Evidence map›Paper›PMID 39863683›Full record

ArticleScientific reports2025

Temporal transcriptional profiling of host cells infected by a veterinary alphaherpesvirus using nanopore sequencing.

Dóra Tombácz, Zoltán Maróti, Péter Oláh, Ákos Dörmő, Gábor Gulyás, Tibor Kalmár, Zsolt Csabai, Zsolt Boldogkői

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  2. Article
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 Tombácz *Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Zoltán Maróti *Department of Pediatrics, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Péter Oláh *Department of Dermatology, Medical Faculty, University Hospital Duesseldorf, Heinrich- Heine University Duesseldorf, Duesseldorf, Germany.
Ákos DörmőDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Gábor GulyásDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Tibor KalmárDepartment of Pediatrics, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary.
Zsolt BoldogkőiDepartment of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, Szeged, 6720, Hungary. boldogkoi.zsolt@med.u-szeged.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our research, we performed temporal transcriptomic profiling of host cells infected with Equid alphaherpesvirus 1 (EHV-1) by utilizing direct cDNA sequencing based on nanopore MinION technology. The sequencing reads were harnessed for transcript quantification at various time points. Viral infection-induced differential gene expression was identified through the edgeR package. The identified genes were segmented into six groups based on their kinetic characteristics. The initial three clusters encompass immediate-early response genes, typically transcription factors and elements of antiviral signaling pathways. These genes were either upregulated (cluster 1) or downregulated (clusters 2 and 3) during the early infection phase. The remaining three clusters include late response genes. In these categories, it is challenging to determine whether changes in gene expression are directly connected to the viral infection or merely side effects of the infection. A study of gene associations using the STRINGDB software revealed several gene networks that might be directly impacted by the virus. We also explored whether gene co-expression could be a result of their collective regulation by upstream transcription factors using the Gene Regulatory Network database. Finally, our differential transcript usage (DTU) analysis identified a number of genes that exhibited altered proportions of transcript isoforms in comparison to non-infected cells. Thus, our analysis revealed that EHV-1 infection not only alters host gene expression but also leads to differential use of transcript isoforms, particularly splice variants.

Indexed as

Gene Expression ProfilingHerpesviridae InfectionsHerpesvirus 1, EquidHost-Pathogen InteractionsNanopore SequencingTranscriptomeAnimalsGene Regulatory NetworksHorses

Identifiers

PMID39863683
PMCPMC11762278

What Socratic holds

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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.