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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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