Selected article for: "cell type and single cell RNA seq"
Author: Garg, Manik; Li, Xu; Moreno, Pablo; Papatheodorou, Irene; Shu, Yuelong; Brazma, Alvis; Miao, Zhichao
Title: Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses
  • Cord-id: r4vifz0x
  • Document date: 2021_10_21
    • ID: r4vifz0x
    Snippet: 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 Inter
    Document: 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.

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