Literature DB >> 34611874

N-glycan Characterization by Liquid Chromatography Coupled with Fluorimetry and Mass Spectrometry.

Richard A Gardner1, Paulina A Urbanowicz2, Daniel I R Spencer3.   

Abstract

Human blood plasma and serum have been a source of biomarkers for the indication and progression of many diseases for a few decades now. Human blood plasma is also an excellent source material to enable patients to monitor their health, with a multitude of biomarkers detectable for the assessment of health status. Blood sampling kits are increasingly available for use in the home with no specialist clinical skills required to obtain good quality samples for pathology lab analysis. Many of the proteins that constitute plasma are glycosylated with both N- and O-type glycans. There is increasing interest in the scientific community to identify potential glycan biomarkers or glycan features that are indicative of disease, and in particular disease at an early stage. The quality and reproducibility of glycan analysis data is key in order to identify and utilise glycan-based blood biomarkers with sufficient specificity and sensitivity; hence, the required analytical tools need to be robust. In this chapter, we describe an analytical method for the UHPLC separation of plasma N-glycans which utilizes both glycan reducing terminus fluorophore labeling, to ensure stoichiometric analysis of relative glycan abundance, and online mass spectrometry for glycan identification. Exoglycosidase digestions were employed as example technique to aid and enable structure identification.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomarker; Fluorophore; Glycoprofiling; Glycosylation; LC-MS; N-glycan; Plasma; Reductive amination

Mesh:

Substances:

Year:  2022        PMID: 34611874     DOI: 10.1007/978-1-0716-1685-7_13

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


  13 in total

1.  Analysis of Three Epoetin Alpha Products by LC and LC-MS Indicates Differences in Glycosylation Critical Quality Attributes, Including Sialic Acid Content.

Authors:  Rebecca I Thomson; Richard A Gardner; Katja Strohfeldt; Daryl L Fernandes; Graham P Stafford; Daniel I R Spencer; Helen M I Osborn
Journal:  Anal Chem       Date:  2017-06-09       Impact factor: 6.986

2.  A Robust and Versatile Automated Glycoanalytical Technology for Serum Antibodies and Acute Phase Proteins: Ovarian Cancer Case Study.

Authors:  Róisín O'Flaherty; Mohankumar Muniyappa; Ian Walsh; Henning Stöckmann; Mark Hilliard; Richard Hutson; Radka Saldova; Pauline M Rudd
Journal:  Mol Cell Proteomics       Date:  2019-08-30       Impact factor: 5.911

3.  Comparison of procainamide and 2-aminobenzamide labeling for profiling and identification of glycans by liquid chromatography with fluorescence detection coupled to electrospray ionization-mass spectrometry.

Authors:  Radoslaw P Kozak; Concepcion Badia Tortosa; Daryl L Fernandes; Daniel I R Spencer
Journal:  Anal Biochem       Date:  2015-06-12       Impact factor: 3.365

4.  Optimized workflow for preparation of APTS-labeled N-glycans allowing high-throughput analysis of human plasma glycomes using 48-channel multiplexed CGE-LIF.

Authors:  L Renee Ruhaak; René Hennig; Carolin Huhn; Matthias Borowiak; Radboud J E M Dolhain; André M Deelder; Erdmann Rapp; Manfred Wuhrer
Journal:  J Proteome Res       Date:  2010-11-02       Impact factor: 4.466

Review 5.  Glycosylation and its implications in breast cancer.

Authors:  Danielle A Scott; Richard R Drake
Journal:  Expert Rev Proteomics       Date:  2019-07-25       Impact factor: 3.940

6.  High-throughput Serum N-Glycomics: Method Comparison and Application to Study Rheumatoid Arthritis and Pregnancy-associated Changes.

Authors:  Karli R Reiding; Albert Bondt; René Hennig; Richard A Gardner; Roisin O'Flaherty; Irena Trbojević-Akmačić; Archana Shubhakar; Johanna M W Hazes; Udo Reichl; Daryl L Fernandes; Maja Pučić-Baković; Erdmann Rapp; Daniel I R Spencer; Radboud J E M Dolhain; Pauline M Rudd; Gordan Lauc; Manfred Wuhrer
Journal:  Mol Cell Proteomics       Date:  2018-09-21       Impact factor: 5.911

7.  Mutations in HNF1A result in marked alterations of plasma glycan profile.

Authors:  Gaya Thanabalasingham; Jennifer E Huffman; Jayesh J Kattla; Mislav Novokmet; Igor Rudan; Anna L Gloyn; Caroline Hayward; Barbara Adamczyk; Rebecca M Reynolds; Ana Muzinic; Neelam Hassanali; Maja Pucic; Amanda J Bennett; Abdelkader Essafi; Ozren Polasek; Saima A Mughal; Irma Redzic; Dragan Primorac; Lina Zgaga; Ivana Kolcic; Torben Hansen; Daniela Gasperikova; Erling Tjora; Mark W J Strachan; Trine Nielsen; Juraj Stanik; Iwar Klimes; Oluf B Pedersen; Pål R Njølstad; Sarah H Wild; Ulf Gyllensten; Olga Gornik; James F Wilson; Nicholas D Hastie; Harry Campbell; Mark I McCarthy; Pauline M Rudd; Katharine R Owen; Gordan Lauc; Alan F Wright
Journal:  Diabetes       Date:  2012-12-28       Impact factor: 9.461

8.  Correction: changes to serum sample tube and processing methodology does not cause inter-individual variation in automated whole serum N-glycan profiling in health and disease.

Authors:  Nicholas T Ventham; Richard A Gardner; Nicholas A Kennedy; Archana Shubhakar; Rahul Kalla; Elaine R Nimmo; Daryl L Fernandes; Jack Satsangi; Daniel I R Spencer
Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

9.  Metformin and statin use associate with plasma protein N-glycosylation in people with type 2 diabetes.

Authors:  Sunny S Singh; Annemieke Naber; Viktoria Dotz; Emma Schoep; Elham Memarian; Roderick C Slieker; Petra J M Elders; Gerda Vreeker; Simone Nicolardi; Manfred Wuhrer; Eric J G Sijbrands; Aloysius G Lieverse; Leen M 't Hart; Mandy van Hoek
Journal:  BMJ Open Diabetes Res Care       Date:  2020-07

10.  Serum N-glycan profiling is a potential biomarker for castration-resistant prostate cancer.

Authors:  Teppei Matsumoto; Shingo Hatakeyama; Tohru Yoneyama; Yuki Tobisawa; Yusuke Ishibashi; Hayato Yamamoto; Takahiro Yoneyama; Yasuhiro Hashimoto; Hiroyuki Ito; Shin-Ichiro Nishimura; Chikara Ohyama
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

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