Evidence map›Paper›PMID 41791864›Full record

ReviewGenes & development2026

Structure, function, regulation, evolution, and therapeutic implications of PARP14.

Pulak Kar, Nina Đukić, Dragana Ahel, Ivan Ahel

Abstract readReview
In one paragraph

Review in Genes & development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Pulak KarDepartment of Biological Sciences, Sri Ramaswamy Memorial University-Andhra Pradesh, Amaravati 522240, India; ivan.ahel@path.ox.ac.uk pulak.k@srmap.edu.in.
Nina ĐukićSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.
Dragana AhelSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.
Ivan AhelSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom ivan.ahel@path.ox.ac.uk pulak.k@srmap.edu.in.

Funding

Biotechnology and Biological Sciences Research Council BB/R007195/1Biotechnology and Biological Sciences Research Council BB/W016613/1Cancer Research UK C35050/A22284Wellcome Trust 223107Wellcome Trust 302632
6 · The paper itself

Abstract

ADP-ribosylation (ADPr) is a posttranslational modification conserved across all domains of life that regulates a wide variety of processes. Among ADP-ribosyl transferases (ARTs) in humans, PARP14 has emerged as a key regulator involved in antiviral defense, inflammation, and DNA damage response. Recent studies have uncovered its dynamic and versatile roles in modulating DNA replication stress and DNA repair, positioning it at the intersection of genomic stability and immune regulation. Despite growing insights into its molecular functions, many aspects of PARP14-mediated signaling remain elusive. In this perspective, we explore the fundamental and emerging biological features of PARP14, highlighting its structure, function, evolution, and roles in cellular homeostasis and disease. Additionally, we discuss recent advances in targeting PARP14 for therapeutic intervention, particularly in oncology and immunology. A deeper mechanistic understanding of PARP14 function may inform the development of novel therapeutic strategies that exploit its regulatory network for clinical benefit.

Indexed as

Evolution, MolecularPoly(ADP-ribose) PolymerasesADP-RibosylationAnimalsDNA DamageDNA RepairHumansSignal TransductionPARP14 protein, humanPoly(ADP-ribose) PolymerasesADP-ribosylationDNA damageinfectioninterferon signalingPARPubiquitin

Identifiers

PMID41791864
PMCPMC13224862

What OpenQuestion holds

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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.