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Updated: May 23, 2025

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks
Published on: May 17, 2020
Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
Jiefu Zheng1, Yawen Deng1,2, Cong Fang1
1Department of Clinical Laboratory, Shenshan Central Hospital, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516600, China.
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)29 and processed interaction networks (figshare)50 are publicly available. This comprehensive interactome atlas provides a valuable foundation for advancing our understanding of PARP-mediated regulatory mechanisms and supports therapeutic development.
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