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Comparison of Methods for Profiling O-Glycosylation

Authors :
Carlito B. Lebrilla
Naoyuki Taniguchi
Anne Dell
Erina Ohno
Akihiro Kondo
Malin Bäckström
Kazuaki Kakehi
Kay-Hooi Khoo
Michiko Tajiri
Elizabeth Palaima
Hiromi Ito
Yoshiyuki Hiki
Bérangère Tissot
Catherine E. Costello
Jan Novak
Milos V. Novotny
Hirokazu Yagi
Miyako Nakano
Parastoo Azadi
Nana Kawasaki
Koichi Kato
Mayumi Ishihara
Nicolle H. Packer
Catherine A. Hayes
Kevin Canis
Daniel Kolarich
Stuart M. Haslam
Gunnar C. Hansson
Hisashi Narimatsu
Kunihiko Kobayashi
Matthew B. Renfrow
Kristina A. Thomsson
Yoshinao Wada
Niclas G. Karlsson
Shin-Yi Yu
Source :
Molecular & Cellular Proteomics. 9:719-727
Publication Year :
2010
Publisher :
Elsevier BV, 2010.

Abstract

The Human Proteome Organisation Human Disease Glycomics/Proteome Initiative recently coordinated a multiinstitutional study that evaluated methodologies that are widely used for defining the N-glycan content in glycoproteins. The study convincingly endorsed mass spectrometry as the technique of choice for glycomic profiling in the discovery phase of diagnostic research. The present study reports the extension of the Human Disease Glycomics/ Proteome Initiative's activities to an assessment of the methodologies currently used for O-glycan analysis. Three samples of IgA1 isolated from the serum of patients with multiple myeloma were distributed to 15 laboratories worldwide for O-glycomics analysis. A variety of mass spectrometric and chromatographic procedures representative of current methodologies were used. Similar to the previous N-glycan study, the results convincingly confirmed the pre-eminent performance of MS for O-glycan profiling. Two general strategies were found to give the most reliable data, namely direct MS analysis of mixtures of permethylated reduced glycans in the positive ion mode and analysis of native reduced glycans in the negative ion mode using LC-MS approaches. In addition, mass spectrometric methodologies to analyze O-glycopeptides were also successful. Molecular & Cellular Proteomics 9: 719-727, 2010.

Details

ISSN :
15359476
Volume :
9
Database :
OpenAIRE
Journal :
Molecular & Cellular Proteomics
Accession number :
edsair.doi.dedup.....0e8c6ec9305761848269c1e997a82382