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Time-course transcriptome profiling of a poxvirus using long-read full-length assay

  • D. ra Tombácz
  • , István Prazsák
  • , G. bor Torma
  • , Zsolt Csabai
  • , Zsolt Balázs
  • , Norbert Moldován
  • , B. la Dénes
  • , Michael Snyder
  • , Zsolt Boldogkői*
  • *Corresponding author for this work
  • University of Szeged
  • Stanford University Medical Center
  • National Food Chain Safety Office

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Viral transcriptomes that are determined using first- and second-generation sequencing techniques are incomplete. Due to the short read length, these methods are inefficient or fail to distinguish between transcript isoforms, polycistronic RNAs, and transcriptional overlaps and readthroughs. Additionally, these approaches are insensitive for the identification of splice and transcriptional start sites (TSSs) and, in most cases, transcriptional end sites (TESs), especially in transcript isoforms with varying transcript ends, and in multi-spliced transcripts. Long-read sequencing is able to read full-length nucleic acids and can therefore be used to assemble complete transcriptome atlases. Although vaccinia virus (VACV) does not produce spliced RNAs, its transcriptome has a high diversity of TSSs and TESs, and a high degree of polycistronism that leads to enormous complexity. We applied single-molecule, real-time, and nanopore-based sequencing methods to investigate the time-lapse transcriptome patterns of VACV gene expression.
Original languageEnglish
Article number919
JournalPathogens
Volume10
Issue number8
DOIs
Publication statusPublished - 1 Aug 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Gene expression
  • Long-read sequencing
  • Nanopore sequencing
  • Transcriptome profiling
  • Vaccinia virus

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