Characterization of a Thermotolerant ROK-Type Mannofructokinase from Streptococcus Mitis: Application to the Synthesis of Phosphorylated Sugars
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A Little Sugar Goes a Long Way: the Cell Biology of O-Glcnac
Published March 30, 2015 JCB: Review A little sugar goes a long way: The cell biology of O-GlcNAc Michelle R. Bond and John A. Hanover Unlike the complex glycans decorating the cell surface, the to nucleocytoplasmic kinases and phosphatases. In fact, there are O-linked -N-acetyl glucosamine (O-GlcNAc) modifica- many parallels between phosphorylation and O-GlcNAcylation: O-GlcNAc is added to Ser and Thr residues; the modification tion is a simple intracellular Ser/Thr-linked monosaccha- rapidly cycles on and off modified proteins at a rate faster than ride that is important for disease-relevant signaling and protein turnover; and like kinases and phosphatases, OGT and enzyme regulation. O-GlcNAcylation requires uridine OGA are phosphorylated (Fig. 1 B; Butkinaree et al., 2010; diphosphate–GlcNAc, a precursor responsive to nutrient Hanover et al., 2010). Many target proteins are modified by both status and other environmental cues. Alternative splicing O-GlcNAc and phosphate at exposed regions, suggesting the of the genes encoding the O-GlcNAc cycling enzymes presence of shared or coexisting recognition motifs. However, although the sites of protein phosphorylation can often be identified Downloaded from O-GlcNAc transferase (OGT) and O-GlcNAcase (OGA) by primary sequence alone, O-GlcNAcylation is not associated yields isoforms targeted to discrete sites in the nucleus, cy- with a clear consensus motif. toplasm, and mitochondria. OGT and OGA also partner OGT uses UDP-GlcNAc, a nucleotide sugar derived from with cellular effectors and act in tandem with other post- the nutrient-dependent hexosamine biosynthetic pathway (HBP), translational modifications. The enzymes of O-GlcNAc to catalyze O-GlcNAc addition (Fig. -
Supporting Online Material
1 SUPPLEMENTARY MATERIAL 2 The glycan alphabet is not universal: a hypothesis 3 4 Jaya Srivastava1*, P. Sunthar2 and Petety V. Balaji1 5 6 1Department of Biosciences and Bioengineering, Indian Institute of 7 Technology Bombay, Powai, Mumbai 400076, India 8 9 2Department of Chemical Engineering, Indian Institute of Technology 10 Bombay, Powai, Mumbai 400076, India 11 12 *Corresponding author 13 Email: [email protected] 1 14 CONTENTS Data Description Figure S1 Number of organisms with different number of strains sequenced Figure S2 Biosynthesis pathways Figure S3 Proteome sizes for different number of monosaccharides Figure S4 Prevalence of monosaccharides in species versus that in genomes Figure S5 Bit score distribution plots for hits of various pairs of profiles Table S1 Tools and databases used in this study References References cited in Table S1 Table S2 Comparison of the precursor and nucleotide used for the biosynthesis of two enantiomers of a monosaccharide Flowchart S1 Procedure used to generate HMM profiles Flowchart S2 Precedence rules for assigning annotation to proteins that are hits to two or more profiles and/or BLASTp queries References References to the research articles which describe the pathways (or enzymes of the pathways) of monosaccharide biosynthesis. These formed the basis for generating HMM profiles and choosing BLASTp queries. 15 16 MS-EXCEL file provided separately: Supplementary Data.xlsx 17 Worksheet1 Details of HMM profiles Worksheet2 Details of BLASTp queries Worksheet3 Prevalence of monosaccharides in genomes / species Worksheet4 Abbreviated names of monosaccharides Worksheet5 Enzyme types, enzymes and monosaccharide groups Worksheet6 Precursors of various monosaccharides 18 2 19 Figure S1 The number of species for which different number of strains are sequenced. -
Converting Galactose Into the Rare Sugar Talose with Cellobiose 2-Epimerase As Biocatalyst
