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dc.contributor.authorAbril, Ana G.es_ES
dc.contributor.authorCalo-Mata, Pilares_ES
dc.contributor.authorBöhme, K.es_ES
dc.contributor.authorVilla, Tomás G.es_ES
dc.contributor.authorBarros-Velázquez, Jorgees_ES
dc.contributor.authorPazos Palmeiro, Manueles_ES
dc.contributor.authorCarrera, Mónicaes_ES
dc.date.accessioned2024-02-28T12:54:38Z-
dc.date.available2024-02-28T12:54:38Z-
dc.date.issued2023-
dc.identifier.citationInternational Journal of Molecular Sciences 24(9): 7704 (2023)es_ES
dc.identifier.issn1661-6596-
dc.identifier.urihttp://hdl.handle.net/10261/348659-
dc.description23 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) licensees_ES
dc.description.abstractBiogenic 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 foodstuffses_ES
dc.description.sponsorshipA.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.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institutees_ES
dc.relationinfo: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.relationinfo: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.isversionofPublisher's versiones_ES
dc.relation.isbasedonCarrera, Mónica; 2023; Shotgun Proteomics Analysis, Functional Networks and Peptide Biomarkers for Biogenic Amine-producing Bacteria [Dataset]; PRIDE; https://dx.doi.org/10.6019/PXD039320es_ES
dc.rightsopenAccesses_ES
dc.subjectBiogenic-amine-producing bacteriaes_ES
dc.subjectShotgun proteomicses_ES
dc.subjectMass spectrometryes_ES
dc.subject(LC-ESI-MS/MS)es_ES
dc.subjectFoodes_ES
dc.subjectSeafoodes_ES
dc.subjectBacterial identificationes_ES
dc.titleShotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteriaes_ES
dc.typeartículoes_ES
dc.identifier.doi10.3390/ijms24097704-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3390/ijms24097704es_ES
dc.identifier.e-issn1422-0067-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderUniversidad de Santiago de Compostelaes_ES
dc.contributor.funderMinisterio de Universidades (España)es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderXunta de Galiciaes_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100010801es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004837es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
dc.subject.agrovocmass spectrometryes_ES
dc.subject.agrovocfoodses_ES
dc.subject.agrovocseafoodses_ES
item.openairetypeartículo-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
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