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Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis
SARS-CoV-2 replication requires the synthesis of a set of structural proteins expressed through discontinuous transcription of ten subgenomic mRNAs (sgmRNAs). Here, we have fine-tuned droplet digital PCR (ddPCR) assays to accurately detect and quantify SARS-CoV-2 genomic ORF1ab and sgmRNAs for the n...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536764/ https://www.ncbi.nlm.nih.gov/pubmed/34686777 http://dx.doi.org/10.1038/s42003-021-02748-0 |
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author | Oranger, Annarita Manzari, Caterina Chiara, Matteo Notario, Elisabetta Fosso, Bruno Parisi, Antonio Bianco, Angelica Iacobellis, Michela d’Avenia, Morena D’Erchia, Anna Maria Pesole, Graziano |
author_facet | Oranger, Annarita Manzari, Caterina Chiara, Matteo Notario, Elisabetta Fosso, Bruno Parisi, Antonio Bianco, Angelica Iacobellis, Michela d’Avenia, Morena D’Erchia, Anna Maria Pesole, Graziano |
author_sort | Oranger, Annarita |
collection | PubMed |
description | SARS-CoV-2 replication requires the synthesis of a set of structural proteins expressed through discontinuous transcription of ten subgenomic mRNAs (sgmRNAs). Here, we have fine-tuned droplet digital PCR (ddPCR) assays to accurately detect and quantify SARS-CoV-2 genomic ORF1ab and sgmRNAs for the nucleocapsid (N) and spike (S) proteins. We analyzed 166 RNA samples from anonymized SARS-CoV-2 positive subjects and we observed a recurrent and characteristic pattern of sgmRNAs expression in relation to the total viral RNA content. Additionally, expression profiles of sgmRNAs, as determined by meta-transcriptomics sequencing of a subset of 110 RNA samples, were highly correlated with those obtained by ddPCR. By providing a comprehensive and dynamic snapshot of the levels of SARS-CoV-2 sgmRNAs in infected individuals, our results may contribute a better understanding of the dynamics of transcription and expression of the genome of SARS-CoV-2 and facilitate the development of more accurate molecular diagnostic tools for the stratification of COVID-19 patients. |
format | Online Article Text |
id | pubmed-8536764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85367642021-11-15 Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis Oranger, Annarita Manzari, Caterina Chiara, Matteo Notario, Elisabetta Fosso, Bruno Parisi, Antonio Bianco, Angelica Iacobellis, Michela d’Avenia, Morena D’Erchia, Anna Maria Pesole, Graziano Commun Biol Article SARS-CoV-2 replication requires the synthesis of a set of structural proteins expressed through discontinuous transcription of ten subgenomic mRNAs (sgmRNAs). Here, we have fine-tuned droplet digital PCR (ddPCR) assays to accurately detect and quantify SARS-CoV-2 genomic ORF1ab and sgmRNAs for the nucleocapsid (N) and spike (S) proteins. We analyzed 166 RNA samples from anonymized SARS-CoV-2 positive subjects and we observed a recurrent and characteristic pattern of sgmRNAs expression in relation to the total viral RNA content. Additionally, expression profiles of sgmRNAs, as determined by meta-transcriptomics sequencing of a subset of 110 RNA samples, were highly correlated with those obtained by ddPCR. By providing a comprehensive and dynamic snapshot of the levels of SARS-CoV-2 sgmRNAs in infected individuals, our results may contribute a better understanding of the dynamics of transcription and expression of the genome of SARS-CoV-2 and facilitate the development of more accurate molecular diagnostic tools for the stratification of COVID-19 patients. Nature Publishing Group UK 2021-10-22 /pmc/articles/PMC8536764/ /pubmed/34686777 http://dx.doi.org/10.1038/s42003-021-02748-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Oranger, Annarita Manzari, Caterina Chiara, Matteo Notario, Elisabetta Fosso, Bruno Parisi, Antonio Bianco, Angelica Iacobellis, Michela d’Avenia, Morena D’Erchia, Anna Maria Pesole, Graziano Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title | Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title_full | Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title_fullStr | Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title_full_unstemmed | Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title_short | Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis |
title_sort | accurate detection and quantification of sars-cov-2 genomic and subgenomic mrnas by ddpcr and meta-transcriptomics analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536764/ https://www.ncbi.nlm.nih.gov/pubmed/34686777 http://dx.doi.org/10.1038/s42003-021-02748-0 |
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