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介绍功能失调的蛋白质-蛋白质相互作用组(dfPPI) - 一种用于疾病中系统水平蛋白质-蛋白质相互作用(PPI)功能障碍研究的平台。

Introducing dysfunctional Protein-Protein Interactome (dfPPI) - A platform for systems-level protein-protein interaction (PPI) dysfunction investigation in disease.

机构信息

Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

Departments of Psychiatry, Neuroscience & Physiology & the NYU Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, 10016, USA; Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, 10962, USA.

出版信息

Curr Opin Struct Biol. 2024 Oct;88:102886. doi: 10.1016/j.sbi.2024.102886. Epub 2024 Jul 13.

Abstract

Protein-protein interactions (PPIs) play a crucial role in cellular function and disease manifestation, with dysfunctions in PPI networks providing a direct link between stressors and phenotype. The dysfunctional Protein-Protein Interactome (dfPPI) platform, formerly known as epichaperomics, is a newly developed chemoproteomic method aimed at detecting dynamic changes at the systems level in PPI networks under stressor-induced cellular perturbations within disease states. This review provides an overview of dfPPIs, emphasizing the novel methodology, data analytics, and applications in disease research. dfPPI has applications in cancer research, where it identifies dysfunctions integral to maintaining malignant phenotypes and discovers strategies to enhance the efficacy of current therapies. In neurodegenerative disorders, dfPPI uncovers critical dysfunctions in cellular processes and stressor-specific vulnerabilities. Challenges, including data complexity and the potential for integration with other omics datasets are discussed. The dfPPI platform is a potent tool for dissecting disease systems biology by directly informing on dysfunctions in PPI networks and holds promise for advancing disease identification and therapeutics.

摘要

蛋白质-蛋白质相互作用 (PPIs) 在细胞功能和疾病表现中起着至关重要的作用,PPI 网络的功能障碍为应激源和表型之间提供了直接联系。功能失调的蛋白质-蛋白质相互作用组 (dfPPI) 平台,以前称为表观组学,是一种新开发的化学蛋白质组学方法,旨在检测疾病状态下应激诱导的细胞扰动下 PPI 网络中系统水平的动态变化。本综述概述了 dfPPI,强调了新的方法学、数据分析和在疾病研究中的应用。dfPPI 在癌症研究中有应用,它可以识别维持恶性表型所必需的功能失调,并发现增强当前治疗效果的策略。在神经退行性疾病中,dfPPI 揭示了细胞过程中的关键功能失调和应激特异性脆弱性。讨论了包括数据复杂性和与其他组学数据集整合的潜力在内的挑战。dfPPI 平台是剖析疾病系统生物学的有力工具,通过直接告知 PPI 网络中的功能失调,为疾病的识别和治疗提供了新的途径。

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