Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling

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 spectromet...

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Main Authors: Jiefu Zheng, Yawen Deng, Cong Fang, Shiyu Xiong, Xudong Zhu, Weijun Wu, Xinliang Chen, Wenjing Wu, Dong Yin, Kaishun Hu, Haiyan Yan
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04722-5
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author Jiefu Zheng
Yawen Deng
Cong Fang
Shiyu Xiong
Xudong Zhu
Weijun Wu
Xinliang Chen
Wenjing Wu
Dong Yin
Kaishun Hu
Haiyan Yan
author_facet Jiefu Zheng
Yawen Deng
Cong Fang
Shiyu Xiong
Xudong Zhu
Weijun Wu
Xinliang Chen
Wenjing Wu
Dong Yin
Kaishun Hu
Haiyan Yan
author_sort Jiefu Zheng
collection DOAJ
description 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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spelling doaj-art-120f61e346b84f2f9f7040c8486d2cde2025-08-20T02:59:19ZengNature PortfolioScientific Data2052-44632025-03-0112111110.1038/s41597-025-04722-5Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labelingJiefu Zheng0Yawen Deng1Cong Fang2Shiyu Xiong3Xudong Zhu4Weijun Wu5Xinliang Chen6Wenjing Wu7Dong Yin8Kaishun Hu9Haiyan Yan10Department of Clinical Laboratory, Shenshan Central Hospital, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityDepartment of Clinical Laboratory, Shenshan Central Hospital, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityDepartment of Clinical Laboratory, Shenshan Central Hospital, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityDepartment of Breast Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Clinical Laboratory, Shenshan Central Hospital, Sun Yat-sen Memorial Hospital, Sun Yat-sen UniversityAbstract 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.https://doi.org/10.1038/s41597-025-04722-5
spellingShingle Jiefu Zheng
Yawen Deng
Cong Fang
Shiyu Xiong
Xudong Zhu
Weijun Wu
Xinliang Chen
Wenjing Wu
Dong Yin
Kaishun Hu
Haiyan Yan
Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
Scientific Data
title Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
title_full Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
title_fullStr Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
title_full_unstemmed Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
title_short Comprehensive dataset of interactors for the entire PARP family using TurboID proximity labeling
title_sort comprehensive dataset of interactors for the entire parp family using turboid proximity labeling
url https://doi.org/10.1038/s41597-025-04722-5
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