Evidence map›Paper›PMID 29403453›Full record

ArticleFrontiers in microbiology2017

Multi-Platform Sequencing Approach Reveals a Novel Transcriptome Profile in Pseudorabies Virus.

Norbert Moldován, Dóra Tombácz, Attila Szűcs, Zsolt Csabai, Michael Snyder, Zsolt Boldogkői

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
18.2field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 71 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

6 authors at 2 institutions in 2 countries.

Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Attila SzűcsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, United States.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
University of Szeged · HUStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Third-generation sequencing is an emerging technology that is capable of solving several problems that earlier approaches were not able to, including the identification of transcripts isoforms and overlapping transcripts. In this study, we used long-read sequencing for the analysis of pseudorabies virus (PRV) transcriptome, including Oxford Nanopore Technologies MinION, PacBio RS-II, and Illumina HiScanSQ platforms. We also used data from our previous short-read and long-read sequencing studies for the comparison of the results and in order to confirm the obtained data. Our investigations identified 19 formerly unknown putative protein-coding genes, all of which are 5' truncated forms of earlier annotated longer PRV genes. Additionally, we detected 19 non-coding RNAs, including 5' and 3' truncated transcripts without in-frame ORFs, antisense RNAs, as well as RNA molecules encoded by those parts of the viral genome where no transcription had been detected before. This study has also led to the identification of three complex transcripts and 50 distinct length isoforms, including transcription start and end variants. We also detected 121 novel transcript overlaps, and two transcripts that overlap the replication origins of PRV. Furthermore,

Indexed as

herpesviruslong-read sequencingpseudorabies virusRNA-sequencingshort-read sequencingtranscriptome analysis

Identifiers

PMID29403453
PMCPMC5786565
OpenAlexW2786058428

What OpenQuestion holds

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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.