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An integrative analysis identifying transcriptional features and key genes involved in COVID-19
Aim: To elucidate the transcriptional characteristics of COVID-19. Materials & methods: We utilized an integrative approach to comprehensively analyze the transcriptional features of both COVID-19 patients and SARS-CoV-2 infected cells. Results: Widespread infiltration of immune cells was observ...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714049/ https://www.ncbi.nlm.nih.gov/pubmed/33242255 http://dx.doi.org/10.2217/epi-2020-0168 |
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author | Li, Guoping Wang, Junyi He, Xiang Zhang, Lei Ran, Qin Xiong, Anying Wu, Dehong Hu, Lingjuan Song, Qi Zhu, Dong |
author_facet | Li, Guoping Wang, Junyi He, Xiang Zhang, Lei Ran, Qin Xiong, Anying Wu, Dehong Hu, Lingjuan Song, Qi Zhu, Dong |
author_sort | Li, Guoping |
collection | PubMed |
description | Aim: To elucidate the transcriptional characteristics of COVID-19. Materials & methods: We utilized an integrative approach to comprehensively analyze the transcriptional features of both COVID-19 patients and SARS-CoV-2 infected cells. Results: Widespread infiltration of immune cells was observed. We identified 233 genes that were codifferentially expressed in both bronchoalveolar lavage fluid and lung samples of COVID-19 patients. Functional analysis suggested upregulated genes were related to immune response such as neutrophil activation and antivirus response, while downregulated genes were associated with cell adhesion. Finally, we identified LCN2, STAT1 and UBE2L6 as core genes during SARS-CoV-2 infection. Conclusion: The identification of core genes involved in COVID-19 can provide us with more insights into the molecular features of COVID-19. |
format | Online Article Text |
id | pubmed-7714049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77140492020-12-03 An integrative analysis identifying transcriptional features and key genes involved in COVID-19 Li, Guoping Wang, Junyi He, Xiang Zhang, Lei Ran, Qin Xiong, Anying Wu, Dehong Hu, Lingjuan Song, Qi Zhu, Dong Epigenomics Research Article Aim: To elucidate the transcriptional characteristics of COVID-19. Materials & methods: We utilized an integrative approach to comprehensively analyze the transcriptional features of both COVID-19 patients and SARS-CoV-2 infected cells. Results: Widespread infiltration of immune cells was observed. We identified 233 genes that were codifferentially expressed in both bronchoalveolar lavage fluid and lung samples of COVID-19 patients. Functional analysis suggested upregulated genes were related to immune response such as neutrophil activation and antivirus response, while downregulated genes were associated with cell adhesion. Finally, we identified LCN2, STAT1 and UBE2L6 as core genes during SARS-CoV-2 infection. Conclusion: The identification of core genes involved in COVID-19 can provide us with more insights into the molecular features of COVID-19. Future Medicine Ltd 2020-11-26 2020-09 /pmc/articles/PMC7714049/ /pubmed/33242255 http://dx.doi.org/10.2217/epi-2020-0168 Text en © 2020 Future Medicine Ltd This work is licensed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Research Article Li, Guoping Wang, Junyi He, Xiang Zhang, Lei Ran, Qin Xiong, Anying Wu, Dehong Hu, Lingjuan Song, Qi Zhu, Dong An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title | An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title_full | An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title_fullStr | An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title_full_unstemmed | An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title_short | An integrative analysis identifying transcriptional features and key genes involved in COVID-19 |
title_sort | integrative analysis identifying transcriptional features and key genes involved in covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714049/ https://www.ncbi.nlm.nih.gov/pubmed/33242255 http://dx.doi.org/10.2217/epi-2020-0168 |
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