Literature DB >> 34611866

Comparative Glycomics Analysis of Mass Spectrometry Data.

Yusen Zhou1, Sriram Neelamegham2.   

Abstract

Glycan profiling is a common strategy that is used to determine the distribution of N-linked glycans, O-linked glycans and glycolipid associated complex carbohydrate structures that are part of various cell and tissue sources. Such data are central to our understanding of functional glycomics, and this knowledge can also be used for pathway construction and other applications in the field of Systems Glycobiology. Glycans released from cell/tissue samples are often studied in their free-form. They can also be functionalized with aglycones like 2-aminobenzamide (2AB) and procainamide to enhance separation and improve ionization during liquid chromatography/mass spectrometry. Additionally, these released glycans may be permethylated in order to improve glycan quantitation. In such work, besides studying the glycans in a single sample, there is also interest in comparing multiple samples in order to determine underlying similarities and differences, for example in terms of specific epitopes that are changed when cells of the same origin differentiate along different pathways. The current chapter describes the development and usage of cGlyco ("comparative Glycomics"), an open-source program that can be used to compare data from multiple mass spectrometry runs. As an example, we apply cGlyco to compare the glycan profile of multiple MALDI-TOF glycomics profiling data collected by core-C of the Consortium for Functional Glycomics (CFG).
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Consortium for functional Glycomics; Glycoinformatics; Glycomics; MALDI-TOF; Mass spectrometry; Open source; Software

Mesh:

Substances:

Year:  2022        PMID: 34611866     DOI: 10.1007/978-1-0716-1685-7_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  Comparison of the methods for profiling glycoprotein glycans--HUPO Human Disease Glycomics/Proteome Initiative multi-institutional study.

Authors:  Yoshinao Wada; Parastoo Azadi; Catherine E Costello; Anne Dell; Raymond A Dwek; Hildegard Geyer; Rudolf Geyer; Kazuaki Kakehi; Niclas G Karlsson; Koichi Kato; Nana Kawasaki; Kay-Hooi Khoo; Soohyun Kim; Akihiro Kondo; Erika Lattova; Yehia Mechref; Eiji Miyoshi; Kazuyuki Nakamura; Hisashi Narimatsu; Milos V Novotny; Nicolle H Packer; Hélène Perreault; Jasna Peter-Katalinic; Gottfried Pohlentz; Vernon N Reinhold; Pauline M Rudd; Akemi Suzuki; Naoyuki Taniguchi
Journal:  Glycobiology       Date:  2007-01-12       Impact factor: 4.313

Review 2.  Systems glycobiology: biochemical reaction networks regulating glycan structure and function.

Authors:  Sriram Neelamegham; Gang Liu
Journal:  Glycobiology       Date:  2011-03-24       Impact factor: 4.313

Review 3.  Multi-level regulation of cellular glycosylation: from genes to transcript to enzyme to structure.

Authors:  Sriram Neelamegham; Lara K Mahal
Journal:  Curr Opin Struct Biol       Date:  2016-10-13       Impact factor: 6.809

4.  Quantitation of permethylated N-glycans through multiple-reaction monitoring (MRM) LC-MS/MS.

Authors:  Shiyue Zhou; Yunli Hu; Janie L DeSantos-Garcia; Yehia Mechref
Journal:  J Am Soc Mass Spectrom       Date:  2015-02-20       Impact factor: 3.109

Review 5.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

6.  ST3Gal-4 is the primary sialyltransferase regulating the synthesis of E-, P-, and L-selectin ligands on human myeloid leukocytes.

Authors:  Nandini Mondal; Alexander Buffone; Gino Stolfa; Aristotelis Antonopoulos; Joseph T Y Lau; Stuart M Haslam; Anne Dell; Sriram Neelamegham
Journal:  Blood       Date:  2014-12-10       Impact factor: 22.113

7.  Thioglycosides Are Efficient Metabolic Decoys of Glycosylation that Reduce Selectin Dependent Leukocyte Adhesion.

Authors:  Shuen-Shiuan Wang; Xuefeng Gao; Virginia Del Solar; Xinheng Yu; Aristotelis Antonopoulos; Alan E Friedman; Eryn K Matich; G Ekin Atilla-Gokcumen; Mehrab Nasirikenari; Joseph T Lau; Anne Dell; Stuart M Haslam; Roger A Laine; Khushi L Matta; Sriram Neelamegham
Journal:  Cell Chem Biol       Date:  2018-10-18       Impact factor: 8.116

8.  Comparative Glycomics Study of Cell-Surface N-Glycomes of HepG2 versus LO2 Cell Lines.

Authors:  Yuyin Han; Kaijie Xiao; Zhixin Tian
Journal:  J Proteome Res       Date:  2018-10-29       Impact factor: 4.466

9.  Comparative Glycomics of Immunoglobulin A and G From Saliva and Plasma Reveals Biomarker Potential.

Authors:  Rosina Plomp; Noortje de Haan; Albert Bondt; Jayshri Murli; Viktoria Dotz; Manfred Wuhrer
Journal:  Front Immunol       Date:  2018-10-23       Impact factor: 7.561

10.  A computational framework for the automated construction of glycosylation reaction networks.

Authors:  Gang Liu; Sriram Neelamegham
Journal:  PLoS One       Date:  2014-06-30       Impact factor: 3.240

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