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Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19

In December 2019, a new coronavirus, SARS-CoV-2, which causes the respiratory illness that led to the COVID-19 pandemic, was reported. In the face of such a new pathogen, special precautions must be taken to examine potentially infectious materials due to the lack of knowledge on disease transmissib...

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Autores principales: De Domenico, Elena, Bonaguro, Lorenzo, Schulte-Schrepping, Jonas, Becker, Matthias, Händler, Kristian, Schultze, Joachim L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757730/
https://www.ncbi.nlm.nih.gov/pubmed/33377120
http://dx.doi.org/10.1016/j.xpro.2020.100233
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author De Domenico, Elena
Bonaguro, Lorenzo
Schulte-Schrepping, Jonas
Becker, Matthias
Händler, Kristian
Schultze, Joachim L.
author_facet De Domenico, Elena
Bonaguro, Lorenzo
Schulte-Schrepping, Jonas
Becker, Matthias
Händler, Kristian
Schultze, Joachim L.
author_sort De Domenico, Elena
collection PubMed
description In December 2019, a new coronavirus, SARS-CoV-2, which causes the respiratory illness that led to the COVID-19 pandemic, was reported. In the face of such a new pathogen, special precautions must be taken to examine potentially infectious materials due to the lack of knowledge on disease transmissibility, infectivity, and molecular pathogenicity. Here, we present a complete and safe workflow for performing scRNA-seq experiments on blood samples of infected patients from cell isolation to data analysis using the micro-well based BD Rhapsody platform. For complete information on the use and execution of this protocol, please refer to Schulte-Schrepping et al. (2020).
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spelling pubmed-77577302020-12-28 Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19 De Domenico, Elena Bonaguro, Lorenzo Schulte-Schrepping, Jonas Becker, Matthias Händler, Kristian Schultze, Joachim L. STAR Protoc Protocol In December 2019, a new coronavirus, SARS-CoV-2, which causes the respiratory illness that led to the COVID-19 pandemic, was reported. In the face of such a new pathogen, special precautions must be taken to examine potentially infectious materials due to the lack of knowledge on disease transmissibility, infectivity, and molecular pathogenicity. Here, we present a complete and safe workflow for performing scRNA-seq experiments on blood samples of infected patients from cell isolation to data analysis using the micro-well based BD Rhapsody platform. For complete information on the use and execution of this protocol, please refer to Schulte-Schrepping et al. (2020). Elsevier 2020-12-16 /pmc/articles/PMC7757730/ /pubmed/33377120 http://dx.doi.org/10.1016/j.xpro.2020.100233 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
De Domenico, Elena
Bonaguro, Lorenzo
Schulte-Schrepping, Jonas
Becker, Matthias
Händler, Kristian
Schultze, Joachim L.
Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title_full Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title_fullStr Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title_full_unstemmed Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title_short Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
title_sort optimized workflow for single-cell transcriptomics on infectious diseases including covid-19
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757730/
https://www.ncbi.nlm.nih.gov/pubmed/33377120
http://dx.doi.org/10.1016/j.xpro.2020.100233
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