Literature DB >> 18832453

Glycosaminoglycan origin and structure revealed by multivariate analysis of NMR and CD spectra.

Timothy R Rudd1, Mark A Skidmore, Scott E Guimond, Cesare Cosentino, Giangiacomo Torri, David G Fernig, Robert M Lauder, Marco Guerrini, Edwin A Yates.   

Abstract

Principal component analysis (PCA) is a method of simplifying complex datasets to generate a lower number of parameters, while retaining the essential differences and allowing objective comparison of large numbers of datasets. Glycosaminoglycans (GAGs) are a class of linear sulfated carbohydrates with diverse sequences and consequent complex conformation and structure. Here, PCA is applied to three problems in GAG research: (i) distinguishing origins of heparin preparations, (ii) structural analysis of heparin derivatives, and (iii) classification of chondroitin sulfates (CS). The results revealed the following. (i) PCA of heparin (13)C NMR spectra allowed their origins to be distinguished and structural differences were identified. (ii) Analysis of the information-rich (1)H and (13)C NMR spectra of a series of systematically modified heparin derivatives uncovered underlying properties. These included the presence of interactions between residues, providing evidence that a degree of degeneracy exists in linkage geometry and that a different degree of variability exists for the two types of glycosidic linkage. The relative sensitivity of each position (C or H nucleus) in the disaccharide repeating unit to changes in O-, N-sulfation and N-acetylation was also revealed. (iii) Analysis of the (1)H NMR and CD spectra of a series of CS samples from different origins allowed their structural classification and highlighted the power of employing complementary spectroscopic methods in concert with PCA.

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Year:  2008        PMID: 18832453     DOI: 10.1093/glycob/cwn103

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  9 in total

1.  Preparation, separation, and conformational analysis of differentially sulfated heparin octasaccharide isomers using ion mobility mass spectrometry.

Authors:  Youjin Seo; Armann Andaya; Julie A Leary
Journal:  Anal Chem       Date:  2012-02-14       Impact factor: 6.986

2.  Mobility shift-based electrophoresis coupled with fluorescent detection enables real-time enzyme analysis of carbohydrate sulfatase activity.

Authors:  Dominic P Byrne; James A London; Patrick A Eyers; Edwin A Yates; Alan Cartmell
Journal:  Biochem J       Date:  2021-02-26       Impact factor: 3.857

Review 3.  Recent advances in biotechnology for heparin and heparan sulfate analysis.

Authors:  Meng Qiao; Lei Lin; Ke Xia; Jun Li; Xing Zhang; Robert J Linhardt
Journal:  Talanta       Date:  2020-06-14       Impact factor: 6.057

4.  Rapid purification and high sensitivity analysis of heparan sulfate from cells and tissues: toward glycomics profiling.

Authors:  Scott E Guimond; Tania M Puvirajesinghe; Mark A Skidmore; Ina Kalus; Thomas Dierks; Edwin A Yates; Jeremy E Turnbull
Journal:  J Biol Chem       Date:  2009-07-13       Impact factor: 5.157

5.  A new approach for heparin standardization: combination of scanning UV spectroscopy, nuclear magnetic resonance and principal component analysis.

Authors:  Marcelo A Lima; Timothy R Rudd; Eduardo H C de Farias; Lyvia F Ebner; Tarsis F Gesteira; Lauro M de Souza; Aline Mendes; Carolina R Córdula; João R M Martins; Debra Hoppensteadt; Jawed Fareed; Guilherme L Sassaki; Edwin A Yates; Ivarne L S Tersariol; Helena B Nader
Journal:  PLoS One       Date:  2011-01-18       Impact factor: 3.240

Review 6.  Development and use of sulodexide in vascular diseases: implications for treatment.

Authors:  Sergio Coccheri; Ferdinando Mannello
Journal:  Drug Des Devel Ther       Date:  2013-12-24       Impact factor: 4.162

7.  Molecular Origins of the Compatibility between Glycosaminoglycans and Aβ40 Amyloid Fibrils.

Authors:  Katie L Stewart; Eleri Hughes; Edwin A Yates; David A Middleton; Sheena E Radford
Journal:  J Mol Biol       Date:  2017-07-10       Impact factor: 6.151

8.  Combinatorial roles of heparan sulfate proteoglycans and heparan sulfates in Caenorhabditis elegans neural development.

Authors:  Tarja K Kinnunen
Journal:  PLoS One       Date:  2014-07-23       Impact factor: 3.240

9.  Heparin binding preference and structures in the fibroblast growth factor family parallel their evolutionary diversification.

Authors:  Yong Li; Changye Sun; Edwin A Yates; Chao Jiang; Mark C Wilkinson; David G Fernig
Journal:  Open Biol       Date:  2016-03       Impact factor: 6.411

  9 in total

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