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作 者:冯然 刘峰 吴苏 李若菲 松阳洲 FENG Ran;LIU Feng;WU Su;LI RuoFei;SONGYANG Zhou(School of Life Sciences,Sun Yat-sen University,Guangzhou 510275,China;Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou 510120,China)
机构地区:[1]中山大学生命科学学院,广州510275 [2]中山大学孙逸仙纪念医院,广州510120
出 处:《中国科学:生命科学》2024年第9期1603-1613,共11页Scientia Sinica(Vitae)
摘 要:细胞内的生物活动复杂且动态,依靠蛋白质之间相互作用形成的动态网络完成细胞内与细胞间的信息传递和交流.因此,研究蛋白质相互作用对于揭示蛋白质的功能尤为重要.本团队在蛋白互作研究领域深耕多年,先后开发并利用多种蛋白系统性互作研究技术对细胞和生命体内的重要蛋白网络进行功能解析和机制探索,主要研究集中在端粒稳态及调控、基因组损伤修复及细胞内重要信号通路调控机制等方面.本文首先阐述了目前常用的蛋白质相互作用技术及其特征,随后以本课题组主要研究成果为例说明这些技术如何推动生物学相关研究领域的发展;最后总结了人工智能技术对于本领域的促进作用,以及蛋白互作领域未来的发展方向.本综述旨在展现蛋白质相互作用技术的开发如何促进功能基因组学研究的深入发展,以及用实例展现科技人员一如既往坚持科技创新的重要意义.Cellular activities are complex and robust processes that rely on dynamic networks formed by protein-protein interactions(PPIs)for intra-and intercellular signaling and communication.The study of PPIs is,therefore,crucial for understanding protein functions and cell signaling.For the last 30 years,our team has been devoted to developing and employing various PPI techniques to systematically dissect and explore the components and mechanisms of crucial protein networks in human cells.Our primary research focuses on crucial intracellular signaling pathways,including regulatory mechanisms of telomere homeostasis,genome damage repair,and stem cell self-renewal.This review begins by elucidating commonly used PPI tools and their characteristics.Subsequently,it exemplifies how these techniques have propelled advances in biological research using key research findings from our group as an example.Finally,it outlines the potential role of artificial intelligence in advancing this field and future directions in PPI research.This comprehensive review aims to demonstrate how the development of PPI technologies promotes functional genomics research and underscores the significance of technological innovation in biology.
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