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

Manik Garg, Li Xu, Pablo Moreno, Irene Papatheodorou, Yuelong Shu, Alvis Brāzma, Zhichao Miao

2021Scientific Reports18 citationsDOIOpen Access PDF

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Immune systemSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computational biology2019-20 coronavirus outbreakBiologySingle-cell analysisCellT cellImmunologyMedicineVirologyGeneticsInternal medicineDiseaseOutbreakInfectious disease (medical specialty)Single-cell and spatial transcriptomicsSARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies