DOCSLIB.ORG

HPLC with Charged Aerosol Detector (CAD) As a Quality Control Platform for Analysis of Carbohydrate Polymers Rajarshi Ghosh and Paul Kline*

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
HPLC with Charged Aerosol Detector (CAD) As a Quality Control Platform for Analysis of Carbohydrate Polymers Rajarshi Ghosh and Paul Kline* Ghosh and Kline BMC Res Notes (2019) 12:268 https://doi.org/10.1186/s13104-019-4296-y BMC Research Notes RESEARCH NOTE Open Access HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers Rajarshi Ghosh and Paul Kline* Abstract Objective: QC analysis of carbohydrates has been historically cumbersome due to lengthy and laborious derivati- zation techniques and the requirement of complimentary instrumentation. HILIC-CAD has emerged as an efective platform for direct monosaccharide composition analysis of complex carbohydrates without derivatization. Although, several neutral sugars have been separated and detected using HILIC-CAD, there has not been any report on acidic and amino sugar analysis using this method. In this study, we developed a gradient method for simultaneous analysis of acidic, amino and select neutral monosaccharides. As an application of the HILIC-CAD method, we performed composition analysis of commercially purchased hyaluronic acid products. Additionally, since CAD is suitable for SEC experiments, we tested the homogeneity of hyaluronic acids using a SEC-CAD method. Results: We separated common uronic acids (GlcA, GalA, LIdoA and Neu5Ac), amino sugars (GlcN, GalN and GlcNAc) and select neutral sugars (LRha, LFuc, Man and Gal) using a gradient HILIC-CAD method. The optimized gradient method demonstrated good linearity (R2 > 0.99), precision (RSD < 8%), LOD (< 85 ng/mL) and LOQ (< 280 ng/mL). HILIC-CAD analysis of commercially purchased hyaluronic acid products indicated that samples were composed of GlcNAc and GlcA. Additionally, SEC-CAD chromatograms indicated the heterogeneous nature of the samples. Keywords: HILIC, HPSEC, QC of carbohydrates, Hyaluronic acid, Uronic acids, Amino sugars Introduction need for a simple multipurpose platform for rapid QC of Carbohydrates have become increasingly important com- carbohydrates. mercially not only as food or structural building blocks, Analysis of complex carbohydrates has been histori- but also as natural health products [1]. It is essential to cally challenging due to their heterogeneity and diversity have proper QC of carbohydrate-based therapeutics to [1]. Additionally, monosaccharide composition analysis ensure their efcacy and safety. Physicochemical proper- can be tricky due to the presence of epimers, formation ties such as homogeneity, size and composition serve as of anomers and lack of a chromophore [2]. Common ana- important QC parameters for carbohydrates [1]. Te QC lytical techniques (GC–MS and reverse phase HPLC) for process is often time-consuming and expensive due to composition analysis require appropriate derivatization the lack of a single platform capable of analyzing neces- of monosaccharides [3, 4]. As a result analysis of underi- sary parameters. Analysts rely on laborious derivatization vatized monosaccharides is becoming increasingly popu- procedures and complementary analytical instrumen- lar. High performance anion exchange chromatography tation to test products. Tese problems underline the with pulsed amphoteric detection (HPAEC-PAD) has proven to be an efective tool for direct analysis of mono- saccharides in recent years [5]. However, the high pH of the eluent resulting in epimerization and degradation of *Correspondence: [email protected] carbohydrates, unstable baseline, loss of sensitivity and Department of Chemistry, Middle Tennessee State University, 1301 E Main Street, MTSU Box 68, Murfreesboro, TN 37132, USA requirement of a dedicated