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

0574489 - BC 2024 RIV GB eng J - Journal Article
Kakuk, B. - Dormo, A. - Csabai, Z. - Kemenesi, G. - Holoubek, Jiří - Růžek, Daniel - Prazsak, I. - Dani, V.É. - Denes, B. - Torma, G. - Jakab, F. - Tóth, G. - Foldes, F.V. - Zana, B. - Lanszki, Z. - Harangozo, A. - Fülöp, A. - Gulyas, G. - Mizik, M. - Kiss, A. A. - Tombacz, D. - Boldogkoi, Z.
In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing.
Scientific Data. Roč. 10, č. 1 (2023), č. článku 262. E-ISSN 2052-4463
Institutional support: RVO:60077344
Keywords : Transcriptome * Monkeypox * Host Cells
OECD category: Polymer science
Impact factor: 9.8, year: 2022
Method of publishing: Open access
https://www.nature.com/articles/s41597-023-02149-4

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.
Permanent Link: https://hdl.handle.net/11104/0345553