Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections

Zilong Zhang1, Feifei Cui1, Chen Cao2

  • 1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, China; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, 324000, China.

Insights

Macrophages are key in COVID-19 lung infections, with M1-like macrophages linked to severe disease. Ribosome pathways offer potential therapeutic targets for coronavirus disease 2019 (COVID-19) lung infections.

Area of Science:

  • Immunology
  • Virology
  • Bioinformatics

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has resulted in millions of deaths globally.
  • Understanding SARS-CoV-2 cell invasion mechanisms and susceptible cell types is crucial for developing effective therapies.

Purpose of the Study:

  • To identify organ-specific susceptible cell types for COVID-19 using bioinformatic analysis.
  • To elucidate the role of specific cell types and pathways in COVID-19 pathogenesis and disease severity.

Main Methods:

  • Comprehensive bioinformatic analysis of public single-cell RNA sequencing datasets.
  • Utilized expression data for six confirmed COVID-19 receptors (ACE2, TMPRSS2, NRP1, AXL, FURIN, CTSL).
  • Performed cell-cell communication and trajectory analyses.

Main Results:

  • Macrophages identified as highly susceptible cells in lung pathogenesis of SARS-CoV-2.
  • Ribosome-related pathways identified as potential therapeutic targets, alongside the "chemokine storm."
  • M1-like macrophages showed the strongest association with severe COVID-19; chemokine pathways linked to severe symptoms, while ribosome/RNA pathways linked to mild symptoms.

Conclusions:

  • Macrophages, particularly M1-like subtypes, play a significant role in COVID-19 lung pathogenesis and disease severity.
  • Ribosome and RNA activity pathways represent novel therapeutic targets for COVID-19 lung infections.
  • Bioinformatic analysis of susceptible cell types provides insights into COVID-19 mechanisms and potential therapeutic strategies.