Literature DB >> 35452871

Measuring change in glycoprotein structure.

Mary Rachel Nalehua1, Joseph Zaia2.   

Abstract

Biosynthetic enzymes in the secretory pathway create distributions of glycans at each glycosite that elaborate the biophysical properties and biological functions of glycoproteins. Because the biosynthetic glycosylation reactions do not go to completion, each protein glycosite is heterogeneous with respect to glycosylation. This heterogeneity means that it is not sufficient to measure protein abundance in omics experiments. Rather, it is necessary to sample the distribution of glycosylation at each glycosite to quantify the changes that occur during biological processes. On the one hand, the use of data-dependent acquisition methods to sample glycopeptides is limited by the instrument duty cycle and the missing value problem. On the other, stepped window data-independent acquisition samples all precursors, but ion abundances are limited by duty cycle. Therefore, the ability to quantify accurately the flux in glycoprotein glycosylation that occurs during biological processes requires the exploitation of emerging mass spectrometry technologies capable of deep, comprehensive sampling and selective high confidence assignment of the complex glycopeptide mixtures. This review summarizes recent technical advances and mass spectral glycoproteomics analysis strategies and how these developments impact our ability to quantify the changes in glycosylation that occur during biological processes. We highlight specific improvements to glycopeptide characterization through activated electron dissociation, ion mobility trends and instrumentation, and efficient algorithmic approaches for glycopeptide assignment. We also discuss the emerging need for unified standards to enable interlaboratory collaborations and effective monitoring of structural changes in glycoproteins.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2022        PMID: 35452871      PMCID: PMC9188990          DOI: 10.1016/j.sbi.2022.102371

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   7.786


  57 in total

1.  Glycans, Glycosite, and Intact Glycopeptide Analysis of N-Linked Glycoproteins Using Liquid Handling Systems.

Authors:  Shao-Yung Chen; Mingming Dong; Ganglong Yang; Yangying Zhou; David J Clark; T Mamie Lih; Michael Schnaubelt; Zichen Liu; Hui Zhang
Journal:  Anal Chem       Date:  2020-01-03       Impact factor: 6.986

2.  SLIM Ultrahigh Resolution Ion Mobility Spectrometry Separations of Isotopologues and Isotopomers Reveal Mobility Shifts due to Mass Distribution Changes.

Authors:  Roza Wojcik; Gabe Nagy; Isaac K Attah; Ian K Webb; Sandilya V B Garimella; Karl K Weitz; Adam Hollerbach; Matthew E Monroe; Marshall R Ligare; Felicity F Nielson; Randolph V Norheim; Ryan S Renslow; Thomas O Metz; Yehia M Ibrahim; Richard D Smith
Journal:  Anal Chem       Date:  2019-09-06       Impact factor: 6.986

3.  Boronic acid-functionalized mesoporous magnetic particles with a hydrophilic surface for the multimodal enrichment of glycopeptides for glycoproteomics.

Authors:  Lujie Yang; Quanqing Zhang; Yuanyu Huang; Ling Lin; Hartmut Schlüter; Ke Wang; Cuiping Zhang; Pengyuan Yang; Hongxiu Yu
Journal:  Analyst       Date:  2020-07-03       Impact factor: 4.616

4.  Open Database Searching Enables the Identification and Comparison of Bacterial Glycoproteomes without Defining Glycan Compositions Prior to Searching.

Authors:  Ameera Raudah Ahmad Izaham; Nichollas E Scott
Journal:  Mol Cell Proteomics       Date:  2020-06-23       Impact factor: 5.911

5.  Deducing the N- and O-glycosylation profile of the spike protein of novel coronavirus SARS-CoV-2.

Authors:  Asif Shajahan; Nitin T Supekar; Anne S Gleinich; Parastoo Azadi
Journal:  Glycobiology       Date:  2020-12-09       Impact factor: 4.313

6.  Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis.

Authors:  Nicholas M Riley; Alexander S Hebert; Michael S Westphall; Joshua J Coon
Journal:  Nat Commun       Date:  2019-03-21       Impact factor: 14.919

