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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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). |
format | Online Article Text |
id | pubmed-7757730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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