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Downard KM. 25 Years Responding to Respiratory and Other Viruses with Mass Spectrometry. Mass Spectrom (Tokyo) 2023; 12:A0136. [PMID: 38053835 PMCID: PMC10694638 DOI: 10.5702/massspectrometry.a0136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 10/24/2023] [Indexed: 12/07/2023] Open
Abstract
This review article presents the development and application of mass spectrometry (MS) approaches, developed in the author's laboratory over the past 25 years, to detect; characterise, type and subtype; and distinguish major variants and subvariants of respiratory viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). All features make use of matrix-assisted laser desorption ionisation (MALDI) mass maps, recorded for individual viral proteins or whole virus digests. A MALDI-based immunoassay in which antibody-peptide complexes were preserved on conventional MALDI targets without their immobilisation led to an approach that enabled their indirect detection. The site of binding, and thus the molecular antigenicity of viruses, could be determined. The same approach was employed to study antivirals bound to their target viral protein, the nature of the binding residues, and relative binding affinities. The benefits of high-resolution MS were exploited to detect sequence-conserved signature peptides of unique mass within whole virus and single protein digests. These enabled viruses to be typed, subtyped, their lineage determined, and variants and subvariants to be distinguished. Their detection using selected ion monitoring improved analytical sensitivity limits to aid the identification of viruses in clinical specimens. The same high-resolution mass map data, for a wide range of viral strains, were input into a purpose-built algorithm (MassTree) in order to both chart and interrogate viral evolution. Without the need for gene or protein sequences, or any sequence alignment, this phylonumerics approach also determines and displays single-point mutations associated with viral protein evolution in a single-tree building step.
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Affiliation(s)
- Kevin M. Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
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2
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Hoyle JS, Downard KM. High resolution mass spectrometry of respiratory viruses: beyond MALDI-ToF instruments for next generation viral typing, subtyping, variant and sub-variant identification. Analyst 2023; 148:4263-4273. [PMID: 37587867 DOI: 10.1039/d3an00953j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
In the wake of the SARS-CoV2 pandemic, a point has been reached to assess the limitations and strengths of the analytical responses to virus identification and characterisation. Mass spectrometry has played a growing role in this area for over two decades, and this review highlights the benefits of mass spectrometry (MS) over PCR-based methods together with advantages of high mass resolution, high mass accuracy strategies over conventional MALDI-ToF and ESI-MS/MS instrumentation. This review presents the development and application of high resolution mass spectrometry approaches to detect, characterise, type and subtype, and distinguish variants of the influenza and SARS-CoV-2 respiratory viruses. The detection limits for the identification of SARS-CoV2 virus variants in clinical specimens and the future uptake of high resolution instruments in clinical laboratories are discussed. The same high resolution mass data can be used to monitor viral evolution and follow evolutionary trajectories.
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Affiliation(s)
- Joshua S Hoyle
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
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3
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Lanyon HE, Hoyle JS, Downard KM. Resolving omicron sub-variants of SARS CoV-2 coronavirus with MALDI mass spectrometry. Analyst 2023; 148:966-972. [PMID: 36757162 DOI: 10.1039/d2an01843h] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Mass mapping using high resolution mass spectrometry has been applied to identify and rapidly distinguish the omicron sub-variants across the BA.1-BA.5 lineages. Lineage-specific protein mutations in the surface spike protein give rise to peptide biomarkers of unique mass that can be confidently and sensitively detected with high resolution mass spectrometry. Those that are most efficiently ionised and detected within the S1 subunit in recombinant forms facilitate their detection in clinical specimens containing other SARS-CoV2 viral proteins and contaminants. A study of five dozen omicron-positive specimens, using a selected ion monitoring approach, detected peptide biomarkers for strains of BA.1, BA.2.75 and BA.4 sub-variants in 23%, 42% and 28% of samples respectively, consistent with their reported levels in the local population. The virus was confidently assigned in over 93% of omicron positive specimens. The ease of detection of the BA.2.75 variant, in particular, is of vital importance given its rapid global spread in late 2022 due to several immune evasive mutations within the receptor-binding domain.
