Densitometric quantification of brain gangliosides separated by two-dimensional thin layer chromatography

Vanna Chigorno, Sandro Sonnino, Riccardo Ghidoni, Guido Tettamanti

Research output: Contribution to journalArticle

Abstract

A procedure for accurate densitometric quantification of gangliosides separated by two-dimensional thin layer chromatography is reported. The procedure was set up employing 9 different pure gangliosides and was applied to the analysis of calf and pig brain gangliosides. Silica gel high performance thin layer plates, 10 × 10 cm. were two-dimensionally developed at 18-20 C with the following solvents: chloroform methanol 0.2% aqueous CaCl2, 50/40/10 by volume, for the first run; n-propanol 17 M NH4OH/water, 6/2/1 by volume for the second run. Ganglioside spots were visualized by spraying with an Ehrlich reagent, which is specific for sialic acid, and heating at 120 C for 15 min. The spots were quantified by sequential scanning densitometry, linear responses being obtained for ganglioside amounts on the plate ranging from 0.1 to 6 nmol as bound sialic acid. The reproducibility of densitometric responses resulted to be acceptable since the standard deviation values were lower than ± 15% of the mean values also for those ganglioside species contained in minor proportions. The ganglioside mixtures of calf and pig brain were resolved in about 20 spots. Of these 9 corresponded to gangliosides GM3, GM2, GM1, Fuc-GM1, GD1a, GD1b, Fuc-GD1b, GT1b and GQ1b, which were identified with certainty and quantified. The identification of GM3 (carrying N-glycolylneuraminic acid), GD3, GD1a (carrying N-acetyl- and N-glycolyl-neuraminic acid) and GT1a was only tentative. All the other spots corresponded to unidentified gangliosides, some of them possibly new species.

Original languageEnglish
Pages (from-to)397-404
Number of pages8
JournalNeurochemistry International
Volume4
Issue number5
DOIs
Publication statusPublished - 1982

ASJC Scopus subject areas

  • Cell Biology
  • Molecular Biology
  • Cellular and Molecular Neuroscience

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