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

Research output: Contribution to journalJournal article

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  • Timothy R Rudd
  • Mark A Skidmore
  • Scott E Guimond
  • Cesare Cosentino
  • Giangiacomo Torri
  • David G Fernig
  • Robert M Lauder
  • Marco Guerrini
  • Edwin A Yates
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<mark>Journal publication date</mark>2009
<mark>Journal</mark>Glycobiology
Issue number1
Volume19
Number of pages16
Pages (from-to)52-67
Publication StatusPublished
<mark>Original language</mark>English

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.