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COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts.
Välikangas, Tommi; Junttila, Sini; Rytkönen, Kalle T; Kukkonen-Macchi, Anu; Suomi, Tomi; Elo, Laura L.
Afiliación
  • Välikangas T; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
  • Junttila S; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
  • Rytkönen KT; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
  • Kukkonen-Macchi A; Institute of Biomedicine, University of Turku, Turku, Finland.
  • Suomi T; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
  • Elo LL; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Front Genet ; 13: 929887, 2022.
Article en En | MEDLINE | ID: mdl-35991542
The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading across the world despite vast global vaccination efforts. Consequently, many studies have looked for potential human host factors and immune mechanisms associated with the disease. However, most studies have focused on comparing COVID-19 patients to healthy controls, while fewer have elucidated the specific host factors distinguishing COVID-19 from other infections. To discover genes specifically related to COVID-19, we reanalyzed transcriptome data from nine independent cohort studies, covering multiple infections, including COVID-19, influenza, seasonal coronaviruses, and bacterial pneumonia. The identified COVID-19-specific signature consisted of 149 genes, involving many signals previously associated with the disease, such as induction of a strong immunoglobulin response and hemostasis, as well as dysregulation of cell cycle-related processes. Additionally, potential new gene candidates related to COVID-19 were discovered. To facilitate exploration of the signature with respect to disease severity, disease progression, and different cell types, we also offer an online tool for easy visualization of the selected genes across multiple datasets at both bulk and single-cell levels.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: Finlandia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: Finlandia
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