Evidence map›Paper›PMID 40233049›Full record

ArticlePloS one2025

Mapping the temporal transcriptomic signature of a viral pathogen through CAGE and nanopore sequencing.

Dóra Tombácz, Balázs Kakuk, Gábor Torma, Ádám Fülöp, Ákos Dörmő, Gábor Gulyás, Zsolt Csabai, Zsolt Boldogkői

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Dóra TombáczDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Balázs KakukDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Gábor TormaDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Ádám FülöpDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Ákos DörmőDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Gábor GulyásDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Zsolt BoldogkőiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.ORCID 0000-0003-1184-7293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEquid alphaherpesvirus 1 (EHV-1), a veterinary pathogen belonging to the Varicellovirus genus, is responsible for significant economic losses in the global equine sector. This research involved timescale gene expression profiling and transcriptional reannotation of this herpesvirus.

methodsWe employed CAGE sequencing on the Illumina platform to determine transcript start sites, alongside long-read direct cDNA sequencing on Oxford Nanopore Technology platform to detect full-length viral transcripts. Samples were collected in triplicate at nine distinct stages of the viral lifecycle. We also applied protein synthesis inhibition to determine the immediate-early gene expression of the virus. Earlier data on native RNA sequencing was also utilized to validate the results. The sequencing data were processed using the LoRTIA and NAGATA software tools.

resultsThe time-course analysis of viral transcript expression using long-read dcDNA-Seq enabled the characterization of these transcripts based on their kinetic behavior throughout the replication cycle. Furthermore, the study involved a comprehensive reannotation of the EHV-1 transcriptome. CAGE analysis helped identify the transcription start sites and promoter regions, while direct cDNA sequencing provided a more accurate approach to capturing full-length transcripts and isoform diversity. Through an integrated approach, we identified and validated numerous novel transcripts, thereby refining the EHV-1 transcriptome annotation. These methods allowed for a more detailed and accurate mapping of the EHV-1 transcriptome, uncovering previously unknown transcripts and refining the existing annotations.

conclusionsThe shifting patterns in transcript isoforms and overlaps suggest a sophisticated regulatory network that enables EHV-1 to precisely modulate gene expression throughout its replication cycle. The presence of multiple isoforms per gene indicates that the virus can adapt to different stages of infection by producing a variety of transcripts. This likely enhances its genomic efficiency and allows it to respond more effectively to the host's environment.

Indexed as

Gene Expression ProfilingHerpesvirus 1, EquidNanopore SequencingTranscriptomeAnimalsGene Expression Regulation, ViralHorses

Identifiers

PMID40233049
PMCPMC11999163

What Socratic holds

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LicenceCC BY
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Registered trials

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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.