J 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.