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Record W4415873316 · doi:10.1128/jvi.01407-25

ARGLU1 is a negative regulator of the adenoviral replicative cycle

2025· article· en· W4415873316 on OpenAlexafffund
Amit Koul, Lauren Fulham, Nikolas Akkerman, Drayson Graves, Esha Kaul, Khadija Khadija, Peter Pelka

Bibliographic record

VenueJournal of Virology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsRepressorPsychological repressionViral replicationAdenoviridaeRecombinant DNADNAPolymerasePromoterDNA damageGene

Abstract

fetched live from OpenAlex

ABSTRACT We have previously reported that human adenovirus E1A interacts with ARGLU1, a small disordered cellular protein. The consequences of this interaction for virus replication were unclear. E1A is the first protein produced during adenovirus infection. Via protein-protein interactions, E1A modifies the cellular environment to create optimal conditions for viral replication. To better understand the molecular mechanisms driving viral infection, we further investigated the functional consequences of the interaction between ARGLU1 and E1A. ARGLU1 interacts with E1A directly as determined by a GST-pulldown assay with recombinant proteins. Importantly, ARGLU1 was found to act as a transcriptional repressor when it was localized to viral promoters. Repression was driven by enhanced promoter-proximal RNA polymerase II pausing. Significantly, ARGLU1-induced repression of viral promoters is likely an unintended consequence of ARGLU1 binding to E1A, as a mutant of E1A ( dl 1102), unable to bind to ARGLU1, did not show reduced viral gene expression. Furthermore, ARGLU1 was found to colocalize with E1A in infected cell nuclei. Finally, the binding of E1A to ARGLU1 appears to reduce DNA damage repair in bleomycin-treated and adenovirus-infected cells, suggesting that E1A binding to ARGLU1 is important for DNA damage response inhibition. Overall, this study underscores the complexity of virus-host interactions and reveals a novel role for ARGLU1 during adenoviral infection. IMPORTANCE This study uncovers a novel antiviral role for ARGLU1, known for its involvement in splicing, transcriptional regulation, and DNA damage repair. Our study demonstrates that ARGLU1 functions as a viral restriction factor by reducing virus growth through the inhibition of viral gene expression and enhanced DNA damage response, leading to reduced viral growth. These findings not only highlight an important role for ARGLU1 in host antiviral mechanisms but also emphasize the utility of adenovirus as a tool to uncover critical cellular pathways.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.308
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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