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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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Zhou W, Sui Z, Liu J, He Y, Yuan H, Sun Y, Liang Z, Yang K, Zhang L, Zhang Y. High-Sensitivity Detection toward SARS-CoV-2 S1 Glycoprotein by Parallel Reaction Monitoring Mass Spectrometry. Anal Chem 2023; 95:8752-8757. [PMID: 37246519 DOI: 10.1021/acs.analchem.2c05770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) has overwhelmed the global economy and human well-being. On account of the sharp increase in test demand, there is a need for an accurate and alternative diagnosis method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, with the aim to specifically identify the trace SARS-CoV-2 S1 glycoprotein, we developed a high-sensitivity and high-selectivity diagnostic method based on the targeted parallel reaction monitoring (PRM) assay of eight selected peptides. This study emphasizes the outstanding detection sensitivity of 0.01 pg of the SARS-CoV-2 S1 glycoprotein even in the interference of other structural proteins, which to our knowledge is the current minimum limit of detection for the SARS-CoV-2 S1 glycoprotein. This technology could further identify 0.01 pg of the SARS-CoV-2 S1 glycoprotein in a spike pseudovirus, revealing its practical effectiveness. All our preliminary results throw light on the capability of the mass spectrometry-based targeted PRM assay to identify SARS-CoV-2 as a practicable orthogonal diagnostic tool. Furthermore, this technology could be extended to other pathogens (e.g., MERS-CoV S1 protein or SARS-CoV S1 protein) by quickly adjusting the targeted peptides of MS data acquisition. In summary, this strategy is universal and flexible and could be quickly adjusted to detect and discriminate different mutants and pathogens.
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Affiliation(s)
- Wen Zhou
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhigang Sui
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Jianhui Liu
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Yingyun He
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huiming Yuan
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Yue Sun
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhen Liang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Kaiguang Yang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Lihua Zhang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Yukui Zhang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
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Heinrichs ME, Heyerhoff B, Arslan-Gatz BS, Seidel M, Niggemann J, Engelen B. Deciphering the Virus Signal Within the Marine Dissolved Organic Matter Pool. Front Microbiol 2022; 13:863686. [PMID: 35694303 PMCID: PMC9184803 DOI: 10.3389/fmicb.2022.863686] [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: 01/27/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Viruses are ubiquitously distributed in the marine environment, influencing microbial population dynamics and biogeochemical cycles on a large scale. Due to their small size, they fall into the oceanographic size-class definition of dissolved organic matter (DOM; <0.7 μm). The purpose of our study was to investigate if there is a detectable imprint of virus particles in natural DOM following standard sample preparation and molecular analysis routines using ultrahigh-resolution mass spectrometry (FT-ICR-MS). Therefore, we tested if a molecular signature deriving from virus particles can be detected in the DOM fingerprint of a bacterial culture upon prophage induction and of seawater containing the natural microbial community. Interestingly, the virus-mediated lysate of the infected bacterial culture differed from the cell material of a physically disrupted control culture in its molecular composition. Overall, a small subset of DOM compounds correlated significantly with virus abundances in the bacterial culture setup, accounting for <1% of the detected molecular formulae and <2% of the total signal intensity of the DOM dataset. These were phosphorus- and nitrogen-containing compounds and they were partially also detected in DOM samples from other studies that included high virus abundances. While some of these formulae matched with typical biomolecules that are constituents of viruses, others matched with bacterial cell wall components. Thus, the identified DOM molecular formulae were probably not solely derived from virus particles but were partially also derived from processes such as the virus-mediated bacterial cell lysis. Our results indicate that a virus-derived DOM signature is part of the natural DOM and barely detectable within the analytical window of ultrahigh-resolution mass spectrometry when a high natural background is present.
