The landscape of differential splicing and transcript alternations in severe COVID-19 infection

Sunanda Biswas Mukherjee, Sumit Mukherjee, Rajesh Detroja, Milana Frenkel-Morgenstern

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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 languageEnglish
Pages (from-to)3128-3144
Number of pages17
JournalFEBS Journal
Volume290
Issue number12
Early online date11 Jan 2023
DOIs
StatePublished - 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).

FundersFunder number
COVID-19 Data Science Institute
COVID‐19 Data Science Institute
Israeli Council of Higher Education and Research
National Institutes of HealthNIHCA2284974, 2022
Bar-Ilan University247017
Defence Science Institute

    Keywords

    • RNA alternations
    • chimeric transcripts
    • isoform switching
    • severe COVID-19

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