Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
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)<sup>29</sup> and processed interaction networks (figshare)<sup>50</sup> are publicly available. This comprehensive interactome atlas provides a valuable foundation for advancing our understanding of PARP-mediated regulatory mechanisms and supports therapeutic development.
Authors
- Cong Fang (ORCID: https://orcid.org/0000-0001-8835-0694)
- Xu‐Dong Zhu (ORCID: https://orcid.org/0000-0003-1859-3134)
- Kaishun Hu (ORCID: https://orcid.org/0000-0003-2157-6239)
- Jiefu Zheng (ORCID: https://orcid.org/0000-0002-8716-810X)
- Wenjing Wu
- Dong Yin
- Xinliang Chen (ORCID: https://orcid.org/0000-0002-2363-1310)
- Yawen Deng (ORCID: https://orcid.org/0000-0002-9704-4645)
- Haiyan Yan (ORCID: https://orcid.org/0009-0000-4778-7902)
- Weijun Wu
- Shiyu Xiong (ORCID: https://orcid.org/0000-0002-4006-7029)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1038/s41597-025-04722-5
- Citations
- 4
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 6.02