molecules Article Converting Galactose into the Rare Sugar Talose with Cellobiose 2-Epimerase as Biocatalyst Stevie Van Overtveldt, Ophelia Gevaert, Martijn Cherlet, Koen Beerens and Tom Desmet * Centre for Synthetic Biology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium; [email protected] (S.V.O.); [email protected] (O.G.); [email protected] (M.C.); [email protected] (K.B.) * Correspondence: [email protected]; Tel.: +32-9264-9920 Academic Editors: Giorgia Oliviero and Nicola Borbone Received: 17 September 2018; Accepted: 29 September 2018; Published: 1 October 2018 Abstract: Cellobiose 2-epimerase from Rhodothermus marinus (RmCE) reversibly converts a glucose residue to a mannose residue at the reducing end of β-1,4-linked oligosaccharides. In this study, the monosaccharide specificity of RmCE has been mapped and the synthesis of D-talose from D-galactose was discovered, a reaction not yet known to occur in nature. Moreover, the conversion is industrially relevant, as talose and its derivatives have been reported to possess important antimicrobial and anti-inflammatory properties. As the enzyme also catalyzes the keto-aldo isomerization of galactose to tagatose as a minor side reaction, the purity of talose was found to decrease over time. After process optimization, 23 g/L of talose could be obtained with a product purity of 86% and a yield of 8.5% (starting from 4 g (24 mmol) of galactose). However, higher purities and concentrations can be reached by decreasing and increasing the reaction time, respectively. In addition, two engineering attempts have also been performed. -
WO 2013/070444 Al 16 May 2013 (16.05.2013) W P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2013/070444 Al 16 May 2013 (16.05.2013) W P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every A23G 4/00 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (21) International Application Number: BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, PCT/US20 12/062043 DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (22) International Filing Date: HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, 26 October 2012 (26.10.2012) KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, (25) Filing Language: English NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, (26) Publication Language: English RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, (30) Priority Data: ZM, ZW. 61/556,546 7 November 20 11 (07. 11.201 1) US (84) Designated States (unless otherwise indicated, for every (71) Applicant (for all designated States except US): WVI. kind of regional protection available): ARIPO (BW, GH, WRIGLEY JR. COMPANY [US/US]; 1132 Blackhawk GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, Street, Chicago, IL 60642 (US). -
N-Acetyl-D-Glucosamine Kinase Is a Component of Nuclear Speckles and Paraspeckles
Mol. Cells 2015; 38(5): - http://dx.doi.org/10.14348/molcells.2015.2242 Molecules and Cells http://molcells.org Established in 1990 N-Acetyl-D-Glucosamine Kinase is a Component of Nuclear Speckles and Paraspeckles Syeda Ridita Sharif1,4, HyunSook Lee2,4, Md. Ariful Islam1, Dae-Hyun Seog3, and Il Soo Moon1,2,* Protein O-GlcNAcylation, dictated by cellular UDP-N- conformational change in which the two domains close around acetylglucosamine (UDP-GlcNAc) levels, plays a crucial role the nucleotide (Hurley, 1996). N-acetylglucosamine kinase in posttranslational modifications. The enzyme GlcNAc (GlcNAc kinase or NAGK; E.C. 2.7.1.59), an enzyme of the sug- kinase (NAGK, E.C. 2.7.1.59) catalyzes the formation of ar-kinase/Hsp70/actin super family (Berger et al., 2002), was first GlcNAc-6-phosphate, which is a major substrate for the identified in 1970 (Datta, 1970). NAGK is a prominent enzyme in biosynthesis of UDP-GlcNAc. Recent studies have revealed amino sugar metabolism where it catalyzes the conversion of the expression of NAGK in different types of cells especially GlcNAc to GlcNAc-6-phosphate. This metabolic pathway even- in neuronal dendrites. Here, by immunocytochemistry (ICC) tually yields to UDP-GlcNAc, which is utilized in the synthesis of and immunonucleochemistry (INC) of cultured rat hippo- O-/N-glycans and sialic acid. UDP-GlcNAc is also a substrate for campal neurons, HEK293T and GT1-7 cells we have showed O-GlcNAc transferase, which modifies cytosolic and nuclear that NAGK immuno-reactive punctae being present in the proteins at serine or threonine residues by adding a single nucleoplasm colocalized with small nuclear ribonucleoprotein- GlcNAc. -
Screening of Candidate Substrates and Coupling Ions of Transporters By
