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Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses
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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531356/ https://www.ncbi.nlm.nih.gov/pubmed/34675242 http://dx.doi.org/10.1038/s41598-021-00121-z |
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author | Garg, Manik Li, Xu Moreno, Pablo Papatheodorou, Irene Shu, Yuelong Brazma, Alvis Miao, Zhichao |
author_facet | Garg, Manik Li, Xu Moreno, Pablo Papatheodorou, Irene Shu, Yuelong Brazma, Alvis Miao, Zhichao |
author_sort | Garg, Manik |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8531356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85313562021-10-22 Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses Garg, Manik Li, Xu Moreno, Pablo Papatheodorou, Irene Shu, Yuelong Brazma, Alvis Miao, Zhichao Sci Rep Article 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. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531356/ /pubmed/34675242 http://dx.doi.org/10.1038/s41598-021-00121-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Garg, Manik Li, Xu Moreno, Pablo Papatheodorou, Irene Shu, Yuelong Brazma, Alvis Miao, Zhichao Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title | Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title_full | Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title_fullStr | Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title_full_unstemmed | Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title_short | Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses |
title_sort | meta-analysis of covid-19 single-cell studies confirms eight key immune responses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531356/ https://www.ncbi.nlm.nih.gov/pubmed/34675242 http://dx.doi.org/10.1038/s41598-021-00121-z |
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