base-compatible HPLC are © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creat iveco mmons .org/ publi cdoma in/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Ghosh and Kline BMC Res Notes (2019) 12:268 Page 2 of 7 some of its disadvantages [6]. Hydrophilic interaction ammonium acetate; and (B) water with 0.2% TEA and liquid chromatography (HILIC) coupled to evapora- 25 mM ammonium acetate. Te following gradient elu- tive light scattering detector (ELSD), mass spectrometer tion was used: 0% B at 0–15 min, 0–18% B at 15–40 min, (MS), refractive index detector (RID) and charged aerosol 18% B at 40–45 min, 18–0% B at 45–47 min and 0% B detector (CAD) ofer other alternate ways of analyzing at 47–55 min. Te fow rate was 0.5 mL/min. A column underivatized carbohydrates [2, 7–10]. Te CAD, intro- temperature of 50 °C and an injection volume of 10 µL duced by Dixon and Peterson [11], ofers several advan- (mixed standard monosaccharide solution at a concentra- tages compared to other detectors used in the direct tion of 225 µg/mL) was used for the analysis. Te efects analysis of sugars. Te response of CAD does not depend of column temperature (50 °C, 40 °C and 30 °C) and buf- on the structural properties of the analyte and it ofers ers such as ammonium acetate (25 mM and 20 mM), greater sensitivity than ELSD [12]. It is compatible with ammonium formate (25 mM and 20 mM) and triethyl- gradient elution and allows detection of all non-volatile amine (TEA) (0.2% and 0.1%) on chromatographic sepa- and most semi-volatile analytes [13]. It is also relatively ration were evaluated. Te following parameters were cheap and easy to use compared to MS. Hence, HILIC used for the CAD detector: (i) nitrogen gas pressure: 35 coupled with CAD can be an excellent tool for direct psi; (ii) detector response 100 pA; and (iii) noise flter: composition analysis and detection of impurities in sam- high. Data processing was carried out using Chromeleon ples. Although, neutral sugars have been previously sepa- 6.8 software. rated using HILIC-CAD, there has not been any reports on the analysis of acidic and amino sugars. Validation In this study, a method has been developed to separate Seven diferent concentrations (15–1000 µg/mL) of the and detect amino sugars (GlcN, GalN and GlcNAc) and standards were injected in triplicate to construct a double acidic sugars (GlcA, GalA, Neu5Ac and LIdoA) with- logarithmic plot, which was used as a calibration curve out derivatization using HILIC-CAD. Commonly found [16]. Te limit of detection (LOD) and limit of quantifca- N-linked neutral sugar residues in mammalian glyco- tion (LOQ) was calculated based on previously reported proteins such as LFuc, Gal and Man were also simulta- methods [16, 17]. Intra-day precision (%RSD) was deter- neously separated. As an application of our proposed mined by repeating the analysis of a standard solution QC platform, we analyzed the monomer composition of fve times in a single day. Inter-day precision (%RSD) commercially available hyaluronic acid (HA) products. analysis was performed over 3 days. CAD has also been shown to be efective in size exclu- sion chromatography (SEC) with better impurity and Application of HPLC-CAD as a QC platform polydispersity profles compared to RID ad ELSD [14]. Te monosaccharide composition of commercially pur- Terefore, SEC-CAD can be potentially employed for chased HA products were analyzed to demonstrate the homogeneity and molecular weight analysis of carbohy- application of the HILIC-CAD method. Samples (> 5 mg) drates. In this study, we demonstrated the homogeneity were hydrolyzed using 2 mL of 2 M trifuoroacetic acid of commercially purchased HA products using a SEC- (TFA) at 110 °C for 2 h prior to composition analysis. CAD method adapted from Chen et al. [15]. Te homogeneity of HA was also analyzed