Sialobiology: Structure, Biosynthesis and Function. Sialic Acid Glycoconjugates in Health and Disease

Author(s): Sebastian P. Galuska

DOI: 10.2174/9781608053865113010016

Advances in Sialic Acid and Polysialic Acid Detection Methodologies

Pp: 448-475 (28)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

The functions of sialic acids (Sia) in the biology of animals are multifarious and depend especially on their type, number and localization in glycolipids and glycoproteins. So far various strategies have been developed to answer the listed questions posed in the text. For the general detection of Sia several colorimetric and fluorometric assays are available. To distinguish between the different types of Sia, chromatographic separation methods, such as, gas chromatography (GC) and high-performance liquid chromatography (HPLC) are necessary. Moreover, combination with mass spectrometry (MS) facilitates the identification of a Sia. Since Sia are also present as dimers, trimers, oligomers and polymers on glycoconjugates HPLC- and MS-based approaches were also developed for their detection and composition analysis, as well as determination of the degree of polymerization. In addition to chemical methods, biochemical tools like specific antibodies, enzymes and lectins are available to determine the type of Sia, the degree of polymerization and their linkage type and position in a glycoconjugate as well as their localization to the cell surface. Nevertheless, no method is presently available for a complete analysis. A comprehensive and detailed characterization requires a combination of different analytical methods to avoid errors in interpretation of the obtained data. This chapter summarizes the diverse analytical strategies for the analysis of Sia. Both, the advantages and disadvantages of the present methods and, in addition, the possibility to combine different methods to obtain meaningful results are described.

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