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Affiliation(s)
- Henry E Lanyon
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Joshua S Hoyle
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
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4
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Evolution of Type B Influenza Virus Using a Mass Spectrometry Based Phylonumerics Approach. Evol Biol 2021. [DOI: 10.1007/s11692-021-09535-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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5
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Dollman NL, Griffin JH, Downard KM. Detection, Mapping, and Proteotyping of SARS-CoV-2 Coronavirus with High Resolution Mass Spectrometry. ACS Infect Dis 2020; 6:3269-3276. [PMID: 33205948 PMCID: PMC7688050 DOI: 10.1021/acsinfecdis.0c00664] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Indexed: 12/17/2022]
Abstract
A high resolution mass spectrometry approach has been applied for the first time to detect and characterize SARS-CoV-2 coronavirus in cell cultured and nasopharyngeal swab specimens. Peptide ions for three of the most abundant structural viral proteins (membrane, nucleocapid, and spike) are detected and assigned directly, by virtue of the high resolution and mass accuracy within the mass maps of whole virus digests, without the need for tandem mass spectrometry (MS/MS). MALDI-MS based approaches offer high sample throughput and speed, compared with those of LC-MS strategies, and detection limits at some 105 copies, or orders of magnitude less with selected ion monitoring, that compete favorably with conventional reverse transcription polymerase chain reaction (RT-PCR) strategies. The detection of signature peptides unique to SARS-CoV-2 coronavirus over those from the influenza virus allows for its unambiguous detection.
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Affiliation(s)
- Nicholas L. Dollman
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
| | - Justin H. Griffin
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
| | - Kevin M. Downard
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
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6
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Abstract
New surveillance methods employing mass spectrometry (MS) have been developed to characterize the influenza virus and, by extension, other biopathogens at the molecular level. The structure and antigenicity of protein antigens on the surface of the viral capsid are screened in a single step employing the immunoproteomics MS-based approach. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) coupled to gel electrophoresis is used both to identify viral antigens and screen their antigenicity. Evidence that antigen-antibody complexes, and protein complexes more generally, can survive on conventional MALDI targets has allowed both the primary structure and antigenicity of viral strains to be rapidly screened and protein epitopes to be identified with molecular precision. The approach should aid in future screening of the virus and assist in the development of immunogenic peptide constructs as alternative treatments to vaccination over the whole inactivated virus. The assay adds to the repertoire of mass spectrometric approaches for examining antigen-antibody interactions, in particular, and protein complexes, in general, without the need to immobilize, tag, or recover either component.
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Affiliation(s)
- Kevin M Downard
- Infectious Disease Responses Laboratory, POWCS, Medicine, University of New South Wales, Sydney, NSW, Australia.
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7
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Arencibia A, Piñón A, Acosta B, Fernandez L, Muné M, Valdés O, Savón C, Oropesa S, Gonzalez G, Roque R, Gonzalez G, Hernández B, Alfonso JM. Vaccine-mismatched influenza B/Yamagata lineage viruses in Cuba, 2012-2013 season. INFECTION GENETICS AND EVOLUTION 2017; 58:110-114. [PMID: 29229320 DOI: 10.1016/j.meegid.2017.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 11/24/2017] [Accepted: 12/06/2017] [Indexed: 10/18/2022]
Abstract
Annual trivalent influenza vaccines contain one of influenza B lineages; influenza B/Victoria-lineage or influenza B/Yamagata viruses. Theoretically, these vaccines should protect against viruses expected to circulate in the next influenza season. The National Influenza Centers, based on surveillance data from National Reference Laboratories, selects the strains composing each annual trivalent or tetravalent vaccine. Nevertheless, in some epidemics, vaccine strains do not match genetically with circulating strains. The aim of the present study is to compare the HA1-domain of 42 influenza B viruses circulating in Cuba during the 2012-2013 season with the vaccine strain B/Wisconsin/01/2010-like virus from the B/Yamagata lineage, included in the 2012-2013 Northern-Hemisphere Influenza vaccine. The efficacy of the influenza vaccine was also estimated. The analysis of the present study indicates that the B/Victoria and B/Yamagata lineages co-circulated in Cuba in the 2012-2013 season. In 2012-2013 season, according to the sequences analysis, trivalent vaccine did not match with the circulating strains. The present study also detected amino acid substitutions which could have altered the antigenic properties of HA gene. The results presented here suggest the need to consider a possible introduction of tetravalent influenza vaccine in Cuba, as has been recommended by the WHO to ensure higher levels of protection.
