Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the only approach to rapidly monitor and tackle emerging variants of concern (VOC) of the COVID-19 pandemic. Such scrutiny is crucial to limit the spread of VOC that might escape the immune protection conferred by vaccination strategies or previous virus exposure. It is also becoming clear now that efficient genomic surveillance would require monitoring of the host gene expression to identify prognostic biomarkers of treatment efficacy and disease progression. Here we propose an integrative workflow to both generate thousands of SARS-CoV-2 genome sequences per week and analyze host gene expression upon infection.
Improved SARS-CoV-2 sequencing surveillance allows the identification of new variants and signatures in infected patients / Grimaldi, Antonio; Panariello, Francesco; Annunziata, Patrizia; Giuliano, Teresa; Daniele, Michela; Pierri, Biancamaria; Colantuono, Chiara; Salvi, Marcello; Bouché, Valentina; Manfredi, Anna; Cuomo, Maria Concetta; Di Concilio, Denise; Tiberio, Claudia; Fiorenza, Mariano; Portella, Giuseppe; Cimmino, Ilaria; Sorrentino, Antonio; Fusco, Giovanna; Granata, Maria Rosaria; Cerino, Pellegrino; Limone, Antonio; Atripaldi, Luigi; Ballabio, Andrea; Cacchiarelli, Davide. - In: GENOME MEDICINE. - ISSN 1756-994X. - 14:1(2022), p. 90. [10.1186/s13073-022-01098-8]
Improved SARS-CoV-2 sequencing surveillance allows the identification of new variants and signatures in infected patients
Grimaldi, Antonio;Panariello, Francesco;Salvi, Marcello;Portella, Giuseppe;Cerino, Pellegrino;Ballabio, Andrea
;Cacchiarelli, Davide
Ultimo
2022
Abstract
Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the only approach to rapidly monitor and tackle emerging variants of concern (VOC) of the COVID-19 pandemic. Such scrutiny is crucial to limit the spread of VOC that might escape the immune protection conferred by vaccination strategies or previous virus exposure. It is also becoming clear now that efficient genomic surveillance would require monitoring of the host gene expression to identify prognostic biomarkers of treatment efficacy and disease progression. Here we propose an integrative workflow to both generate thousands of SARS-CoV-2 genome sequences per week and analyze host gene expression upon infection.File | Dimensione | Formato | |
---|---|---|---|
13073_2022_Article_1098.pdf
accesso aperto
Tipologia:
Versione Editoriale (PDF)
Licenza:
Dominio pubblico
Dimensione
417.63 kB
Formato
Adobe PDF
|
417.63 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.