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

Elena De Domenico, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Matthias Becker, Kristian Händler, Joachim L Schultze
Author Information
  1. Elena De Domenico: German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, and University of Bonn, Bonn, Germany.
  2. Lorenzo Bonaguro: Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  3. Jonas Schulte-Schrepping: Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  4. Matthias Becker: German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, and University of Bonn, Bonn, Germany.
  5. Kristian Händler: German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, and University of Bonn, Bonn, Germany.
  6. Joachim L Schultze: German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, and University of Bonn, Bonn, Germany.

Abstract

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).

Keywords

References

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MeSH Term

Biomarkers
COVID-19
Communicable Diseases
Humans
RNA-Seq
SARS-CoV-2
Single-Cell Analysis
Transcriptome
Workflow

Chemicals

Biomarkers

Word Cloud

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