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Affiliation(s)
| | - Alexander Piñón
- University of Miami, Miller School of Medicine, Department of Surgery Transplant, 1600 NW 10th Ave., Miami, FL 33136, United States
| | | | | | - Mayra Muné
- Pedro Kourí Tropical Medicine Institute, Cuba
| | | | - Clara Savón
- Pedro Kourí Tropical Medicine Institute, Cuba
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Uddin R, Downard KM. Subtyping of hepatitis C virus with high resolution mass spectrometry. CLINICAL MASS SPECTROMETRY (DEL MAR, CALIF.) 2017; 4-5:19-24. [PMID: 39193130 PMCID: PMC11322781 DOI: 10.1016/j.clinms.2017.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 08/20/2017] [Accepted: 08/21/2017] [Indexed: 02/07/2023]
Abstract
A proteotyping approach using high resolution mass spectrometry has been applied, for the first time, to subtype the hepatitis C virus based upon detection of one or more signature peptides derived from the E1 and E2 envelope glycoproteins. These signature peptides represent conserved peptide segments within these proteins for particular subtypes of the virus that are found to be unique in mass when compared with the theoretical masses for all peptide segments of translated HCV proteins within a specifically constructed database. The successful application of the approach to three different subtypes of the virus (i.e., 1a, 1b and 2b) is demonstrated for protein and whole virus proteolytic digests. The approach has the potential to replace existing PCR-based subtyping by offering a more direct and cost comparable strategy that is not challenged by mixed infection scenarios.
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Affiliation(s)
- Reaz Uddin
- University of New South Wales, Sydney, Australia
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9
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Downard KM. Proteotyping for the rapid identification of influenza virus and other biopathogens. Chem Soc Rev 2014; 42:8584-95. [PMID: 23632861 DOI: 10.1039/c3cs60081e] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The influenza virus is one of the most deadly infectious agents known to man and has been responsible for the deaths of some hundred million lives throughout human history. The need to rapidly and reliably survey circulating virus strains down to the molecular level is ever present. This tutorial describes the development and application of a new proteotyping approach that harnesses the power of high resolution of mass spectrometry to characterise the influenza virus, and by extension other bacterial and viral pathogens. The approach is shown to be able to type, subtype, and determine the lineage of human influenza virus strains through the detection of one or more signature peptide ions in the mass spectrum of whole virus digests. Pandemic strains can be similarly distinguished from seasonal ones, and new computer algorithms have been written to allow reassorted strains that pose the greatest pandemic risk to be rapidly identified from such datasets. The broader application of the approach is further demonstrated here for the parainfluenza virus, a virus which can be life threatening to children and presents similar clinical symptoms to influenza.
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Affiliation(s)
- Kevin M Downard
- School of Molecular Bioscience G-08, University of Sydney, Sydney, NSW 2006, Australia.
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Fernandes ND, Downard KM. Origins of the reassortant 2009 pandemic influenza virus through proteotyping with mass spectrometry. JOURNAL OF MASS SPECTROMETRY : JMS 2014; 49:93-102. [PMID: 24446268 DOI: 10.1002/jms.3310] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2013] [Revised: 11/05/2013] [Accepted: 11/06/2013] [Indexed: 06/03/2023]
Abstract
The application of a proteotyping approach employing high resolution mass spectrometry based is shown to be able to determine the gene origin of all major viral proteins in a triple reassortant pandemic 2009 influenza strain. Key to this approach is the identification of unique swine-host-specific signature and indicator peptides that are characteristic of influenza viruses circulating in North American and Eurasian swine herds in the years prior to the 2009 influenza pandemic. These swine-and human pandemic-specific signatures enable the origins of viral proteins in a clinical virus specimen to be determined and such strains to be rapidly and directly differentiated from other co-circulating seasonal influenza viruses from the same period. The proteotyping strategy offers advantages over traditional RT-PCR-based approaches that are currently the mainstay of influenza surveillance at the molecular level.
