Evidence map›Paper›PMID 39283124›Full record

ArticleJournal of virology2024

Distinct negative-sense RNA viruses induce a common set of transcripts encoding proteins forming an extensive network.

Nina Hofmann, Marek Bartkuhn, Stephan Becker, Nadine Biedenkopf, Eva Böttcher-Friebertshäuser, Karina Brinkrolf, Erik Dietzel, Sarah Katharina Fehling, Alexander Goesmann, Miriam Ruth Heindl and 17 more

Abstract read
In one paragraph

Article in Journal of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Nina HofmannBioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0001-8420-6281
Marek BartkuhnBiomedical Informatics and Systems Medicine Science Unit for Basic and Clinical Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0001-6872-9082
Stephan BeckerInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Nadine BiedenkopfInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.ORCID 0000-0002-6061-8019
Eva Böttcher-FriebertshäuserInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.ORCID 0000-0002-0007-8110
Karina BrinkrolfBioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0003-0253-0024
Erik DietzelInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Sarah Katharina FehlingInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Alexander GoesmannBioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen, Germany.
Miriam Ruth HeindlInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Simone HoffmannInstitute for Virology, FB10-Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0003-3690-2498
Nadja KarlInstitute of Medical Virology, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.
Andrea MaisnerInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Ahmed MostafaInstitute of Medical Virology, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.
Laura KorneckiInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Helena Müller-KräuterInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Christin Müller-RuttloffInstitute of Medical Virology, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-6444-9478
Andrea NistGenomics Core Facility, Institute of Molecular Oncology, Philipps University of Marburg, Marburg, Germany.
Stephan PleschkaInstitute of Medical Virology, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-7372-7089
Lucie SauerheringInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
Thorsten StieweInstitute of Molecular Oncology, Philipps University of Marburg, Marburg, Germany.
Thomas StreckerInstitute of Virology, Philipps-University Marburg, Hans-Meerwein-Straße, Marburg, Germany.ORCID 0000-0002-7857-937X
Jochen WilhelmInstitute for Lung Health (ILH), Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0001-5544-9647
Jennifer D WuerthInstitute for Virology, FB10-Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-3391-9633
John ZiebuhrInstitute of Medical Virology, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-5741-8825
Friedemann WeberInstitute for Virology, FB10-Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0001-9737-337X
M Lienhard SchmitzInstitute of Biochemistry, FB11-Medicine, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-6984-7192

Funding

Bundesministerium für Bildung und Forschung (BMBF) de.NBIDeutsche Forschungsgemeinschaft (DFG) 197785619-SFB 1021
6 · The paper itself

Abstract

The large group of negative-strand RNA viruses (NSVs) comprises many important pathogens. To identify conserved patterns in host responses, we systematically compared changes in the cellular RNA levels after infection of human hepatoma cells with nine different NSVs of different virulence degrees. RNA sequencing experiments indicated that the amount of viral RNA in host cells correlates with the number of differentially expressed host cell transcripts. Time-resolved differential gene expression analysis revealed a common set of 178 RNAs that are regulated by all NSVs analyzed. A newly developed open access web application allows downloads and visualizations of all gene expression comparisons for individual viruses over time or between several viruses. Most of the genes included in the core set of commonly differentially expressed genes (DEGs) encode proteins that serve as membrane receptors, signaling proteins and regulators of transcription. They mainly function in signal transduction and control immunity, metabolism, and cell survival. One hundred sixty-five of the DEGs encode host proteins from which 47 have already been linked to the regulation of viral infections in previous studies and 89 proteins form a complex interaction network that may function as a core hub to control NSV infections.IMPORTANCEThe infection of cells with negative-strand RNA viruses leads to the differential expression of many host cell RNAs. The differential spectrum of virus-regulated RNAs reflects a large variety of events including anti-viral responses, cell remodeling, and cell damage. Here, these virus-specific differences and similarities in the regulated RNAs were measured in a highly standardized model. A newly developed app allows interested scientists a wide range of comparisons and visualizations.

Indexed as

RNA, ViralCell Line, TumorGene Expression ProfilingGene Regulatory NetworksHost-Pathogen InteractionsHumansRNA VirusesRNA Virus InfectionsSequence Analysis, RNASignal TransductionRNA, Viralhost cell responseNSVprotein networkRNA-seqtranscription

Identifiers

PMID39283124
PMCPMC11494938

What OpenQuestion 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 OpenQuestion graph.