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Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19
Author(s) -
Elena De Domenico,
Lorenzo Bonaguro,
Jonas Schulte-Schrepping,
Matthias Becker,
Kristian Händler,
Joachim L. Schultze
Publication year - 2020
Publication title -
star protocols
Language(s) - English
Resource type - Journals
ISSN - 2666-1667
DOI - 10.1016/j.xpro.2020.100233
Subject(s) - infectivity , covid-19 , pandemic , workflow , pathogenicity , pathogen , isolation (microbiology) , infectious disease (medical specialty) , virology , transcriptome , coronavirus , protocol (science) , computational biology , disease , medicine , biology , computer science , bioinformatics , immunology , gene , microbiology and biotechnology , virus , database , genetics , outbreak , pathology , gene expression , alternative medicine
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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