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Updated: Sep 29, 2025

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV
Published on: March 5, 2022
Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV.
Sara Cristinelli1, Paolo Angelino2, Angela Ciuffi3
1Institute of Microbiology, Lausanne University Hospital and University of Lausanne; sara.cristinelli@chuv.ch.
This study introduces a novel workflow to simultaneously analyze N6-methyladenosine (m6A) and 5-methylcytosine (m5C) RNA modifications in cells, including those infected with HIV. The method identifies differentially methylated transcripts, offering insights into cellular responses to viral infections.
Area of Science:
- Epitranscriptomics
- Molecular Biology
- Virology
Background:
- RNA modifications like N6-methyladenosine (m6A) and 5-methylcytosine (m5C) are crucial regulatory layers in cellular processes.
- Epitranscriptomics, the study of these modifications, is vital for understanding gene regulation beyond transcriptomics.
- Viral infections can alter cellular epitranscriptomic landscapes.
Purpose of the Study:
- To develop and present a workflow for simultaneous analysis of m6A and m5C RNA modifications.
- To investigate the joint epitranscriptomic landscape in cells infected with human immunodeficiency virus (HIV).
- To identify differentially methylated transcripts in response to viral infection.
Main Methods:
- Utilized MeRIP-Seq to enrich for m6A-modified RNA fragments.
- Employed BS-Seq for single-nucleotide resolution identification of m5C marks.
- Developed a bioinformatics pipeline to analyze methylation data independently of expression levels.
Main Results:
- Successfully established a method for simultaneous epitranscriptomic analysis of m6A and m5C.
- Generated an atlas of differentially methylated transcripts in HIV-infected cells.
- Demonstrated the capability to identify changes in RNA modifications upon viral infection.
Conclusions:
- The presented methodology enables simultaneous exploration of multiple epitranscriptomic marks.
- This approach provides new opportunities to discover novel cellular factors and mechanisms involved in antiviral responses.
- The workflow is applicable to studying epitranscriptomic alterations in various cell perturbations, including viral infections.
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