by a sepa- rate high performance size exclusion chromatography Main text (HPSEC) experiment. GPC grade HA standards and Materials and methods commercially purchased samples were analyzed on a Material and reagents TOSOH TSKgel G4000PW xl (7.8 × 300 mm; 10 µm) col- All standards, solvents and bufer additives were of umn for 35 min. Ammonium acetate (25 mM) at a fow HPLC grade (Sigma Aldrich, Synthose Inc., and Fisher rate of 0.5 mL/min was used as the eluent. A volume of Scientifc). HA supplements were purchased from local 10 µL of sample was injected into the column. Te CAD supermarkets. parameters were the same as before. Separation of monosaccharides by HILIC-CAD Results and discussion A Dionex Ultimate 3000 HPLC system coupled to a Separation of monosaccharides by HILIC-CAD Corona charged aerosol detector was used for the chro- Te gradient method was able to separate uronic acids matographic analysis. Separation was carried out using a (GlcA, GalA, Neu5Ac and LIdoA) and amino sugars Waters XBridge BEH Amide XP (3 × 150 mm; 2.5 µm) (GlcN, GalN and GlcNAc) as well as select neutral sugar column. Te mobile phase of the optimized method con- residues (LRha, LFuc, Man and Gal) (Fig. 1). Te deoxy sisted of (A) 90% acetonitrile with 0.2% TEA and 25 mM monosaccharides eluted frst followed by acetylated Ghosh and Kline BMC Res Notes (2019) 12:268 Page 3 of 7 pA 60.0 50.0 40.0 Neu5Ac GlcA Fuc GalA 30.0 GlcNAc GlcN GalN 20.0 Man IdoA Gal 10.0 0.0 min -10.0 0.0 10.0 20.0 30.0 40.0 50.0 55.0 Fig. 1 Separation of monosaccharides by HILIC-CAD. The HILIC-CAD gradient method was able to separate a mixture of 11 monosaccharide standards (225 µg/mL) (Rha, Fuc, GlcNAc, Man, Gal, GlcN, GalN, IdoA, Neu5Ac, GlcA and GalA) in this study. Bufer additives of 25 mM ammonium acetate and 0.2% TEA and a column temperature of 50 °C were used for the HPLC analysis amino sugars, aldohexoses, amino sugars and uronic chosen for the optimized method.
Load more

Recommended publications
  • Liquid Chromatography with Electrospray Ionization And
    Hindawi Publishing Corporation International Journal of Analytical Chemistry Volume 2016, Article ID 9269357, 8 pages http://dx.doi.org/10.1155/2016/9269357 Research Article Liquid Chromatography with Electrospray Ionization and Tandem Mass Spectrometry Applied in the Quantitative Analysis of Chitin-Derived Glucosamine for a Rapid Estimation of Fungal Biomass in Soil Madelen A. Olofsson and Dan Bylund DepartmentofNaturalSciences,MidSwedenUniversity,85170Sundsvall,Sweden Correspondence should be addressed to Madelen A. Olofsson; [email protected] Received 2 September 2015; Accepted 12 January 2016 Academic Editor: Frantisek Foret Copyright © 2016 M. A. Olofsson and D. Bylund. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This method employs liquid chromatography-tandem mass spectrometry to rapidly quantify chitin-derived glucosamine for estimating fungal biomass. Analyte retention was achieved using hydrophilic interaction liquid chromatography, with a zwitter- ionic stationary phase (ZIC-HILIC), and isocratic elution using 60% 5 mM ammonium formate buffer (pH 3.0) and 40% ACN. Inclusion of muramic acid and its chromatographic separation from glucosamine enabled calculation of the bacterial contribution to the latter. Galactosamine, an isobaric isomer to glucosamine, found in significant amounts in soil samples, was also investigated. Thetwoisomersformthesameprecursorandproductionsandcouldnotbechromatographicallyseparatedusingthisrapid method. Instead, glucosamine and galactosamine were distinguished mathematically, using the linear relationships describing the differences in product ion intensities for the two analytes. The m/z transitions of 180 → 72 and 180 → 84 were applied for the detection of glucosamine and galactosamine and that of 252 → 126 for muramic acid.
