaccharide synthesis. We concluded that there is still an opportunity for improvement in enzymatically produced oligosaccharide yield, and future research should focus on improving the yield and reducing the production cost.
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Affiliation(s)
- Mohamad Yassin Ali
- Biofuels Institute, School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China; Department of Biochemistry, Faculty of Agriculture, Fayoum University, Fayoum 63514, Egypt
| | - Fakhra Liaqat
- Biofuels Institute, School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Mahammed Ilyas Khazi
- Biofuels Institute, School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Sivasamy Sethupathy
- Biofuels Institute, School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Daochen Zhu
- Biofuels Institute, School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
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11
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Li ZR, Li R, Pasternack L, Chen P, Wong CH. Chemical Synthesis of a Keto Sugar Nucleotide. J Org Chem 2023. [PMID: 37126664 DOI: 10.1021/acs.joc.3c00553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
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.
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Affiliation(s)
- Zhong-Rui Li
- Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
| | - Ruofan Li
- Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
| | - Laura Pasternack
- Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
| | - Pengxi Chen
- Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
| | - Chi-Huey Wong
- Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
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12
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Computational Insight into Intraspecies Distinctions in Pseudoalteromonas distincta: Carotenoid-like Synthesis Traits and Genomic Heterogeneity. Int J Mol Sci 2023; 24:ijms24044158. [PMID: 36835570 PMCID: PMC9966250 DOI: 10.3390/ijms24044158] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/10/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Advances in the computational annotation of genomes and the predictive potential of current metabolic models, based on more than thousands of experimental phenotypes, allow them to be applied to identify the diversity of metabolic pathways at the level of ecophysiology differentiation within taxa and to predict phenotypes, secondary metabolites, host-associated interactions, survivability, and biochemical productivity under proposed environmental conditions. The significantly distinctive phenotypes of members of the marine bacterial species Pseudoalteromonas distincta and an inability to use common molecular markers make their identification within the genus Pseudoalteromonas and prediction of their biotechnology potential impossible without genome-scale analysis and metabolic reconstruction. A new strain, KMM 6257, of a carotenoid-like phenotype, isolated from a deep-habituating starfish, emended the description of P. distincta, particularly in the temperature growth range from 4 to 37 °C. The taxonomic status of all available closely related species was elucidated by phylogenomics. P. distincta possesses putative methylerythritol phosphate pathway II and 4,4'-diapolycopenedioate biosynthesis, related to C30 carotenoids, and their functional analogues, aryl polyene biosynthetic gene clusters (BGC). However, the yellow-orange pigmentation phenotypes in some strains coincide with the presence of a hybrid BGC encoding for aryl polyene esterified with resorcinol. The alginate degradation and glycosylated immunosuppressant production, similar to brasilicardin, streptorubin, and nucleocidines, are the common predicted features. Starch, agar, carrageenan, xylose, lignin-derived compound degradation, polysaccharide, folate, and cobalamin biosynthesis are all strain-specific.
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13
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Dolan JP, Cosgrove SC, Miller GJ. Biocatalytic Approaches to Building Blocks for Enzymatic and Chemical Glycan Synthesis. JACS AU 2023; 3:47-61. [PMID: 36711082 PMCID: PMC9875253 DOI: 10.1021/jacsau.2c00529] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
While the field of biocatalysis has bloomed over the past 20-30 years, advances in the understanding and improvement of carbohydrate-active enzymes, in particular, the sugar nucleotides involved in glycan building block biosynthesis, have progressed relatively more slowly. This perspective highlights the need for further insight into substrate promiscuity and the use of biocatalysis fundamentals (rational design, directed evolution, immobilization) to expand substrate scopes toward such carbohydrate building block syntheses and/or to improve enzyme stability, kinetics, or turnover. Further, it explores the growing premise of using biocatalysis to provide simple, cost-effective access to stereochemically defined carbohydrate materials, which can undergo late-stage chemical functionalization or automated glycan synthesis/polymerization.
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14
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Zheng M, Zheng M, Lupoli TJ. Expanding the Substrate Scope of a Bacterial Nucleotidyltransferase via Allosteric Mutations. ACS Infect Dis 2022; 8:2035-2044. [PMID: 36106727 DOI: 10.1021/acsinfecdis.2c00402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
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.
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Affiliation(s)
- Maggie Zheng
- Department of Chemistry, New York University, New York, New York 10003, United States
| | - Meng Zheng
- Department of Chemistry, New York University, New York, New York 10003, United States
| | - Tania J Lupoli
- Department of Chemistry, New York University, New York, New York 10003, United States
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15
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Deng C, Zhao M, Zhao Q, Zhao L. Advances in green bioproduction of marine and glycosaminoglycan oligosaccharides. Carbohydr Polym 2022; 300:120254. [DOI: 10.1016/j.carbpol.2022.120254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/02/2022]
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