TOOLS AND RESOURCES Screening of candidate substrates and coupling ions of transporters by thermostability shift assays Homa Majd1†, Martin S King1†, Shane M Palmer1, Anthony C Smith1, Liam DH Elbourne2, Ian T Paulsen2, David Sharples3,4, Peter JF Henderson3,4, Edmund RS Kunji1* 1Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom; 2Department of Molecular Sciences, Macquarie University, Sydney, Australia; 3Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, United Kingdom; 4School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom Abstract Substrates of most transport proteins have not been identified, limiting our understanding of their role in physiology and disease. Traditional identification methods use transport assays with radioactive compounds, but they are technically challenging and many compounds are unavailable in radioactive form or are prohibitively expensive, precluding large- scale trials. Here, we present a high-throughput screening method that can identify candidate substrates from libraries of unlabeled compounds. The assay is based on the principle that transport proteins recognize substrates through specific interactions, which lead to enhanced stabilization of the transporter population in thermostability shift assays. Representatives of three different transporter (super)families were tested, which differ in structure as well as transport and ion coupling mechanisms. In each case, the substrates were identified correctly from a large set of *For correspondence: chemically related compounds, including stereo-isoforms. In some cases, stabilization by substrate [email protected] binding was enhanced further by ions, providing testable hypotheses on energy coupling †These authors contributed mechanisms. equally to this work DOI: https://doi.org/10.7554/eLife.38821.001 Competing interests: The authors declare that no competing interests exist. -
Conserved Phosphoryl Transfer Mechanisms Within Kinase Families
Kenyon et al. BMC Research Notes 2012, 5:131 http://www.biomedcentral.com/1756-0500/5/131 RESEARCHARTICLE Open Access Conserved phosphoryl transfer mechanisms within kinase families and the role of the C8 proton of ATP in the activation of phosphoryl transfer Colin P Kenyon*, Robyn L Roth, Chris W van der Westhuyzen and Christopher J Parkinson Abstract Background: The kinome is made up of a large number of functionally diverse enzymes, with the classification indicating very little about the extent of the conserved kinetic mechanisms associated with phosphoryl transfer. It has been demonstrated that C8-H of ATP plays a critical role in the activity of a range of kinase and synthetase enzymes. Results: A number of conserved mechanisms within the prescribed kinase fold families have been identified directly utilizing the C8-H of ATP in the initiation of phosphoryl transfer. These mechanisms are based on structurally conserved amino acid residues that are within hydrogen bonding distance of a co-crystallized nucleotide. On the basis of these conserved mechanisms, the role of the nucleotide C8-H in initiating the formation of a pentavalent intermediate between the g-phosphate of the ATP and the substrate nucleophile is defined. All reactions can be clustered into two mechanisms by which the C8-H is induced to be labile via the coordination of a backbone carbonyl to C6-NH2 of the adenyl moiety, namely a “push” mechanism, and a “pull” mechanism, based on the protonation of N7. Associated with the “push” mechanism and “pull” mechanisms are a series of proton transfer cascades, initiated from C8-H, via the tri-phosphate backbone, culminating in the formation of the pentavalent transition state between the g-phosphate of the ATP and the substrate nucleophile. -
THE DEVELOPMENT of CHEMICAL METHODS to DISCOVER KINASE SUBSTRATES and MAP CELL SIGNALING with GAMMA-MODIFIED ATP ANALOG-DEPENDENT KINASE-CATALYZED PHOSPHORYLATION By
Wayne State University Wayne State University Dissertations 1-1-2017 The evelopmeD nt Of Chemical Methods To Discover Kinase Substrates And Map Cell Signaling With Gamma-Modified Atp Analog- Dependent Kinase-Catalyzed Phosphorylation Dissanayaka Mudiyanselage Maheeka Madhubashini Embogama Wayne State University, Follow this and additional works at: https://digitalcommons.wayne.edu/oa_dissertations Part of the Analytical Chemistry Commons, and the Biochemistry Commons Recommended Citation Embogama, Dissanayaka Mudiyanselage Maheeka Madhubashini, "The eD velopment Of Chemical Methods To Discover Kinase Substrates And Map Cell Signaling With Gamma-Modified Atp Analog-Dependent Kinase-Catalyzed Phosphorylation" (2017). Wayne State University Dissertations. 