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Affiliation(s)
- Neil D Fernandes
- School of Molecular Bioscience, University of Sydney, Sydney, Australia
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Incorporation of a proteotyping approach using mass spectrometry for surveillance of influenza virus in cell-cultured strains. J Clin Microbiol 2013; 52:725-35. [PMID: 24226917 DOI: 10.1128/jcm.02315-13] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The reemergence of deadly pandemic influenza virus strains has necessitated the development of improved methods for rapid detection and subtyping of influenza viruses that will enable more strains to be characterized at the molecular level. Representative circulating strains of human influenza viruses from primary clinical specimens were grown in cell culture, purified through polyethylene glycol precipitation, proteolytically digested with an endoproteinase, and analyzed and identified by high-resolution mass spectrometry using unique signature peptides that are characteristic of type A H1N1 and H3N2 and type B influenza viruses. This proteotyping approach enabled circulating strains of type A influenza virus to be typed and subtyped, cocirculating seasonal and pandemic H1N1 viruses to be differentiated, and the lineage of type B viruses to be determined through single-ion detection by high-resolution mass spectrometry. Results were obtained using virus titers comparable to those used in reverse transcription (RT)-PCR assays with clinical specimens grown in cell cultures. The methodology represents a more rapid and direct approach than RT-PCR and can be integrated into existing procedures currently used for the surveillance of emerging pandemic and seasonal influenza viruses.
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Kordyukova LV, Serebryakova MV. Mass spectrometric approaches to study enveloped viruses: new possibilities for structural biology and prophylactic medicine. BIOCHEMISTRY (MOSCOW) 2013; 77:830-42. [PMID: 22860905 PMCID: PMC7087845 DOI: 10.1134/s0006297912080044] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
This review considers principles of the use of mass spectrometry for the study of biological macromolecules. Some examples of protein identification, virion proteomics, testing vaccine preparations, and strain surveillance are represented. Possibilities of structural characterization of viral proteins and their posttranslational modifications are shown. The authors’ studies by MALDI-MS on S-acylation of glycoproteins from various families of enveloped viruses and on oligomerization of the influenza virus hemagglutinin transmembrane domains are summarized.
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Affiliation(s)
- L V Kordyukova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia.
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Lun ATL, Swaminathan K, Wong JWH, Downard KM. Mass trees: a new phylogenetic approach and algorithm to chart evolutionary history with mass spectrometry. Anal Chem 2013; 85:5475-82. [PMID: 23647083 DOI: 10.1021/ac4005875] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A new phylogenetics approach and algorithm with which to chart the evolutionary history of organisms is presented. It utilizes mass spectral data produced from the proteolytic digestion of proteins, rather than partial or complete gene or translated gene sequences. The concept and validity of the approach is demonstrated herein using both theoretical and experimental mass data, together with the translated gene sequences of the hemagglutinin protein of the influenza virus. A comparison of the mass trees with conventional sequenced-based phylogenetic trees, using two separate tree comparison algorithms, reveals a high degree of similarity and congruence among the trees. Given that the mass map data can be generated more rapidly than gene sequences, even when next generation parallel sequencing is employed, mass trees offer new opportunities and advantages for phylogenetic analysis.
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Affiliation(s)
- Aaron T L Lun
- School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia
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Nguyen AP, Downard KM. Subtyping of influenza neuraminidase using mass spectrometry. Analyst 2013; 138:1787-93. [PMID: 23370118 DOI: 10.1039/c3an00086a] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A proteotyping approach which employs high resolution mass spectrometry is shown to be able to differentiate all nine neuraminidase subtypes of type A influenza viruses that infect both humans and animals. Conserved sequences among tryptic peptides were identified through alignments of influenza neuraminidase sequences across all subtypes N1-N9 among human and animal hosts. Those that were unique in mass represent signature peptides which, when detected in the mass spectra of an influenza neuraminidase or whole virus digest, enable strains to be subtyped with confidence. The ability to distinguish N1 neuraminidase derived from human H5N1 and H1N1 strains is also demonstrated. The approach provides a more rapid and direct approach with which to subtype the virus than conventional molecular based PCR methods with comparable sensitivity. This should help facilitate a more rapid response in the event of a local epidemic or global pandemic.