7.  NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods.

Authors:  Maria Lorna A De Leoz; David L Duewer; Adam Fung; Lily Liu; Hoi Kei Yau; Oscar Potter; Gregory O Staples; Kenichiro Furuki; Ruth Frenkel; Yunli Hu; Zoran Sosic; Peiqing Zhang; Friedrich Altmann; Clemens Grunwald-Grube; Chun Shao; Joseph Zaia; Waltraud Evers; Stuart Pengelley; Detlev Suckau; Anja Wiechmann; Anja Resemann; Wolfgang Jabs; Alain Beck; John W Froehlich; Chuncui Huang; Yan Li; Yaming Liu; Shiwei Sun; Yaojun Wang; Youngsuk Seo; Hyun Joo An; Niels-Christian Reichardt; Juan Echevarria Ruiz; Stephanie Archer-Hartmann; Parastoo Azadi; Len Bell; Zsuzsanna Lakos; Yanming An; John F Cipollo; Maja Pucic-Bakovic; Jerko Štambuk; Gordan Lauc; Xu Li; Peng George Wang; Andreas Bock; René Hennig; Erdmann Rapp; Marybeth Creskey; Terry D Cyr; Miyako Nakano; Taiki Sugiyama; Pui-King Amy Leung; Paweł Link-Lenczowski; Jolanta Jaworek; Shuang Yang; Hui Zhang; Tim Kelly; Song Klapoetke; Rui Cao; Jin Young Kim; Hyun Kyoung Lee; Ju Yeon Lee; Jong Shin Yoo; Sa-Rang Kim; Soo-Kyung Suh; Noortje de Haan; David Falck; Guinevere S M Lageveen-Kammeijer; Manfred Wuhrer; Robert J Emery; Radoslaw P Kozak; Li Phing Liew; Louise Royle; Paulina A Urbanowicz; Nicolle H Packer; Xiaomin Song; Arun Everest-Dass; Erika Lattová; Samanta Cajic; Kathirvel Alagesan; Daniel Kolarich; Toyin Kasali; Viv Lindo; Yuetian Chen; Kudrat Goswami; Brian Gau; Ravi Amunugama; Richard Jones; Corné J M Stroop; Koichi Kato; Hirokazu Yagi; Sachiko Kondo; C T Yuen; Akira Harazono; Xiaofeng Shi; Paula E Magnelli; Brian T Kasper; Lara Mahal; David J Harvey; Roisin O'Flaherty; Pauline M Rudd; Radka Saldova; Elizabeth S Hecht; David C Muddiman; Jichao Kang; Prachi Bhoskar; Daniele Menard; Andrew Saati; Christine Merle; Steven Mast; Sam Tep; Jennie Truong; Takashi Nishikaze; Sadanori Sekiya; Aaron Shafer; Sohei Funaoka; Masaaki Toyoda; Peter de Vreugd; Cassie Caron; Pralima Pradhan; Niclas Chiang Tan; Yehia Mechref; Sachin Patil; Jeffrey S Rohrer; Ranjan Chakrabarti; Disha Dadke; Mohammedazam Lahori; Chunxia Zou; Christopher Cairo; Béla Reiz; Randy M Whittal; Carlito B Lebrilla; Lauren Wu; Andras Guttman; Marton Szigeti; Benjamin G Kremkow; Kelvin H Lee; Carina Sihlbom; Barbara Adamczyk; Chunsheng Jin; Niclas G Karlsson; Jessica Örnros; Göran Larson; Jonas Nilsson; Bernd Meyer; Alena Wiegandt; Emy Komatsu; Helene Perreault; Edward D Bodnar; Nassur Said; Yannis-Nicolas Francois; Emmanuelle Leize-Wagner; Sandra Maier; Anne Zeck; Albert J R Heck; Yang Yang; Rob Haselberg; Ying Qing Yu; William Alley; Joseph W Leone; Hua Yuan; Stephen E Stein
Journal:  Mol Cell Proteomics       Date:  2019-10-07       Impact factor: 5.911

8.  Optimal Dissociation Methods Differ for N- and O-Glycopeptides.

Authors:  Nicholas M Riley; Stacy A Malaker; Marc D Driessen; Carolyn R Bertozzi
Journal:  J Proteome Res       Date:  2020-06-28       Impact factor: 4.466

9.  Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts.

Authors:  Catherine G Vasilopoulou; Karolina Sulek; Andreas-David Brunner; Ningombam Sanjib Meitei; Ulrike Schweiger-Hufnagel; Sven W Meyer; Aiko Barsch; Matthias Mann; Florian Meier
Journal:  Nat Commun       Date:  2020-01-16       Impact factor: 14.919

10.  Identification, mapping and relative quantitation of SARS-CoV-2 Spike glycopeptides by Mass-Retention Time Fingerprinting.

Authors:  Rod Chalk; William E P Greenland; Tiago Moreira; Jesse Coker; Shubhashish M M Mukhopadhyay; Eleanor Williams; Charlotte Manning; Tina Bohstedt; Rama McCrorie; Alejandra Fernandez-Cid; Nicola A Burgess-Brown
Journal:  Commun Biol       Date:  2021-08-03
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