Evidence map›Paper›PMID 34451383›Full record

ArticlePathogens (Basel, Switzerland)2021

Time-Course Transcriptome Profiling of a Poxvirus Using Long-Read Full-Length Assay.

Dóra Tombácz, István Prazsák, Gábor Torma, Zsolt Csabai, Zsolt Balázs, Norbert Moldován, Béla Dénes, Michael Snyder, Zsolt Boldogkői

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0001-5520-2978
István PrazsákDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.
Gábor TormaDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.
Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-3537-7441
Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-4138-586X
Béla DénesVeterinary Diagnostic Directorate, National Food Chain Safety Office, 1143 Budapest, Hungary.ORCID 0000-0002-9889-529X
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94304, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-1184-7293
University of Szeged · HUNational Food Chain Safety Office · HUStanford University · US

Funding

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal FK 128252Nemzeti Kutatási Fejlesztési és Innovációs Hivatal K 128247
6 · The paper itself

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.

Indexed as

gene expressionlong-read sequencingnanopore sequencingtranscriptome profilingvaccinia virus

Identifiers

PMID34451383
PMCPMC8398953
OpenAlexW3185324938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.