New Paper (Other): Large-Scale Multi-omic Analysis of COVID-19 Severity

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Title: Large-Scale Multi-omic Analysis of COVID-19 Severity

General Information

Please paste a link to the paper or a citation here:

Link: https://doi.org/10.1016/j.cels.2020.10.003

What is the paper's Manubot-style citation?

Citation: doi:10.1016/j.cels.2020.10.003

Is this paper primarily relevant to Background or Pathogenesis?

• [x] Background
• [ ] Pathogenesis
• [ ] Methods

Please list some keywords (3-10) that help identify the relevance of this paper to COVID-19

• mass spectrometry
• blood
• COVID-19 severity

Please note the publication / review status

• [ ] Pre-print
• [x] New Peer-Reviewed Paper
• [ ] Peer-Reviewed Paper Pre-2020

Which areas of expertise are particularly relevant to the paper?

• [ ] virology
• [ ] epidemiology
• [ ] biostatistics
• [ ] immunology
• [ ] pharmacology
• [x] other: systems biology

Summary

We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from COVID-19-positive and COVID-19-negative patients with diverse disease severities and outcomes.

Our current draft says

No comprehensive proteomic analyses of the pathogen or of patients suffering from its infection have yet been reported.

This paper provides one type of analysis. They also have a website for exploring the data https://covid-omics.app/

Suggested questions to answer about each paper:

• What did they analyze?
• What methods did they use?
• Does this paper study COVID-19, SARS-CoV-2, or a related disease and/or virus?
• What is the main finding (or a few main takeaways)?
• What does this paper tell us about the background and/or diagnostics/therapeutics for COVID-19 / SARS-CoV-2?
• Do you have any concerns about methodology or the interpretation of these results beyond this analysis?

Any comments or notes?