Evidence map›Paper›PMID 29361122›Full record

ArticleFEMS microbiology letters2018

Multiplatform next-generation sequencing identifies novel RNA molecules and transcript isoforms of the endogenous retrovirus isolated from cultured cells.

Norbert Moldován, Attila Szucs, Dóra Tombácz, Zsolt Balázs, Zsolt Csabai, Michael Snyder, Zsolt Boldogkoi

Open access · bronzeAbstract read
In one paragraph

Article in FEMS microbiology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 20 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

7 authors at 2 institutions in 2 countries.

Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
Attila SzucsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.
Zsolt BoldogkoiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged H-6720, Hungary.
University of Szeged · HUStanford University · US

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
NHGRI NIH HHS P50 HG007735
6 · The paper itself

Abstract

In this study, we applied short- and long-read RNA sequencing techniques, as well as PCR analysis to investigate the transcriptome of the porcine endogenous retrovirus (PERV) expressed from cultured porcine kidney cell line PK-15. This analysis has revealed six novel transcripts and eight transcript isoforms, including five length and three splice variants. We were able to establish whether a deletion in a transcript is the result of the splicing of mRNAs or of genomic deletion in one of the PERV clones. Additionally, we re-annotated the formerly identified RNA molecules. Our analysis revealed a higher complexity of PERV transcriptome than it was earlier believed.

Indexed as

Alternative SplicingAnimalsCell LineEndogenous RetrovirusesGene Expression ProfilingGenome, ViralHigh-Throughput Nucleotide SequencingRNA, MessengerRNA, ViralSequence DeletionSwineRNA, MessengerRNA, Viralendogenous retrovirusfull-length sequencingOxford Nanopore TechnologiesPacific BiosciencesRNA-Seqtranscriptome

Identifiers

PMID29361122
PMCPMC6279139
OpenAlexW2791135228

What OpenQuestion holds

Textmetadata
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.