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Single cell meta-analysis of EndMT and EMT state in COVID-19
COVID-19 prognoses suggests that a proportion of patients develop fibrosis, but there is no evidence to indicate whether patients have progression of mesenchymal transition (MT) in the lungs. The role of MT during the COVID-19 pandemic remains poorly understood. Using single-cell RNA sequencing, we...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558222/ https://www.ncbi.nlm.nih.gov/pubmed/36248845 http://dx.doi.org/10.3389/fimmu.2022.976512 |
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author | Zhang, Lanlan Tang, Chuang Zhang, Min Tong, Xia Xie, Yingying Yan, Ruitong Wang, Xiangjun Zhang, Xin Liu, Dan Li, Shasha |
author_facet | Zhang, Lanlan Tang, Chuang Zhang, Min Tong, Xia Xie, Yingying Yan, Ruitong Wang, Xiangjun Zhang, Xin Liu, Dan Li, Shasha |
author_sort | Zhang, Lanlan |
collection | PubMed |
description | COVID-19 prognoses suggests that a proportion of patients develop fibrosis, but there is no evidence to indicate whether patients have progression of mesenchymal transition (MT) in the lungs. The role of MT during the COVID-19 pandemic remains poorly understood. Using single-cell RNA sequencing, we profiled the transcriptomes of cells from the lungs of healthy individuals (n = 45), COVID-19 patients (n = 58), and idiopathic pulmonary fibrosis (IPF) patients (n = 64) human lungs to map the entire MT change. This analysis enabled us to map all high-resolution matrix-producing cells and identify distinct subpopulations of endothelial cells (ECs) and epithelial cells as the primary cellular sources of MT clusters during COVID-19. For the first time, we have identied early and late subgroups of endothelial mesenchymal transition (EndMT) and epithelial-mesenchymal transition (EMT) using analysis of public databases for single-cell sequencing. We assessed epithelial subgroups by age, smoking status, and gender, and the data suggest that the proportional changes in EMT in COVID-19 are statistically significant. Further enumeration of early and late EMT suggests a correlation between invasive genes and COVID-19. Finally, EndMT is upregulated in COVID-19 patients and enriched for more inflammatory cytokines. Further, by classifying EndMT as early or late stages, we found that early EndMT was positively correlated with entry factors but this was not true for late EndMT. Exploring the MT state of may help to mitigate the fibrosis impact of SARS-CoV-2 infection. |
format | Online Article Text |
id | pubmed-9558222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95582222022-10-14 Single cell meta-analysis of EndMT and EMT state in COVID-19 Zhang, Lanlan Tang, Chuang Zhang, Min Tong, Xia Xie, Yingying Yan, Ruitong Wang, Xiangjun Zhang, Xin Liu, Dan Li, Shasha Front Immunol Immunology COVID-19 prognoses suggests that a proportion of patients develop fibrosis, but there is no evidence to indicate whether patients have progression of mesenchymal transition (MT) in the lungs. The role of MT during the COVID-19 pandemic remains poorly understood. Using single-cell RNA sequencing, we profiled the transcriptomes of cells from the lungs of healthy individuals (n = 45), COVID-19 patients (n = 58), and idiopathic pulmonary fibrosis (IPF) patients (n = 64) human lungs to map the entire MT change. This analysis enabled us to map all high-resolution matrix-producing cells and identify distinct subpopulations of endothelial cells (ECs) and epithelial cells as the primary cellular sources of MT clusters during COVID-19. For the first time, we have identied early and late subgroups of endothelial mesenchymal transition (EndMT) and epithelial-mesenchymal transition (EMT) using analysis of public databases for single-cell sequencing. We assessed epithelial subgroups by age, smoking status, and gender, and the data suggest that the proportional changes in EMT in COVID-19 are statistically significant. Further enumeration of early and late EMT suggests a correlation between invasive genes and COVID-19. Finally, EndMT is upregulated in COVID-19 patients and enriched for more inflammatory cytokines. Further, by classifying EndMT as early or late stages, we found that early EndMT was positively correlated with entry factors but this was not true for late EndMT. Exploring the MT state of may help to mitigate the fibrosis impact of SARS-CoV-2 infection. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558222/ /pubmed/36248845 http://dx.doi.org/10.3389/fimmu.2022.976512 Text en Copyright © 2022 Zhang, Tang, Zhang, Tong, Xie, Yan, Wang, Zhang, Liu and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Zhang, Lanlan Tang, Chuang Zhang, Min Tong, Xia Xie, Yingying Yan, Ruitong Wang, Xiangjun Zhang, Xin Liu, Dan Li, Shasha Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title | Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title_full | Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title_fullStr | Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title_full_unstemmed | Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title_short | Single cell meta-analysis of EndMT and EMT state in COVID-19 |
title_sort | single cell meta-analysis of endmt and emt state in covid-19 |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558222/ https://www.ncbi.nlm.nih.gov/pubmed/36248845 http://dx.doi.org/10.3389/fimmu.2022.976512 |
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