    [Show full text]
  • Chapter 12 Slides
    11/15/17 CHAPTER 12: Carbohydrates: Structure and Function OUTLINE • 12.1 Role of Carbohydrates • 12.2 Monosaccharides • 12.3 Complex Carbohydrates • 12.4 Carbohydrate Catabolism • 12.5 Oligosaccharides as Cell Markers CHAPTER 12: Carbohydrates: Structure and Function WHAT ARE CARBOHYDRATES? • Glucose and its derivatives are carbohydrates: Ø Carbohydrates are simple organic molecules that have a shared basic chemical Formula: Cn(H2O)n Ø The name “carbo + hydrate” represents that Fact that they are made from CO2 and H2O by photosynthesis • About halF oF all earth’s solid carbon is Found in two polymers of glucose found in plants: Ø Starch = major energy storage molecule Ø Cellulose = major structural component oF the plant cell wall (aka. “fiber”) CHAPTER 12: Carbohydrates: Structure and Function THE SIMPLEST CARBOHYDRATES • Monosaccharides are carbohydrates that cannot be hydrolyZed into simpler carbohydrates: Ø These are the Fundamental building blocks For all other carbohydrates (oFten called “simple sugars”) Ø All have Formulas of based on the basic pattern: Cn(H2O)n • Monosaccharides have speciFic Functional groups: 1. An aldehyde OR a ketone (not both!) 2. Several (two or more) alcohol (-OH) groups 1 11/15/17 CHAPTER 12: Carbohydrates: Structure and Function STRUCTURE & NOMENCLATURE OF MONOSACCHARIDES • Monosaccharides are classiFied by two features: 1. Length of their main carbon chain (utilize standard IUPAC naming For # oF carbons) 2. Whether they contain an aldehyde or ketone group • Names always end with –ose • Two common hexoses:
    [Show full text]
  • Amino Sugars and Muramic Acid—Biomarkers for Soil Microbial Community Structure Analysis
    Soil Biology & Biochemistry 36 (2004) 399–407 www.elsevier.com/locate/soilbio Amino sugars and muramic acid—biomarkers for soil microbial community structure analysis Bruno Glasera,*, Marı´a-Bele´n Turrio´nb, Kassem Alefc aInstitute of Soil Science and Soil Geography, University of Bayreuth, Bayreuth D-95440, Germany bArea of Soil Science and Soil Chemistry, ETSIIAA, University of Valladolid, Palencia 34004, Spain cUmwelt und Technologie Consulting, Bayreuth D-95448, Germany Received 13 December 2002; received in revised form 22 July 2003; accepted 7 October 2003 Abstract Characterizing functional and phylogenetic microbial community structure in soil is important for understanding the fate of microbially- derived compounds during the decomposition and turn-over of soil organic matter. This study was conducted to test whether amino sugars and muramic acid are suitable biomarkers to trace bacterial, fungal, and actinomycetal residues in soil. For this aim, we investigated the pattern, amounts, and dynamics of three amino sugars (glucosamine, mannosamine and galactosamine) and muramic acid in the total microbial biomass and selectively cultivated bacteria, fungi, and actinomycetes offive different soils amended with and without glucose. Our results revealed that total amino sugar and muramic acid concentrations in microbial biomass, extracted from soil after chloroform fumigation varied between 1 and 27 mg kg21 soil. In all soils investigated, glucose addition resulted in a 50–360% increase of these values. In reference to soil microbial biomass-C, the total amino sugar- and muramic acid-C concentrations ranged from 1–71 g C kg21 biomass-C. After an initial lag phase, the cultivated microbes revealed similar amino sugar concentrations of about 35, 27 and 17 g glucosamine-C kg21 TOC in bacteria, fungi, and actinomycetes, respectively.
