Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry

Chuan Yih Yu, Anoop Mayampurath, Yunli Hu, Shiyue Zhou, Yehia Mechref, Haixu Tang

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

Summary: As a common post-translational modification, protein glycosylation plays an important role in many biological processes, and it is known to be associated with human diseases. Mass spectrometry (MS)-based glycomic profiling techniques have been developed to measure the abundances of glycans in complex biological samples and applied to the discovery of putative glycan biomarkers. To automate the annotation of glycomic profiles in the liquid chromatography-MS (LC-MS) data, we present here a user-friendly software tool, MultiGlycan, implemented in C# on Windows systems. We tested MultiGlycan by using several glycomic profiling datasets acquired using LC-MS under different preparations and show that MultiGlycan executes fast and generates robust and reliable results.

Original languageEnglish
Pages (from-to)1706-1707
Number of pages2
JournalBioinformatics
Volume29
Issue number13
DOIs
StatePublished - Jul 1 2013

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