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Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624548/ https://www.ncbi.nlm.nih.gov/pubmed/34835138 http://dx.doi.org/10.3390/v13112332 |
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author | Chu, Pei-Yu Huang, Hui-Wen Boonchan, Michittra Tyan, Yu-Chang Louis, Kevin Leroy Lee, Kun-Mu Motomura, Kazushi Ke, Liang-Yin |
author_facet | Chu, Pei-Yu Huang, Hui-Wen Boonchan, Michittra Tyan, Yu-Chang Louis, Kevin Leroy Lee, Kun-Mu Motomura, Kazushi Ke, Liang-Yin |
author_sort | Chu, Pei-Yu |
collection | PubMed |
description | Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass spectrometry (MS) make it a promising tool for identifying disease markers. Besides, the superior sensitivity of MS and proteomic approaches may enable the detection of all variants. Thus, this study aimed to establish an MS-based system for identifying and typing norovirus. We constructed three plasmids containing the major capsid protein VP1 of the norovirus GII.4 2006b, 2006a, and 2009a strains to produce virus-like particles for use as standards. Digested peptide signals were collected using a nano-flow ultra-performance liquid chromatography mass spectrometry (nano-UPLC/MS(E)) system, and analyzed by ProteinLynx Global SERVER and TREE-PUZZLE software. Results revealed that the LC/MS(E) system had an excellent coverage rate: the system detected more than 94% of amino acids of 3.61 femtomole norovirus VP1 structural protein. In the likelihood-mapping analysis, the proportions of unresolved quartets were 2.9% and 4.9% in the VP1 and S domains, respectively, which is superior to the 15.1% unresolved quartets in current PCR-based methodology. In summary, the use of LC/MS(E) may efficiently monitor genotypes, and sensitively detect structural and functional mutations of noroviruses. |
format | Online Article Text |
id | pubmed-8624548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86245482021-11-27 Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 Chu, Pei-Yu Huang, Hui-Wen Boonchan, Michittra Tyan, Yu-Chang Louis, Kevin Leroy Lee, Kun-Mu Motomura, Kazushi Ke, Liang-Yin Viruses Article Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass spectrometry (MS) make it a promising tool for identifying disease markers. Besides, the superior sensitivity of MS and proteomic approaches may enable the detection of all variants. Thus, this study aimed to establish an MS-based system for identifying and typing norovirus. We constructed three plasmids containing the major capsid protein VP1 of the norovirus GII.4 2006b, 2006a, and 2009a strains to produce virus-like particles for use as standards. Digested peptide signals were collected using a nano-flow ultra-performance liquid chromatography mass spectrometry (nano-UPLC/MS(E)) system, and analyzed by ProteinLynx Global SERVER and TREE-PUZZLE software. Results revealed that the LC/MS(E) system had an excellent coverage rate: the system detected more than 94% of amino acids of 3.61 femtomole norovirus VP1 structural protein. In the likelihood-mapping analysis, the proportions of unresolved quartets were 2.9% and 4.9% in the VP1 and S domains, respectively, which is superior to the 15.1% unresolved quartets in current PCR-based methodology. In summary, the use of LC/MS(E) may efficiently monitor genotypes, and sensitively detect structural and functional mutations of noroviruses. MDPI 2021-11-22 /pmc/articles/PMC8624548/ /pubmed/34835138 http://dx.doi.org/10.3390/v13112332 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chu, Pei-Yu Huang, Hui-Wen Boonchan, Michittra Tyan, Yu-Chang Louis, Kevin Leroy Lee, Kun-Mu Motomura, Kazushi Ke, Liang-Yin Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title | Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title_full | Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title_fullStr | Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title_full_unstemmed | Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title_short | Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1 |
title_sort | mass spectrometry-based system for identifying and typing norovirus major capsid protein vp1 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624548/ https://www.ncbi.nlm.nih.gov/pubmed/34835138 http://dx.doi.org/10.3390/v13112332 |
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