Different Strategies for the Identification of SARS-CoV-2 Variants in the Laboratory Practice
| Autor: | Marianna Ranaudo, Roberto Ferrante, Pamela Di Tomo, Domitilla Mandatori, Federico Anaclerio, Liborio Stuppia, Verena Damiani, Vincenzo De Laurenzi, Matteo Capanna, Ivana Antonucci, Rossella Ferrante, Simone De Fabritiis |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
Response to therapy Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Genome Viral Computational biology Disease Tracing QH426-470 Real-Time Polymerase Chain Reaction Article Disease severity Pandemic Genetics Humans laboratory practice Pandemics Genetics (clinical) Sanger SARS-CoV-2 variants SARS-CoV-2 COVID-19 qRT-PCR tracking COVID-19 Nucleic Acid Testing NGS Mutation RNA Viral Identification (biology) Laboratories Sequence Analysis |
| Zdroj: | Genes, Vol 12, Iss 1428, p 1428 (2021) Genes Volume 12 Issue 9 |
| ISSN: | 2073-4425 |
| Popis: | A considerable effort has been devoted in all countries to react to the COVID-19 pandemic by tracing infected individuals, containing the spread of the disease, identifying therapies, and producing and distributing vaccines. Currently, a significant concern is the appearance of variants of the virus that may frustrate these efforts by showing increased transmissibility, increased disease severity, reduced response to therapy or vaccines, and ability to escape diagnosis. All countries have therefore devoted a massive attempt to the identification and tracking of these variants, which requires a vast technological effort to sequence a large number of viral genomes. In this paper, we report our experience as one of the Italian laboratories involved in SARS-CoV-2 variant tracing. We summarize the different approaches used, and outline a potential model combining several techniques to increase tracing ability while at the same time minimizing costs. |
| Databáze: | OpenAIRE |
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