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DbPTM 2025 update: Comprehensive integration of PTMs and proteomic data for advanced insights into cancer research

  • Chia Ru Chung
  • , Yun Tang
  • , Yen Peng Chiu
  • , Shangfu Li
  • , Wen Kai Hsieh
  • , Lantian Yao
  • , YING CHIH CHIANG
  • , Yuxuan Pang
  • , Guan Ting Chen
  • , Kai Chen Chou
  • , You Sheng Paik
  • , Phuong Lam Tran
  • , Cheng Pei Lin
  • , Yu Min Kao
  • , Yi Jie Chen
  • , Wen Chi Chang
  • , Justin Bo Kai Hsu*
  • , Jorng Tzong Horng*
  • , Tzong Yi Lee*
  • *此作品的通信作者

研究成果: Article › 同行評審

42 引文 斯高帕斯(Scopus)

摘要

Post-translational modifications (PTMs) are essential for modulating protein function and influencing stability, activity and signaling processes. The dbPTM 2025 update significantly expands the database to include over 2.79 million PTM sites, of which 2.243 million are experimentally validated from 48 databases and over 80 000 research articles. This version integrates proteomic data from 13 cancer types, with a particular focus on phosphoproteomic data and kinase activity profiles, allowing the exploration of personalized phosphorylation patterns in tumor samples. Integrating kinase-substrate phosphorylations with E3 ligase-substrate interactions, dbPTM 2025 provides a detailed map of PTM regulatory networks, offering insights into cancer-specific post-translational regulations. This update also includes advanced search capabilities, enabling users to efficiently query PTM data across species, PTM types and modified residues. The platform's new features - interactive visualization tools and streamlined data downloads - allow researchers to access and analyze PTM data easily. dbPTM 2025 also enhances functional annotations, regulatory networks and disease associations, broadening its application for cancer research and the study of disease-associated PTMs. Through these enhancements, dbPTM 2025 is a comprehensive, user-friendly resource, facilitating the study of PTMs and their roles in cancer research. The database is now freely accessible at https://biomics.lab.nycu.edu.tw/dbPTM/.

原文English
頁(從 - 到)D377-D386
期刊Nucleic acids research
卷53
發行號D1
DOIs
出版狀態Published - 6 1月 2025

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG 3 - 良好的健康和福祉
    SDG 3 良好的健康和福祉

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