Literature DB >> 26202417

Glycosylation Analysis of Engineered H3N2 Influenza A Virus Hemagglutinins with Sequentially Added Historically Relevant Glycosylation Sites.

Yanming An1, Jonathan A McCullers2,3, Irina Alymova2,4, Lisa M Parsons1, John F Cipollo1.   

Abstract

The influenza virus surface glycoprotein hemagglutinin (HA) is the major target of host neutralizing antibodies. The oligosaccharides of HA can contribute to HA's antigenic characteristics. After a leap to humans from a zoonotic host, influenza can gain N-glycosylation sequons over time as part of its fitness strategy. This glycosylation expansion has not been studied at the structural level. Here we examine HA N-glycosylation of H3N2 virus strains that we have engineered to closely mimic glycosylation sites gained between 1968 through 2002 starting with pandemic A/Hong Kong/1/68 (H3N2: HK68). HAs studied include HK68 and engineered forms with 1, 2, and 4 added sites. We have used: nano-LC-MS(E) for glycopeptide composition, sequence and site occupancy analysis, and MALDI-TOF MS permethylation profiling for characterization of released glycans. Our study reveals that 1) the majority of N-sequons are occupied at ≥90%, 2) the class and complexity of the glycans varies by region over the landscape of the proteins, 3) Asn 165 and Asn 246, which are associated with interactions between HA and SP-D lung collectin, are exclusively high mannose type. Based on this study and previous reports we provide structural insight as to how the immune system responses may differ depending on HA glycosylation.

Entities:  

Keywords:  H3N2; LC−MS; SP-D; antigenic site; glycan; glycopeptide; glycoprotein; hemagglutinin; influenza; mass spectrometry

Mesh:

Substances:

Year:  2015        PMID: 26202417     DOI: 10.1021/acs.jproteome.5b00416

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  32 in total

Review 1.  Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.

Authors:  John F Cipollo; Lisa M Parsons
Journal:  Mass Spectrom Rev       Date:  2020-04-29       Impact factor: 10.946

Review 2.  Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.

Authors:  Morten Thaysen-Andersen; Nicolle H Packer; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-02-29       Impact factor: 5.911

Review 3.  Why Glycosylation Matters in Building a Better Flu Vaccine.

Authors:  Deborah Chang; Joseph Zaia
Journal:  Mol Cell Proteomics       Date:  2019-10-11       Impact factor: 5.911

Review 4.  Methods for quantification of glycopeptides by liquid separation and mass spectrometry.

Authors:  Haidi Yin; Jianhui Zhu
Journal:  Mass Spectrom Rev       Date:  2022-01-31       Impact factor: 9.011

Review 5.  Recent advances in mass spectrometric analysis of glycoproteins.

Authors:  Alireza Banazadeh; Lucas Veillon; Kerry M Wooding; Masoud Zabet-Moghaddam; Yehia Mechref
Journal:  Electrophoresis       Date:  2016-12-15       Impact factor: 3.535

6.  Impact of Protein Glycosylation on the Design of Viral Vaccines.

Authors:  Kathleen Schön; Bernd Lepenies; Guillaume Goyette-Desjardins
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

7.  N-Glycosylation of Seasonal Influenza Vaccine Hemagglutinins: Implication for Potency Testing and Immune Processing.

Authors:  Yanming An; Lisa M Parsons; Ewa Jankowska; Darya Melnyk; Manju Joshi; John F Cipollo
Journal:  J Virol       Date:  2019-01-04       Impact factor: 5.103

Review 8.  New insights into influenza A specificity: an evolution of paradigms.

Authors:  Ye Ji; Yohanna Jb White; Jodi A Hadden; Oliver C Grant; Robert J Woods
Journal:  Curr Opin Struct Biol       Date:  2017-07-01       Impact factor: 6.809

9.  Influenza Virus Hemagglutinins H2, H5, H6, and H11 Are Not Targets of Pulmonary Surfactant Protein D: N-Glycan Subtypes in Host-Pathogen Interactions.

Authors:  Lisa M Parsons; Yanming An; Li Qi; Mitchell R White; Roosmarijn van der Woude; Kevan L Hartshorn; Jeffery K Taubenberger; Robert P de Vries; John F Cipollo
Journal:  J Virol       Date:  2020-02-14       Impact factor: 5.103

10.  A Perfect Storm: Impact of Genomic Variation and Serial Vaccination on Low Influenza Vaccine Effectiveness During the 2014-2015 Season.

Authors:  Danuta M Skowronski; Catharine Chambers; Suzana Sabaiduc; Gaston De Serres; Anne-Luise Winter; James A Dickinson; Mel Krajden; Jonathan B Gubbay; Steven J Drews; Christine Martineau; Alireza Eshaghi; Trijntje L Kwindt; Nathalie Bastien; Yan Li
Journal:  Clin Infect Dis       Date:  2016-03-29       Impact factor: 9.079

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