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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Rivera Soto, Bernardina Inés | - |
dc.contributor.author | Leyva, Alejandro | - |
dc.contributor.author | Portela, María Magdalena | - |
dc.contributor.author | Moratorio, Gonzalo | - |
dc.contributor.author | Moreno Karlen, María del Pilar | - |
dc.contributor.author | Durán, Rosario | - |
dc.contributor.author | Lima, Analía | - |
dc.date.accessioned | 2022-02-09T13:14:17Z | - |
dc.date.available | 2022-02-09T13:14:17Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Rivera, B, Leyva, A, Portela, M, [y otros] "Quantitative proteomic dataset from oro- and naso-pharyngeal swabs used for COVID-19 diagnosis: Detection of viral proteins and host's biological processes altered by the infection". Data in Brief. [en línea] 2020, 32:106121. 9 h. DOI: 10.1016/j.dib.2020.106121 | es |
dc.identifier.issn | 2352-3409 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/30812 | - |
dc.description.abstract | Since January 2020, the world is facing the COVID-19 pandemic caused by SARS-CoV-2. In a big effort to cope with this outbreak, two Uruguayan institutions, Institut Pasteur de Montevideo and Universidad de la República, have developed and implemented a diagnosis pipeline based on qRT-PCR using entirely local resources. In this context, we performed comparative quantitative proteomic analysis from oro- and naso-pharyngeal swabs used for diagnosis. Tryptic peptides obtained from five positive and five negative samples were analysed by nano-LC-MS/MS using a Q-Exactive Plus mass spectrometer. Data analysis was performed using PatternLab for Proteomics software. From all SARS-CoV-2 positive swabs we were able to detect peptides of the SARS-CoV-2 nucleoprotein that encapsulates and protect the RNA genome. Additionally, we detected an average of 1100 human proteins from each sample. The most abundant proteins exclusively detected in positive swabs were “Guanylate-binding protein 1”, “Tapasin” and “HLA class II histocompatibility antigen DR beta chain”. The biological processes overrepresented in infected host cells were “SRP-dependent cotranslational protein targeting to membrane”, “nuclear-transcribed mRNA catabolic process, nonsense-mediated decay”, “viral transcription” and “translational initiation”. Data is available via ProteomeXchange with identifier PXD020394. We expect that this data can contribute to the future development of mass spectrometry based approaches for COVID-19 diagnosis. Also, we share this preliminary proteomic characterization concerning the host response to infection for its reuse in basic investigation. | es |
dc.format.extent | 9 h. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | en | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Data in Brief, 2020, 32:106121 | es |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject | SARS-CoV-2 | es |
dc.subject | COVID-19 | es |
dc.subject | Quantitative proteomics | es |
dc.subject | Shotgun proteomics | es |
dc.subject | Nucleoprotein | es |
dc.title | Quantitative proteomic dataset from oro- and naso-pharyngeal swabs used for COVID-19 diagnosis: detection of viral proteins and host's biological processes altered by the infection | es |
dc.type | Artículo | es |
dc.contributor.filiacion | Rivera Soto Bernardina Inés, Institut Pasteur (Uruguay) | - |
dc.contributor.filiacion | Leyva Alejandro, Institut Pasteur (Uruguay) | - |
dc.contributor.filiacion | Portela María Magdalena, Universidad de la República (Uruguay). Facultad de Ciencias. | - |
dc.contributor.filiacion | Moratorio Gonzalo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Investigaciones Nucleares. | - |
dc.contributor.filiacion | Moreno Karlen María del Pilar, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Investigaciones Nucleares. | - |
dc.contributor.filiacion | Durán Rosario, Institut Pasteur (Uruguay) | - |
dc.contributor.filiacion | Lima Analía, Institut Pasteur (Uruguay) | - |
dc.rights.licence | Licencia Creative Commons Atribución (CC - By 4.0) | es |
dc.identifier.doi | 10.1016/j.dib.2020.106121 | - |
Aparece en las colecciones: | Publicaciones académicas y científicas - Facultad de Ciencias |
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10.1016j.dib.2020.106121.pdf | 549,18 kB | Adobe PDF | Visualizar/Abrir |
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