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

B. Kakuk, Á. Dörmő, Z. Csabai, G. Kemenesi, J. Holoubek, D. Růžek, I. Prazsák, VÉ. Dani, B. Dénes, G. Torma, F. Jakab, GE. Tóth, FV. Földes, B. Zana, Z. Lanszki, Á. Harangozó, Á. Fülöp, G. Gulyás, M. Mizik, AA. Kiss, D. Tombácz, Z. Boldogkői

. 2023 ; 10 (1) : 262. [pub] 20230509

Language English Country England, Great Britain

Document type Dataset, Journal Article

Persistent link   https://www.medvik.cz/link/bmc23011463

Grant support
K 128247 Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
K 142674 Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
FK 128252 Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)

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.

References provided by Crossref.org

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$a 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.
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