    [Show full text]
  • Supplementary Data
    Metabolomics in cancer research: Supplementary data 1 Supplementary Data 2 Supplementary methods 3 Additional information regarding the search strategy used in the main paper 4 Supplementary tables 5 Supplementary Table 1: List of reported metabolites to be altered in human cancers 6 Supplementary figures 7 Supplementary Figure 1: General overview over the metabolomics workflow 8 1 Metabolomics in cancer research: Supplementary data 9 Supplementary methods 10 Search strategy 11 The search strategy was described in the main paper. For the Web of Knowledge search an 12 additional refinement step was necessary to reduce irrelevant findings. The following research 13 areas of low relevance were excluded: 14 Plant Science, Biophysics, Agriculture, Environmental Sciences Ecology, Microbiology, 15 Computer Science, Mathematics, Cardiology, Engineering, Automation control Systems, 16 Marine Freshwater Biology, Behavioral Science, Physics, Developmental Biology, Zoology, 17 Psychiatry, Energy Fuels, Infectious Disease, Parasitology, Mycology, Rheumatology, 18 Psychology, Veterinary Sciences, Dentistry, Legal Medicine, Polymer Science, 19 Anesthesiology, Robotics, Sports Science, Forestry, Tropical Medicine, Virology, Water 20 Resources, Electrochemistry, Evolutionary Biology, Fisheries, Materials Science, 21 Oceanography, Substance Abuse, Geology, Nuclear Science Technology, Operations 22 Research Management, Orthopedics, Allergy, Biodiversity, Educational Research, 23 Metallurgy, Optics, Emergency Medicine, Geochemistry, History philosophy of science, 24 Mathematical methods in Social sciences, Mechanics, Social Issues, Thermodynamics 25 Additionally the abstracts had to contain one of the following keywords: 26 “MS” OR “mass spectrometry” OR “patients”. 2 Metabolomics in cancer research: Supplementary data 27 Supplementary tables 28 Supplementary Table 1: List of reported metabolites altered in human cancers. Metabolites in bold were reported from a study that validated 29 findings within an independent study population.
    [Show full text]
  • Xorox Univerelty Microfilms
    INFORMATION TO USERS This material was producad from a microfilm copy of the original document. While the moit advanced technological meant to photograph and reproduce thii document have been used, the quality it heavily dependent upon the quality of the original submitted. The following explanation of techniques is provided to help ou understand markings or patterns which may appear on this reproduction. 1. The sign or "target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to ob tain the mining page(s) or section, they are spliced into the film along w ith: adjacent pages, This may have necessitated cutting thru an image and dupli eating adjacent pages to insure you complete continuity. 2. When an image on the film is obliterated with a large round black mark, it is an indication that the photographer suspected that the copy may have moved during exposure and thus cause a blurred image, fou will find a good image of the page in the adjacent frame. 3. When a map, drawing or chart, etc., was part of the material being photographed the photographer followed a definite method in "sectioning” the material. It is customary to begin photoi ig at the upper left hand comer of a large dieet and to continue photoi ig from left to right in equal sections with a small overlap. If necessary, sectioning is continued agein — beginning below the first row and continuing on until complete. 4. The majority of users indicate that the textual content is of greatest value, however, a somewhat higher quality reproduction could be made from "photographs" if essential to the understanding of the dissertation.
    [Show full text]
  • Analysis of Proteomic Responses of Freeze-Dried Oenococcus Oeni to Access the Molecular Mechanism of Acid Acclimation on Cell Freeze-Drying Resistance
    Accepted Manuscript Analysis of proteomic responses of freeze-dried Oenococcus oeni to access the molecular mechanism of acid acclimation on cell freeze-drying resistance Kun Yang, Yang Zhu, Yiman Qi, Tingjing Zhang, Miaomiao Liu, Jie Zhang, Xinyuan Wei, Mingtao Fan, Guoqiang Zhang PII: S0308-8146(19)30188-8 DOI: https://doi.org/10.1016/j.foodchem.2019.01.120 Reference: FOCH 24215 To appear in: Food Chemistry Received Date: 2 October 2018 Revised Date: 24 December 2018 Accepted Date: 17 January 2019 Please cite this article as: Yang, K., Zhu, Y., Qi, Y., Zhang, T., Liu, M., Zhang, J., Wei, X., Fan, M., Zhang, G., Analysis of proteomic responses of freeze-dried Oenococcus oeni to access the molecular mechanism of acid acclimation on cell freeze-drying resistance, Food Chemistry (2019), doi: https://doi.org/10.1016/j.foodchem. 2019.01.120 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Analysis of proteomic responses of freeze-dried Oenococcus oeni to access the molecular mechanism of acid acclimation on cell freeze-drying resistance Kun Yang1,2, Yang Zhu3, Yiman Qi2,Tingjing Zhang4, Miaomiao Liu2, Jie Zhang2, Xinyuan Wei2, Mingtao Fan2,*, Guoqiang Zhang1,* 1 College of Biological and Chemical Engineering, Anhui Polytechnic University, Wuhu, 241000, China 2 College of Food Science and Engineering, Northwest A ＆ F University, Yangling, 712100, China 3 School of Agriculture and Food Sciences, University of Queensland, QLD, 4046, Australia 4 College of Food Science and Technology, Henan University of Technology, Zhenzhou, 450001, China * Corresponding author: 1.
