ArticleScientific data2025
Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- The Expanding Landscape of ADP-Ribosylation: Protein, DNA, RNA, and Mitochondrial Regulation.Chemical research in toxicology · 2026Review
- A lysine-free REC tag system for proximity-biotinylation applications.Scientific reports · 2026Article
- PARPs and PARP inhibitors: molecular mechanisms and clinical applications.Molecular biomedicine · 2025Review
- Poly(ADP-ribose) polymerase-1 in breast cancers: expression level and its association in various molecular subtypes with a focus in Africa.Discover oncology · 2025Review
- Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
A comprehensive dataset detailing protein interactors for the PARP family has been generated using TurboID proximity labeling under standardized experimental conditions. V5-TurboID fusion constructs enabled identification of 6,314 high-confidence interacting proteins through mass spectrometry, capturing transient interactions undetectable by conventional methods. Parallel GFP-PARP localization experiments validated physiological subcellular distributions. The dataset reveals both shared and unique interactors across PARP members, with network analysis suggesting functional cooperativity and specialization. Functional annotation analyses were performed on representative PARP members to validate key biological processes. All raw proteomic data (PRIDE: PXD052745)
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Registered trials
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.