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Journal Article Review Epublish 6 citations

PubMed: 38539075 DOI: 10.1186/s11658-024-00564-y

Decoding epitranscriptomic regulation of viral infection: mapping of RNA N-methyladenosine by advanced sequencing technologies.

Cell Mol Biol Lett 29(1):42

Authors: Xiangdong Fan, Yitong Zhang, Ruiying Guo, Kuo Yue, Guy Smagghe, Yongyue Lu, Luoluo Wang

Affiliations

  • National Key Laboratory of Green Pesticide, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
  • Molecular and Cellular Life Sciences, Department of Biology, Vrije Universiteit Brussel (VUB), 1050, Brussels, Belgium.
  • Institute of Entomology, Guizhou University, Guiyang, 550025, China.
  • Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, 9000, Ghent, Belgium.
  • National Key Laboratory of Green Pesticide, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
  • National Key Laboratory of Green Pesticide, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.

Abstract

Elucidating the intricate interactions between viral pathogens and host cellular machinery during infection is paramount for understanding pathogenic mechanisms and identifying potential therapeutic targets. The RNA modification N-methyladenosine (mA) has emerged as a significant factor influencing the trajectory of viral infections. Hence, the precise and quantitative mapping of mA modifications in both host and viral RNA is pivotal to understanding its role during viral infection. With the rapid advancement of sequencing technologies, scientists are able to detect mA modifications with various quantitative, high-resolution, transcriptome approaches. These technological strides have reignited research interest in mA, underscoring its significance and prompting a deeper investigation into its dynamics during viral infections. This review provides a comprehensive overview of the historical evolution of mA epitranscriptome sequencing technologies, highlights the latest developments in transcriptome-wide mA mapping, and emphasizes the innovative technologies for detecting mA modification. We further discuss the implications of these technologies for future research into the role of mA in viral infections.

MeSH

Cells, Physiology, Biophysics, Biochemistry, Molecular Biology, Transcriptome, Research, Infections, Virus Diseases, Rna

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