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Affiliation(s)
- An P Nguyen
- School of Molecular Bioscience, University of Sydney, Sydney, NSW 2006, Australia
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Nguyen AP, Downard KM. Proteotyping of the Parainfluenza Virus with High-Resolution Mass Spectrometry. Anal Chem 2013; 85:1097-105. [DOI: 10.1021/ac302962u] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- An P. Nguyen
- School of Molecular Bioscience, University of Sydney, Sydney, NSW 2006,
Australia
| | - Kevin M. Downard
- School of Molecular Bioscience, University of Sydney, Sydney, NSW 2006,
Australia
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Lun AT, Wong JW, Downard KM. FluShuffle and FluResort: new algorithms to identify reassorted strains of the influenza virus by mass spectrometry. BMC Bioinformatics 2012; 13:208. [PMID: 22906155 PMCID: PMC3505172 DOI: 10.1186/1471-2105-13-208] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2012] [Accepted: 08/10/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Influenza is one of the oldest and deadliest infectious diseases known to man. Reassorted strains of the virus pose the greatest risk to both human and animal health and have been associated with all pandemics of the past century, with the possible exception of the 1918 pandemic, resulting in tens of millions of deaths. We have developed and tested new computer algorithms, FluShuffle and FluResort, which enable reassorted viruses to be identified by the most rapid and direct means possible. These algorithms enable reassorted influenza, and other, viruses to be rapidly identified to allow prevention strategies and treatments to be more efficiently implemented. RESULTS The FluShuffle and FluResort algorithms were tested with both experimental and simulated mass spectra of whole virus digests. FluShuffle considers different combinations of viral protein identities that match the mass spectral data using a Gibbs sampling algorithm employing a mixed protein Markov chain Monte Carlo (MCMC) method. FluResort utilizes those identities to calculate the weighted distance of each across two or more different phylogenetic trees constructed through viral protein sequence alignments. Each weighted mean distance value is normalized by conversion to a Z-score to establish a reassorted strain. CONCLUSIONS The new FluShuffle and FluResort algorithms can correctly identify the origins of influenza viral proteins and the number of reassortment events required to produce the strains from the high resolution mass spectral data of whole virus proteolytic digestions. This has been demonstrated in the case of constructed vaccine strains as well as common human seasonal strains of the virus. The algorithms significantly improve the capability of the proteotyping approach to identify reassorted viruses that pose the greatest pandemic risk.
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Affiliation(s)
- Aaron Tl Lun
- School of Molecular Bioscience G-08, The University of Sydney, Sydney, NSW, 2006, Australia
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Ha JW, Schwahn AB, Downard KM. Proteotyping to establish gene origin within reassortant influenza viruses. PLoS One 2011; 6:e15771. [PMID: 21305059 PMCID: PMC3031537 DOI: 10.1371/journal.pone.0015771] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2010] [Accepted: 11/25/2010] [Indexed: 11/17/2022] Open
Abstract
The application of a rapid and direct proteotyping approach with which to identify the gene origin of viral antigens in a reassortant influenza strain is demonstrated. The reassortant strain, constructed for a vaccine against type A 2009 H1N1 pandemic influenza, contains genes derived from a wild-type pandemic strain (A/California/7/2009) and an egg adapted high-growth strain (denoted NYMC X-157) derived from an earlier A/Puerto Rico/8/34 strain. The proteotyping approach employs modern proteomics methods and high resolution mass spectrometry to correctly establish that the genes of the surface antigens, hemagglutinin and neuraminidase, are derived from the A/California/7/2009 strain while those for nucleoprotein and matrix protein M1 antigens are derived from the NYMC X-157 strain. This is achieved for both gel-separated antigens and those from a whole vaccine digest. Furthermore, signature peptides detected in the mass spectra of the digested antigens enable the engineered reassortant strain to be identified as a type A virus of the H1N1 subtype in accord with earlier studies. The results demonstrate that proteotyping approach provides a more direct and rapid approach over RT-PCR with which to characterize reassortant strains of the influenza virus at the molecular protein level. Given that these strains pose the greatest risk to human and animal health and have been responsible for all human pandemics of the 20th and 21st centuries, there is a vital need for the origins and evolutionary history of these strains to be rapidly established.
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Affiliation(s)
- Ji-won Ha
- School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia
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Ha JW, Downard KM. Evolution of H5N1 influenza virus through proteotyping of hemagglutinin with high resolution mass spectrometry. Analyst 2011; 136:3259-67. [DOI: 10.1039/c1an15354d] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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