Literature DB >> 21542793

Characterization of a recombinant influenza vaccine candidate using complementary LC-MS methods.

Hongwei Xie1, Catalin Doneanu, Weibin Chen, Joseph Rininger, Jeffery R Mazzeo.   

Abstract

Influenza vaccination is recognized as the most effective method for reducing morbidity and mortality due to seasonal influenza. To improve vaccine supply and to increase flexibility in vaccine manufacturing, cell culture-based vaccine production has emerged to overcome limitations of egg-based production. The switch of production system and the need for annual re-evaluation of vaccines for the effectiveness due to frequent viral antigenic changes call for methods for complete characterization of the hemagglutinin (HA) antigens and the final vaccine products. This study describes advanced liquid chromatography-mass spectrometry (LC-MS) methods for simultaneous identification of HA proteins and process-related impurities in a trivalent influenza candidate vaccine, comprised of purified recombinant HA (rHA) antigens produced in an insect cell-baculovirus expression vector system (BEVS). N-linked glycosylation sites and glycoforms of the three rHA proteins (corresponding to influenza A subtypes H1N1 and H3N2 and B virus, respectively) were profiled by peptide mapping using reversed-phase (RP) LC-MS(E) (data independent acquisition LC-MS using an alternating low and elevated collision energy scan mode). The detected site-specific glycoforms were further confirmed and quantified by hydrophilic interaction LC (HILIC)-multiple reaction monitoring (MRM) assays. LC-MS(E) was used to characterize the vaccine candidate, providing both protein identities and site-specific information of glycosylation and degradations on each rHA protein. HILIC-MRM methodology was used for rapid confirming and quantifying site-specific glycoforms and potential degradations on each rHA protein. These methods can contribute to the monitoring of vaccine quality especially as it pertains to product comparability studies to evaluate the impact of production process changes.

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Year:  2011        PMID: 21542793     DOI: 10.2174/138920111798357447

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  8 in total

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

Review 2.  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

3.  Comparative glycomics analysis of influenza Hemagglutinin (H5N1) produced in vaccine relevant cell platforms.

Authors:  Yanming An; Joseph A Rininger; Donald L Jarvis; Xianghong Jing; Zhiping Ye; Jared J Aumiller; Maryna Eichelberger; John F Cipollo
Journal:  J Proteome Res       Date:  2013-07-24       Impact factor: 4.466

Review 4.  MASS SPECTROMETRY IN VIROLOGICAL SCIENCES.

Authors:  Aleksandra Milewska; Joanna Ner-Kluza; Agnieszka Dabrowska; Anna Bodzon-Kulakowska; Krzysztof Pyrc; Piotr Suder
Journal:  Mass Spectrom Rev       Date:  2019-12-25       Impact factor: 9.011

5.  Global aspects of viral glycosylation.

Authors:  Ieva Bagdonaite; Hans H Wandall
Journal:  Glycobiology       Date:  2018-07-01       Impact factor: 4.313

Review 6.  The expanding role of mass spectrometry in the field of vaccine development.

Authors:  Vaneet Kumar Sharma; Ity Sharma; James Glick
Journal:  Mass Spectrom Rev       Date:  2018-05-31       Impact factor: 10.946

Review 7.  Antigenic characterization of influenza and SARS-CoV-2 viruses.

Authors:  Yang Wang; Cynthia Y Tang; Xiu-Feng Wan
Journal:  Anal Bioanal Chem       Date:  2021-12-14       Impact factor: 4.142

8.  Pandemic influenza vaccine: characterization of A/California/07/2009 (H1N1) recombinant hemagglutinin protein and insights into H1N1 antigen stability.

Authors:  Elena Feshchenko; David G Rhodes; Rachael Felberbaum; Clifton McPherson; Joseph A Rininger; Penny Post; Manon M J Cox
Journal:  BMC Biotechnol       Date:  2012-10-30       Impact factor: 2.563

  8 in total

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