Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses

Sci Rep. 2021 Oct 21;11(1):20833. doi: 10.1038/s41598-021-00121-z.

Abstract

Several single-cell RNA sequencing (scRNA-seq) studies analyzing immune response to COVID-19 infection have been recently published. Most of these studies have small sample sizes, which limits the conclusions that can be made with high confidence. By re-analyzing these data in a standardized manner, we validated 8 of the 20 published results across multiple datasets. In particular, we found a consistent decrease in T-cells with increasing COVID-19 infection severity, upregulation of type I Interferon signal pathways, presence of expanded B-cell clones in COVID-19 patients but no consistent trend in T-cell clonal expansion. Overall, our results show that the conclusions drawn from scRNA-seq data analysis of small cohorts of COVID-19 patients need to be treated with some caution.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / metabolism*
  • Bronchoalveolar Lavage Fluid
  • COVID-19 / immunology*
  • COVID-19 / metabolism*
  • Computational Biology
  • Databases, Factual
  • Gene Expression Profiling / methods
  • Genome, Human
  • Genome, Viral
  • Humans
  • Immunity
  • Leukocytes, Mononuclear / cytology
  • RNA, Small Cytoplasmic*
  • RNA-Seq
  • Reproducibility of Results
  • SARS-CoV-2
  • Sequence Analysis, RNA / methods
  • Signal Transduction
  • Single-Cell Analysis*
  • Up-Regulation

Substances

  • Biomarkers
  • RNA, Small Cytoplasmic