    [Show full text]
  • The Metabolic Building Blocks of a Minimal Cell Supplementary
    The metabolic building blocks of a minimal cell Mariana Reyes-Prieto, Rosario Gil, Mercè Llabrés, Pere Palmer and Andrés Moya Supplementary material. Table S1. List of enzymes and reactions modified from Gabaldon et. al. (2007). n.i.: non identified. E.C. Name Reaction Gil et. al. 2004 Glass et. al. 2006 number 2.7.1.69 phosphotransferase system glc + pep → g6p + pyr PTS MG041, 069, 429 5.3.1.9 glucose-6-phosphate isomerase g6p ↔ f6p PGI MG111 2.7.1.11 6-phosphofructokinase f6p + atp → fbp + adp PFK MG215 4.1.2.13 fructose-1,6-bisphosphate aldolase fbp ↔ gdp + dhp FBA MG023 5.3.1.1 triose-phosphate isomerase gdp ↔ dhp TPI MG431 glyceraldehyde-3-phosphate gdp + nad + p ↔ bpg + 1.2.1.12 GAP MG301 dehydrogenase nadh 2.7.2.3 phosphoglycerate kinase bpg + adp ↔ 3pg + atp PGK MG300 5.4.2.1 phosphoglycerate mutase 3pg ↔ 2pg GPM MG430 4.2.1.11 enolase 2pg ↔ pep ENO MG407 2.7.1.40 pyruvate kinase pep + adp → pyr + atp PYK MG216 1.1.1.27 lactate dehydrogenase pyr + nadh ↔ lac + nad LDH MG460 1.1.1.94 sn-glycerol-3-phosphate dehydrogenase dhp + nadh → g3p + nad GPS n.i. 2.3.1.15 sn-glycerol-3-phosphate acyltransferase g3p + pal → mag PLSb n.i. 2.3.1.51 1-acyl-sn-glycerol-3-phosphate mag + pal → dag PLSc MG212 acyltransferase 2.7.7.41 phosphatidate cytidyltransferase dag + ctp → cdp-dag + pp CDS MG437 cdp-dag + ser → pser + 2.7.8.8 phosphatidylserine synthase PSS n.i. cmp 4.1.1.65 phosphatidylserine decarboxylase pser → peta PSD n.i.
    [Show full text]
  • NMR Spectroscopy and MD Simulations of Carbohydrates
    NMR spectroscopy and MD simul ations of carbohydrates Elin Säwén © Elin Säwén, Stockholm 2011 Cover picture: Five repeating units of the exopolysaccharide produced by Streptococcus thermophilus ST1 and a 1H NMR spectrum of the same exopolysaccharide. ISSN XXXX-XXXX ISBN XXX-XX-XXXXX-XX-X Printed in Sweden by US-AB, Stockholm 2011 Distributor: Department of Organic Chemistry, Stockholm University Till Ingrid Abstract Knowledge about the structure, conformation and dynamics of carbohydrates is important in our understanding of the way carbohydrates function in bio- logical systems, for example in intermolecular signaling and recognition. This thesis is a summary of five papers studying these properties in carbohy- drate-containing molecules with NMR spectroscopy and molecular dynamics simulations. In paper I, the ring-conformations of the six-membered rings of two car- baiduronic analogs were investigated. These carbasugars could potentially be used as hydrolytically stable mimics of iduronic acid in drugs. The study 4 showed that the equilibrium is entirely shifted towards the C1 conformation. Paper II is an investigation of the conformational flexibility and dynamics of two (1 →6)-linked disaccharides related to an oligosaccharide epitope expressed on malignant tumor cells. In paper III, the conformational space of the glycosidic linkage of the di- saccharide α-D-Man p-(1 →2)-α-D-Man p-OMe, which is present in N- and O- linked glycoproteins, was studied. A maximum entropy analysis using dif- ferent priors as background information was used and four new Karplus 3 3 equations for JC,C and JC,H coupling constants, related to the glycosidic linkage, were presented.
