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10.1038/s41598-021-00121-z

http://scihub22266oqcxt.onion/10.1038/s41598-021-00121-z
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34675242!8531356!34675242
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suck abstract from ncbi


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pmid34675242      Sci+Rep 2021 ; 11 (1): 20833
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  • Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses #MMPMID34675242
  • Garg M; Li X; Moreno P; Papatheodorou I; Shu Y; Brazma A; Miao Z
  • Sci Rep 2021[Oct]; 11 (1): 20833 PMID34675242show ga
  • 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.
  • |*RNA, Small Cytoplasmic[MESH]
  • |*Single-Cell Analysis[MESH]
  • |Biomarkers/*metabolism[MESH]
  • |Bronchoalveolar Lavage Fluid[MESH]
  • |COVID-19/*immunology/*metabolism[MESH]
  • |Computational Biology[MESH]
  • |Databases, Factual[MESH]
  • |Gene Expression Profiling/methods[MESH]
  • |Genome, Human[MESH]
  • |Genome, Viral[MESH]
  • |Humans[MESH]
  • |Immunity[MESH]
  • |Leukocytes, Mononuclear/cytology[MESH]
  • |RNA-Seq[MESH]
  • |Reproducibility of Results[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Analysis, RNA/methods[MESH]
  • |Signal Transduction[MESH]


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