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http://hdl.handle.net/10261/348659
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Abril, Ana G. | es_ES |
dc.contributor.author | Calo-Mata, Pilar | es_ES |
dc.contributor.author | Böhme, K. | es_ES |
dc.contributor.author | Villa, Tomás G. | es_ES |
dc.contributor.author | Barros-Velázquez, Jorge | es_ES |
dc.contributor.author | Pazos Palmeiro, Manuel | es_ES |
dc.contributor.author | Carrera, Mónica | es_ES |
dc.date.accessioned | 2024-02-28T12:54:38Z | - |
dc.date.available | 2024-02-28T12:54:38Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | International Journal of Molecular Sciences 24(9): 7704 (2023) | es_ES |
dc.identifier.issn | 1661-6596 | - |
dc.identifier.uri | http://hdl.handle.net/10261/348659 | - |
dc.description | 23 pages, 4 tables, 5 figures.-- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license | es_ES |
dc.description.abstract | Biogenic amine-producing bacteria are responsible for the production of basic nitrogenous compounds (histamine, cadaverine, tyramine, and putrescine) following the spoilage of food due to microorganisms. In this study, we adopted a shotgun proteomics strategy to characterize 15 foodborne strains of biogenic-amine-producing bacteria. A total of 10,673 peptide spectrum matches belonging to 4081 peptides and corresponding to 1811 proteins were identified. Relevant functional pathways were determined, and strains were differentiated into hierarchical clusters. An expected protein-protein interaction network was created (260 nodes/1973 interactions). Most of the determined proteins were associated with networks/pathways of energy, putrescine metabolism, and host-virus interaction. Additionally, 556 peptides were identified as virulence factors. Moreover, 77 species-specific peptide biomarkers corresponding to 64 different proteins were proposed to identify 10 bacterial species. This represents a major proteomic dataset of biogenic-amine-producing strains. These results may also be suitable for new treatments for food intoxication and for tracking microbial sources in foodstuffs | es_ES |
dc.description.sponsorship | A.G.A. thanks the USC for the “Convocatoria de Recualificación do Sistema Universitario Español-Margarita Salas” postdoc grant under the “Plan de Recuperación Transformación” program funded by the Spanish Ministry of Universities through the European Union’s NextGeneration EU funds. This work has received financial support from the Xunta de Galicia and the European Union (European Social Fund2013ESF), the Spanish Ministry of Economy and Competitivity Project AGL 2.013-48.244-R, and the European Regional Development Fund (ERDF) (2007–2013). This study was also financed by the GAIN-Xunta de Galicia Project (IN607D 2017/01) and the Spanish AEI/EU-FEDER PID2019-103845RB-C21 project. It was also supported by the Plan Complementario en Ciencias Marinas (PCCM) funded by the Ministry of Science and Innovation (Activity 3.6.B. NANOSEAOMICS) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Multidisciplinary Digital Publishing Institute | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO//AGL2013-48244-R/ES/APLICACION DE LA ESPECTROMETRIA DE MASAS-IONIZACION ELECTROSPRAY PARA LA IDENTIFICACION Y CUANTIFICACION RAPIDA DE PATOGENOS ALIMENTARIOS/ | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103845RB-C21/ES/BIOLOGIA DE SISTEMAS BASADA EN PROTEOMICA Y BIOLOGIA ESTRUCTURAL EN LA ALERGIA AL PESCADO EN PRODUCTOS PESQUEROS FRESCOS Y PROCESADOS/ | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.relation.isbasedon | Carrera, Mónica; 2023; Shotgun Proteomics Analysis, Functional Networks and Peptide Biomarkers for Biogenic Amine-producing Bacteria [Dataset]; PRIDE; https://dx.doi.org/10.6019/PXD039320 | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Biogenic-amine-producing bacteria | es_ES |
dc.subject | Shotgun proteomics | es_ES |
dc.subject | Mass spectrometry | es_ES |
dc.subject | (LC-ESI-MS/MS) | es_ES |
dc.subject | Food | es_ES |
dc.subject | Seafood | es_ES |
dc.subject | Bacterial identification | es_ES |
dc.title | Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.3390/ijms24097704 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/ijms24097704 | es_ES |
dc.identifier.e-issn | 1422-0067 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.contributor.funder | Universidad de Santiago de Compostela | es_ES |
dc.contributor.funder | Ministerio de Universidades (España) | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Xunta de Galicia | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100010801 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100004837 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
dc.subject.agrovoc | mass spectrometry | es_ES |
dc.subject.agrovoc | foods | es_ES |
dc.subject.agrovoc | seafoods | es_ES |
item.openairetype | artículo | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
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Shotgun_proteomics_OA_2023.pdf | 2,48 MB | Adobe PDF | Visualizar/Abrir |
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