    [Show full text]
  • Synthesis and Sorting of Proteoglycans
    Journal of Cell Science 113, 193-205 (2000) 193 Printed in Great Britain © The Company of Biologists Limited 2000 JCS0690 COMMENTARY Synthesis and sorting of proteoglycans Kristian Prydz1,* and Knut Tomas Dalen2 1Department of Biochemistry and 2Institute for Nutrition Research, University of Oslo, Norway *Author for correspondence (e-mail: [email protected]) Published on WWW 13 January 2000 SUMMARY Proteoglycans are widely expressed in animal cells. type, which is acquired by use of particular Ser-Gly sites in Interactions between negatively charged glycosaminoglycan the protein core, might therefore be important for post- chains and molecules such as growth factors are essential for synthesis sorting. This links regulation of glycosaminoglycan differentiation of cells during development and maintenance synthesis to the post-Golgi fate of proteoglycans. of tissue organisation. We propose that glycosaminoglycan chains play a role in targeting of proteoglycans to their proper cellular or extracellular location. The variability seen Key words: Proteoglycan, Glycosaminoglycan, Sorting, Polarised in glycosaminoglycan chain structure from cell type to cell cell, Epithelial cell, Glycan INTRODUCTION VARIATION IN PROTEOGLYCAN COMPOSITION Proteoglycans (PGs) consist of a protein portion and long, PGs were initially grouped together because of the high unbranched polysaccharides (glycosaminoglycans or GAGs). negative charges of their GAG chains, which make separation The latter have a high negative charge, owing to the presence from other molecules by ion-exchange chromatography easy. of acidic sugar residues and/or modification by sulphate PGs are, however, not that similar. The core protein size ranges groups. The acidic sugar alternates with an amino sugar in from 10 kDa to >500 kDa, and the number of GAG chains repeated disaccharide units.
    [Show full text]
  • Pentose Phosphate Pathway and the Synthesis of Glycosides, Lactose, Glycoproteins, and Glycolipids
    Chapter 27 Pentose Phosphate Pathway and the Synthesis of Glycosides, Lactose, Glycoproteins, and Glycolipids Human Biochemistry • The pentose phosphate pathway (also known as the hexose monophosphate shunt [HMP shunt]) consists of both oxidative and nonoxidative components. • In the oxidative pathway, glucose 6- phosphate (glucose 6-P) is oxidized to ribulose 5-phosphate (ribulose 5-P), CO2, and NADPH. Ribulose 5-P, a pentose, can be converted to ribose 5-phosphate (ribose 5-P) for nucleotide biosynthesis. • The second stage of the pentose Overview of the pentose phosphate pathway. phosphate pathway generates ribose 5-P The pentose phosphate pathway generates NADPH and converts unused intermediates to for reactions that require reducing equivalents fructose 6-P and glyceraldehyde 3-P in (electrons) or ribose 5-P for nucleotide biosynthesis. the glycolytic pathway. Glucose 6-P is a substrate for both the pentose phosphate pathway and glycolysis. The five-carbon sugar intermediates of the pentose phosphate pathway are reversibly interconverted to intermediates of glycolysis. The portion of glycolysis that is not part of the pentose phosphate pathway is shown in red. • In the oxidative, first phase of the pentose phosphate pathway, glucose 6-P undergoes and oxidation and decarboxylation to a pentose sugar, ribulose 5-phosphate (ribulose 5-P). • The first enzyme of this pathway, glucose-6-phosphate dehydrogenase, oxidizes the aldehyde at carbon 1 and reduces NADP to NADPH. • The gluconolactone that is formed is rapidly hydrolyzed to 6- phosphogluconate, a sugar acid with a carboxylic acid group at carbon 1. • The next oxidation step releases this carboxyl group as CO2, with the electrons being transferred to NADP.
