DsRNA sequencing for RNA virus surveillance using human clinical samples

Takuma Izumi, Yuhei Morioka, Syun Ichi Urayama, Daisuke Motooka, Tomokazu Tamura, Takahiro Kawagishi, Yuta Kanai, Takeshi Kobayashi, Chikako Ono, Akinari Morinaga, Takahiro Tomiyama, Norifumi Iseda, Yukiko Kosai, Shoichi Inokuchi, Shota Nakamura, Tomohisa Tanaka, Kohji Moriishi, Hiroaki Kariwa, Tomoharu Yoshizumi, Masaki MoriYoshiharu Matsuura, Takasuke Fukuhara

Research output: Contribution to journalArticlepeer-review

Abstract

Although viruses infect various organs and are associated with diseases, there may be many unidentified pathogenic viruses. The recent development of next-generation sequencing technologies has facilitated the establishment of an environmental viral metagenomic approach targeting the intracellular viral genome. However, an efficient method for the detection of a viral genome derived from an RNA virus in animal or human samples has not been established. Here, we established a method for the efficient detection of RNA viruses in human clinical samples. We then tested the efficiency of the method compared to other conventional methods by using tissue samples collected from 57 recipients of living donor liver transplantations performed between June 2017 and February 2019 at Kyushu University Hospital. The viral read ratio in human clinical samples was higher by the new method than by the other conventional methods. In addition, the new method correctly identified viral RNA from liver tissues infected with hepatitis C virus. This new technique will be an effective tool for intracellular RNA virus surveillance in human clinical samples and may be useful for the detection of new RNA viruses associated with diseases.

Original languageEnglish
Article number1310
JournalViruses
Volume13
Issue number7
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Infectious Diseases
  • Virology

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