Scientific Data (May 2023)

In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing

  • Balázs Kakuk,
  • Ákos Dörmő,
  • Zsolt Csabai,
  • Gábor Kemenesi,
  • Jiří Holoubek,
  • Daniel Růžek,
  • István Prazsák,
  • Virág Éva Dani,
  • Béla Dénes,
  • Gábor Torma,
  • Ferenc Jakab,
  • Gábor E. Tóth,
  • Fanni V. Földes,
  • Brigitta Zana,
  • Zsófia Lanszki,
  • Ákos Harangozó,
  • Ádám Fülöp,
  • Gábor Gulyás,
  • Máté Mizik,
  • András Attila Kiss,
  • Dóra Tombácz,
  • Zsolt Boldogkői

DOI
https://doi.org/10.1038/s41597-023-02149-4
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 12

Abstract

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Abstract The recent human Monkeypox outbreak underlined the importance of studying basic biology of orthopoxviruses. However, the transcriptome of its causative agent has not been investigated before neither with short-, nor with long-read sequencing approaches. This Oxford Nanopore long-read RNA-Sequencing dataset fills this gap. It will enable the in-depth characterization of the transcriptomic architecture of the monkeypox virus, and may even make possible to annotate novel host transcripts. Moreover, our direct cDNA and native RNA sequencing reads will allow the estimation of gene expression changes of both the virus and the host cells during the infection. Overall, our study will lead to a deeper understanding of the alterations caused by the viral infection on a transcriptome level.