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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8216| Deep proteome analysis of time-series human plasma samples applied to Covid-19 antibody test | |
| Aya Nakayama Tetsuya Fukuda Yoko Chikaoka Yasuhiko Bando Takeshi Kawamura | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.08.23.554537 | |
| https://www.biorxiv.org/content/10.1101/2023.08.23.554537v1 | |
| For the purpose of Covid-19 antibody testing, the human plasma samples acquired over a period of 310 days from August 18, 2021, to June 22, 2022, were subjected to DIA LC-MS proteome analysis. This process led to the acquisition of a quantitative protein profile and allowed for the validation of the temporal behavior of expressed proteins within the samples. A total of 1502 proteins were identified from the plasma samples. Before vaccination, after the first dose, after the second dose, and during the period after contracting the novel coronavirus, protein quantification values during each event interval were compared. Despite minimal changes observed before and after Covid-19 vaccination, notable proteins exhibiting distinct high-expression and low-expression patterns were identified after contracting the novel coronavirus infection. | |
| bioRxiv | |
| 24-08-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Deep proteome analysis of time-series human plasma samples applied to Covid-19 antibody test.pdf | 908.42 kB | Adobe PDF | Visualizar/Abrir |