Software Platform for High-Throughput Glycomics

Mass spectrometry (MS) is a key tool for structural analysis of oligosaccharides because of its high accuracy, sensitivity, and speed on one hand and because of the general and flexible protocols on the other. In glycomics projects the analysis of mass spectra is the speed determining step because,...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2009-05, Vol.81 (9), p.3252-3260
Main Authors: Vakhrushev, S. Y, Dadimov, D, Peter-Katalinić, J
Format: Article
Language:English
Subjects:
Accuracy
Analytical chemistry
Chemistry
Databases, Factual
Exact sciences and technology
Glycomics - methods
Glycosylation
Humans
Isotopes - chemistry
Mass Spectrometry
Models, Molecular
Molecular structure
Polysaccharides - chemistry
Polysaccharides - metabolism
Polysaccharides - urine
Proteomics
Reproducibility of Results
Software
Spectrometric and optical methods
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Summary:Mass spectrometry (MS) is a key tool for structural analysis of oligosaccharides because of its high accuracy, sensitivity, and speed on one hand and because of the general and flexible protocols on the other. In glycomics projects the analysis of mass spectra is the speed determining step because, unlike in proteomics, software platforms for high-throughput glycan mass spectra interpretation are not fully automated and still depend on highly specialized knowledge. For the publicly available software, initial steps for manual MS data preprocessing are required mostly considering operations with glycan structures already stored in databases. In particular, monoisotopic peaks have to be manually determined or imported. In this contribution we describe our development of a platform for MS data evaluation in glycomics that demands only a low human intervention. The proposed platform named SysBioWare is constructed to allow import of the raw MS data to the spectrum browser and to perform isotopic grouping of detected peaks after de-noising and wavelet analysis. Monoisotopic m/z values render peak list association with the raw MS spectrum and allow compositional assignment according to the tuned building block library. This platform has been applied to human urine glycome as a potent tool for rapid assignment of already known or/and novel structures.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac802408f