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Affiliation(s)
- Mara E. Heinrichs
- Benthic Microbiology Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Benedikt Heyerhoff
- Benthic Microbiology Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Berin S. Arslan-Gatz
- Benthic Microbiology Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Michael Seidel
- Research Group for Marine Geochemistry (ICBM-MPI Bridging Group), Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Jutta Niggemann
- Research Group for Marine Geochemistry (ICBM-MPI Bridging Group), Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Bert Engelen
- Benthic Microbiology Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
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Mann C, Griffin JH, Downard KM. Detection and evolution of SARS-CoV-2 coronavirus variants of concern with mass spectrometry. Anal Bioanal Chem 2021; 413:7241-7249. [PMID: 34532764 PMCID: PMC8445501 DOI: 10.1007/s00216-021-03649-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/25/2021] [Accepted: 09/02/2021] [Indexed: 12/24/2022]
Abstract
Mass mapping using high-resolution mass spectrometry has been applied to identify and rapidly distinguish SARS-CoV-2 coronavirus strains across five major variants of concern. Deletions or mutations within the surface spike protein across these variants, which originated in the UK, South Africa, Brazil and India (known as the alpha, beta, gamma and delta variants respectively), lead to associated mass differences in the mass maps. Peptides of unique mass have thus been determined that can be used to identify and distinguish the variants. The same mass map profiles are also utilized to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study viral evolution. The combined strategy offers advantages over conventional PCR-based gene-based approaches exploiting the ease with which protein mass maps can be generated and the speed and sensitivity of mass spectrometric analysis.
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Affiliation(s)
- Christian Mann
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
| | - Justin H Griffin
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia.
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Mann C, Downard KM. Evolution of SARS CoV-2 Coronavirus Surface Protein Investigated with Mass Spectrometry Based Phylogenetics. ANAL LETT 2021. [DOI: 10.1080/00032719.2021.1928685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Christian Mann
- 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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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: 26] [Impact Index Per Article: 6.5] [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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Uddin R, Downard KM. Subtyping of hepatitis C virus with high resolution mass spectrometry. CLINICAL MASS SPECTROMETRY 2017. [DOI: 10.1016/j.clinms.2017.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Foster MW, Gerhardt G, Robitaille L, Plante PL, Boivin G, Corbeil J, Moseley MA. Targeted Proteomics of Human Metapneumovirus in Clinical Samples and Viral Cultures. Anal Chem 2015; 87:10247-54. [PMID: 26376123 DOI: 10.1021/acs.analchem.5b01544] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
The rapid, sensitive, and specific identification of infectious pathogens from clinical isolates is a critical need in the hospital setting. Mass spectrometry (MS) has been widely adopted for identification of bacterial pathogens, although polymerase chain reaction remains the mainstay for the identification of viral pathogens. Here, we explored the capability of MS for the detection of human metapneumovirus (HMPV), a common cause of respiratory tract infections in children. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) sequencing of a single HMPV reference strain (CAN97-83) was used to develop a multiple reaction monitoring (MRM) assay that employed stable isotope-labeled peptide internal standards for quantitation of HMPV. Using this assay, we confirmed the presence of HMPV in viral cultures from 10 infected patients and further assigned genetic lineage based on the presence/absence of variant peptides belonging to the viral matrix and nucleoproteins. Similar results were achieved for primary clinical samples (nasopharyngeal aspirates) from the same individuals. As validation, virus lineages, and variant coding sequences, were confirmed by next-generation sequencing of viral RNA obtained from the culture samples. Finally, separate dilution series of HMPV A and B lineages were used to further refine and assess the robustness of the assay and to determine limits of detection in nasopharyngeal aspirates. Our results demonstrate the applicability of MRM for identification of HMPV, and assignment of genetic lineage, from both viral cultures and clinical samples. More generally, this approach should prove tractable as an alternative to nucleic-acid based sequencing for the multiplexed identification of respiratory virus infections.
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Affiliation(s)
| | - Geoff Gerhardt
- Waters Corporation , Milford, Massachusetts 01757, United States
| | - Lynda Robitaille
- Department of Molecular Medicine, Department of Microbiology, Immunology and Infectious Diseases, Université Laval , Québec City, Québec, Canada G1V 0A6
| | - Pier-Luc Plante
- Department of Molecular Medicine, Department of Microbiology, Immunology and Infectious Diseases, Université Laval , Québec City, Québec, Canada G1V 0A6
| | - Guy Boivin
- Department of Molecular Medicine, Department of Microbiology, Immunology and Infectious Diseases, Université Laval , Québec City, Québec, Canada G1V 0A6
| | - Jacques Corbeil
- Department of Molecular Medicine, Department of Microbiology, Immunology and Infectious Diseases, Université Laval , Québec City, Québec, Canada G1V 0A6
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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: 2.8] [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: 0.8] [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: 1.8] [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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