Detailed Information on Publication Record
2023
In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing
KAKUK, Balázs, Ákos DÖRMŐ, Zsolt CSABAI, Gábor KEMENESI, Jiří HOLOUBEK et. al.Basic information
Original name
In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing
Authors
KAKUK, Balázs, Ákos DÖRMŐ, Zsolt CSABAI, Gábor KEMENESI, Jiří HOLOUBEK (203 Czech Republic, belonging to the institution), Daniel RŮŽEK (203 Czech Republic, belonging to the institution), 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 and Zsolt BOLDOGKŐI (guarantor)
Edition
Scientific Data, Nature Publishing Group, 2023, 2052-4463
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10606 Microbiology
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 9.800 in 2022
RIV identification code
RIV/00216224:14310/23:00130853
Organization unit
Faculty of Science
UT WoS
001001297200001
Keywords in English
Pox virus; Transcriptomics; Virus–host interactions; mpox; monkeypox; nanopore sequencing
Tags
Tags
International impact, Reviewed
Změněno: 10/7/2023 14:33, Mgr. Marie Šípková, DiS.
Abstract
V originále
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.