Abstract
Viral infections can modulate the widespread alternations of cellular splicing, favouring viral replication within the host cells by overcoming host immune responses. However, how SARS-CoV-2 induces host cell differential splicing and affects the landscape of transcript alternation in severe COVID-19 infection remains elusive. Understanding the differential splicing and transcript alternations in severe COVID-19 infection may improve our molecular insights into the SARS-CoV-2 pathogenesis. In this study, we analysed the publicly available blood and lung transcriptome data of severe COVID-19 patients, blood transcriptome data of recovered COVID-19 patients at 12-, 16- and 24-week postinfection and healthy controls. We identified a significant transcript isoform switching in the individual blood and lung RNA-seq data of severe COVID-19-infected patients and 25 common genes that alter their transcript isoform in both blood and lung samples. Altered transcripts show significant loss of the open reading frame, functional domains and switch from coding to noncoding transcript, impacting normal cellular functions. Furthermore, we identified the expression of several novel recurrent chimeric transcripts in the blood samples from severe COVID-19 patients. Moreover, the analysis of the isoform switching into blood samples from recovered COVID-19 patients highlights that there is no significant isoform switching in 16- and 24-week postinfection, and the levels of expressed chimeric transcripts are reduced. This finding emphasizes that SARS-CoV-2 severe infection induces widespread splicing in the host cells, which could help the virus alter the host immune responses and facilitate the viral replication within the host and the efficient translation of viral proteins.
Original language | English |
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Pages (from-to) | 3128-3144 |
Number of pages | 17 |
Journal | FEBS Journal |
Volume | 290 |
Issue number | 12 |
Early online date | 11 Jan 2023 |
DOIs | |
State | Published - Jun 2023 |
Bibliographical note
Publisher Copyright:© 2023 Federation of European Biochemical Societies.
Funding
The authors thank members of the Cancer Genomics and Biocomputing of Complex Diseases Lab for multiple discussions at different stages of this project. We thank Dr Eliezer Gideon Baum for the critical reading and comments on the manuscript. SM was supported by the Israeli Council of Higher Education and Research through the PBC fellowship program for outstanding postdoctoral researchers from China and India (2019–2021). MF-M was supported by the COVID-19 Data Science Institute (DSI) grant, Bar-Ilan University (#247017, 2020–2021). SM is grateful to the National Institutes of Health (NIH), USA, for providing Visiting Fellow Award (NIHCA2284974, 2022). The authors thank members of the Cancer Genomics and Biocomputing of Complex Diseases Lab for multiple discussions at different stages of this project. We thank Dr Eliezer Gideon Baum for the critical reading and comments on the manuscript. SM was supported by the Israeli Council of Higher Education and Research through the PBC fellowship program for outstanding postdoctoral researchers from China and India (2019–2021). MF‐M was supported by the COVID‐19 Data Science Institute (DSI) grant, Bar‐Ilan University (#247017, 2020–2021). SM is grateful to the National Institutes of Health (NIH), USA, for providing Visiting Fellow Award (NIHCA2284974, 2022).
Funders | Funder number |
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COVID-19 Data Science Institute | |
COVID‐19 Data Science Institute | |
Israeli Council of Higher Education and Research | |
National Institutes of Health | NIHCA2284974, 2022 |
Bar-Ilan University | 247017 |
Defence Science Institute |
Keywords
- RNA alternations
- chimeric transcripts
- isoform switching
- severe COVID-19