Evidence map›Paper›PMID 34991630›Full record

ArticleVirology journal2022

Integrative profiling of Epstein-Barr virus transcriptome using a multiplatform approach.

Ádám Fülöp, Gábor Torma, Norbert Moldován, Kálmán Szenthe, Ferenc Bánáti, Islam A A Almsarrhad, Zsolt Csabai, Dóra Tombácz, János Minárovits, Zsolt Boldogkői

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 23 citations in OpenAlex.

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  7. Global cis-regulatory landscape of double-stranded DNA viruses.bioRxiv : the preprint server for biology · 2025
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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

10 authors at 2 institutions in 2 countries.

Ádám Fülöp *Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
Gábor Torma *Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
Norbert MoldovánDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
Kálmán SzentheCarlsbad Research Organization Ltd., Szabadság u. 2., Újrónafő, 9244, Hungary.
Ferenc BánátiRT-Europe Research Center, Vár tér 2., Mosonmagyaróvár, 9200, Hungary.
Islam A A AlmsarrhadDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
Dóra TombáczDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
János MinárovitsDepartment of Oral Biology and Experimental Dental Research, University of Szeged, Tisza Lajos krt. 64, Szeged, 6720, Hungary.
Zsolt BoldogkőiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary. boldogkoi.zsolt@med.u-szeged.hu.ORCID 0000-0003-1184-7293
University of Szeged · HUStructural Analytics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpstein-Barr virus (EBV) is an important human pathogenic gammaherpesvirus with carcinogenic potential. The EBV transcriptome has previously been analyzed using both Illumina-based short read-sequencing and Pacific Biosciences RS II-based long-read sequencing technologies. Since the various sequencing methods have distinct strengths and limitations, the use of multiplatform approaches have proven to be valuable. The aim of this study is to provide a more complete picture on the transcriptomic architecture of EBV.

methodsIn this work, we apply the Oxford Nanopore Technologies MinION (long-read sequencing) platform for the generation of novel transcriptomic data, and integrate these with other's data generated by another LRS approach, Pacific BioSciences RSII sequencing and Illumina CAGE-Seq and Poly(A)-Seq approaches. Both amplified and non-amplified cDNA sequencings were applied for the generation of sequencing reads, including both oligo-d(T) and random oligonucleotide-primed reverse transcription. EBV transcripts are identified and annotated using the LoRTIA software suite developed in our laboratory.

resultsThis study detected novel genes embedded into longer host genes containing 5'-truncated in-frame open reading frames, which potentially encode N-terminally truncated proteins. We also detected a number of novel non-coding RNAs and transcript length isoforms encoded by the same genes but differing in their start and/or end sites. This study also reports the discovery of novel splice isoforms, many of which may represent altered coding potential, and of novel replication-origin-associated transcripts. Additionally, novel mono- and multigenic transcripts were identified. An intricate meshwork of transcriptional overlaps was revealed.

conclusionsAn integrative approach applying multi-technique sequencing technologies is suitable for reliable identification of complex transcriptomes because each techniques has different advantages and limitations, and the they can be used for the validation of the results obtained by a particular approach.

Indexed as

Epstein-Barr Virus InfectionsTranscriptomeGene Expression ProfilingHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansOpen Reading FramesEpstein–Barr virusHerpesvirusLong-read sequencingNanopore sequencingPacBio sequencingSplice variantTranscription end siteTranscription start siteTranscript isoformTranscriptome

Identifiers

PMID34991630
PMCPMC8740505
OpenAlexW4206112501

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.