    [Show full text]
  • Salemcity, A.J Carbohydrate Chemistry Lecture
    BCM 210 LECTURE SALEMCITY, A.J CARBOHYDRATE CHEMISTRY • Carbohydrates (saccharides) are a large family of naturally occurring compounds including sugars, starches, and cellulose, as well as materials found in bacterial cell walls and insect exoskeletons. • Carbohydrates, in general, contain a C-C skeletal monomers bearing C=O and OH (and sometimes NH2) functional groups. SUGAR DERIVATIVES OF BIOLOGICAL IMPORTANCE • Monosaccharides undergo various reactions to form biologically important derivatives. • The important functional groups present in monosaccharides are hydroxyl and carbonyl groups. • The hydroxyl group forms phosphodiester bond, usually with phosphoric acid or is replaced by a hydrogen or amino group. • The carbonyl group undergoes reduction or oxidation to produce number of derived monosaccharides. • These derivatives include amino sugar, sugar acids, sugar phosphates, deoxy sugars, and sugar amides etc. Amino Sugars and N-acetylated sugars • The hydroxyl group, usually at C-2, is replaced by an amino group to produce amino sugars such as glucosamine, galactosamine and mannosamine. • The amino group may be condensed with acetic acid to produce N-acetyl amino sugars, for example, N-acetyl glucosamine. • This glucosamine derivative is important constituent of many structural polymers (chitin, bacterial cell wall polysaccharides etc.). Glucosamine: the systemic name is 2-Amino-2- deoxy-D-glucose. • Glucosamine is an amino sugar derived from glucose, produced in the body from the sugar glucose and the amino acid glutamine through the action of the enzyme glucosamine synthetase. • Glucosamine stimulates the synthesis of proteoglycans, glycosaminoglycans (also called mucopolysaccharides), and collagen. • Glycosaminoglycans are a major component of joint cartilage, supplemental glucosamine may help to rebuild cartilage and treat arthritis.
    [Show full text]
  • Biochemistry Introductory Lecture Dr
    Biochemistry Introductory lecture Dr. Munaf S. Daoud Carbohydrates (CHO) Definition: Aldehyde or Ketone derivatives of the higher polyhydric alcohols or compounds which yield these derivatives on hydrolysis. Classification: (mono, di, oligo, poly) saccharide. Monosaccharides: Can be classified as trioses, tetroses, pentoses, hexoses and heptoses depending upon the number of carbon atoms, and as aldoses or ketoses, depending upon whether they have an aldehyde or ketone group. Aldehyde (-CHO) Aldoses Ketone (-C=O) Ketoses Polysaccharides (glycans): Homopolysaccharides (homoglycans): e.g. starch, glycogen, inulin, cellulose, dextrins, dextrans. Heteropolysaccharides (heteroglycans): e.g. mucopolysaccharides (MPS) or glycosaminoglycans. Function of CHO: 1) Chief source of energy (immediate and stored energy). 2) Constituent of compound lipids and conjugated protein. 3) Structural element like cellulose. 4) Drugs like cardiac glycosides and antibodies. 5) Lactating mammary gland (Lactose in milk). 6) Synthesis of other substances like fatty acids, cholesterol, amino acids…etc. by their degradation products. 7) Constituent of mucopolysaccharides. 1 1) Stereo-isomerism Stereo-isomers: D-form, L-form 2) Optical isomers (optical activity) Enantiomers: dextrorotatory (d or + sign) Levorotatory (l or – sign) Racemic (d l) 3) Cyclic structures or open chain 4) Anomers and Anomeric carbon OH on carbon number 1, if below the plane then its -form, if above the plane then -form. Mutarotation: the changes of the initial optical rotation that takes place
    [Show full text]