Evidence map›Paper›PMID 28549855›Full record

ArticleVirus research2017

Multi-platform analysis reveals a complex transcriptome architecture of a circovirus.

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

Open access · greenAbstract read
In one paragraph

Article in Virus research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 42 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, Hungary.
Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary; Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Attila SzűcsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary. Electronic address: boldogkoi.zsolt@med.u-szeged.hu.
University of Szeged · HUStanford University · US

Funding

Human Genome Array: Technology for Functional AnalysisP50HG002357 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2001 to 2010
$31.9M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
NHGRI NIH HHS P50 HG002357NHGRI NIH HHS P50 HG007735
6 · The paper itself

Abstract

In this study, we used Pacific Biosciences RS II long-read and Illumina HiScanSQ short-read sequencing technologies for the characterization of porcine circovirus type 1 (PCV-1) transcripts. Our aim was to identify novel RNA molecules and transcript isoforms, as well as to determine the exact 5'- and 3'-end sequences of previously described transcripts with single base-pair accuracy. We discovered a novel 3'-UTR length isoform of the Cap transcript, and a non-spliced Cap transcript variant. Additionally, our analysis has revealed a 3'-UTR isoform of Rep and two 5'-UTR isoforms of Rep' transcripts, and a novel splice variant of the longer Rep' transcript. We also explored two novel long transcripts, one with a previously identified splice site, and a formerly undetected mRNA of ORF3. Altogether, our methods have identified nine novel RNA molecules, doubling the size of PCV-1 transcriptome that had been known before. Additionally, our investigations revealed an intricate pattern of transcript overlapping, which might produce transcriptional interference between the transcriptional machineries of adjacent genes, and thereby may potentially play a role in the regulation of gene expression in circoviruses.

Indexed as

Gene Expression ProfilingTranscription, GeneticVirus ReplicationAnimalsCell LineCircovirusRNA, ViralSequence Analysis, RNASwineRNA, ViralIsoform sequencingLong-read sequencingPacBio sequencingPorcine circovirusShort-read sequencingTranscriptional interferenceTranscriptome

Identifiers

PMID28549855
PMCPMC5927800
OpenAlexW2619694242

What Socratic holds

Textmetadata
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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 Socratic graph.