1698. https://digitalcommons.wayne.edu/oa_dissertations/1698 This Open Access Dissertation is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Dissertations by an authorized administrator of DigitalCommons@WayneState. THE DEVELOPMENT OF CHEMICAL METHODS TO DISCOVER KINASE SUBSTRATES AND MAP CELL SIGNALING WITH GAMMA-MODIFIED ATP ANALOG-DEPENDENT KINASE-CATALYZED PHOSPHORYLATION by DISSANAYAKA M. MAHEEKA M. EMBOGAMA DISSERTATION Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY 2017 MAJOR: CHEMISTRY (Biochemistry) Approved By: Advisor Date DEDICATION To my beloved mother, father, husband, daughter and sister. ii ACKNOWLEGEMENTS Many people have helped me during the past five years of earning my PhD. I would like to take this opportunity to convey my gratitude to them. First and foremost, I would like to thank my research supervisor Dr. Mary Kay Pflum for being the greatest mentor that I have met so far. -
High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype
Supplementary Information High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype Håkon Reikvam 1,2,*, Elise Aasebø 1, Annette K. Brenner 2, Sushma Bartaula-Brevik 1, Ida Sofie Grønningsæter 2, Rakel Brendsdal Forthun 2, Randi Hovland 3,4 and Øystein Bruserud 1,2 1 Department of Clinical Science, University of Bergen, 5020, Bergen, Norway 2 Department of Medicine, Haukeland University Hospital, 5021, Bergen, Norway 3 Department of Medical Genetics, Haukeland University Hospital, 5021, Bergen, Norway 4 Institute of Biomedicine, University of Bergen, 5020, Bergen, Norway * Correspondence: [email protected]; Tel.: +55-97-50-00 J. Clin. Med. 2019, 8, x 2 of 36 Figure S1. Mutational studies in a cohort of 71 AML patients. The figure shows the number of patients with the various mutations (upper), the number of mutations in for each patient (middle) and the number of main classes with mutation(s) in each patient (lower). 2 J. Clin. Med. 2019, 8, x; doi: www.mdpi.com/journal/jcm J. Clin. Med. 2019, 8, x 3 of 36 Figure S2. The immunophenotype of primary human AML cells derived from 62 unselected patients. The expression of the eight differentiation markers CD13, CD14, CD15, CD33, CD34, CD45, CD117 and HLA-DR was investigated for 62 of the 71 patients included in our present study. We performed an unsupervised hierarchical cluster analysis and identified four patient main clusters/patient subsets. The mutational profile for each f the 62 patients is also given (middle), no individual mutation of main class of mutations showed any significant association with any of the for differentiation marker clusters (middle). -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Food Carbohydrates: Monosaccharides and Oligosaccharides
Paper No. 01 Paper Title: Food Chemistry Module-04: Food carbohydrates: Monosaccharides and Oligosaccharides Monosaccharides The simplest form of carbohydrates is the monosaccharide. Monosaccharides are either aldoses or ketoses. Aldoses such as glucose consists of a carbon backbone and a carbonyl group (C=O) located at the end of the chain. Ketoses such as fructose consists of a carbon backbone with a carbonyl group located at any other carbon in the chain. The remaining carbon atoms are bound to hydroxyl groups (-OH). Monosaccharide classifications based on the number of carbons Number Category of Examples Name Carbons 4 Tetrose Erythrose, Threose 5 Pentose Arabinose, Ribose, Ribulose, Xylose, Xylulose, Lyxose Allose, Altrose, Fructose, Galactose, Glucose, Gulose, Idose, 6 Hexose Mannose, Sorbose, Talose, Tagatose 7 Heptose Sedoheptulose, Mannoheptulose Monosaccharides Three common sugars glucose, galactose and fructose share the same molecular formula: C6H12O6. Because of their six carbon atoms, each is a hexose. Although all three share the same molecular formula, the arrangement of atoms differs in each case. Substances such as these three, which have identical molecular formulas but different structural formulas, are known as structural isomers. Glucose "Blood sugar" is the immediate source of energy for cellular respiration. Glucose, which is also referred to as dextrose, is a moderately sweet sugar found in vegetables and fruit. When glucose is fermented by the enzyme zymase, in yeast, it results in the formation of carbon dioxide and ethyl alcohol. It is the basic structure to which all carbohydrates are reduced to in the end, for transport via the bloodstream and use by the cells of the body.