基于质谱的蛋白质相互作用组研究进展。

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2025-01-01 Epub Date: 2024-11-27 DOI:10.1016/j.mcpro.2024.100887
Shaowen Wu, Sheng Zhang, Chun-Ming Liu, Alisdair R Fernie, Shijuan Yan
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引用次数: 0

摘要

所有生物过程的基础是蛋白质与细胞中其他分子相互作用的各种动态网络,称为相互作用组。了解相互作用组对于阐明分子机制至关重要,但一直是一个长期的挑战。最近基于质谱(MS)技术的发展,包括亲和纯化、接近标记、交联和共分离质谱(MS),大大提高了我们研究相互作用组的能力。他们通过鉴定和量化蛋白质相互作用来实现这一目标,从而对蛋白质组织和功能产生深刻的见解。本文综述了基于质谱的相互作用组学的最新进展,重点介绍了捕获蛋白质-蛋白质、蛋白质-代谢物和蛋白质-核酸相互作用的技术的发展。此外,我们讨论了如何将基于质谱的综合方法应用于不同的生物样品,重点是利用我们对细胞功能的理解的重大发现。最后,我们强调了用于相互作用组预测和复杂建模的最先进的生物信息学方法,以及将实验相互作用组数据与计算方法相结合的策略,从而增强了基于质谱的技术识别蛋白质相互作用组的能力。事实上,质谱技术的进步及其与计算生物学的结合为相互作用组研究提供了新的方向和途径,为控制活细胞分子结构的机制提供了新的见解,从而提高了我们对生物过程的理解。
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Recent Advances in Mass Spectrometry-Based Protein Interactome Studies.

The foundation of all biological processes is the network of diverse and dynamic protein interactions with other molecules in cells known as the interactome. Understanding the interactome is crucial for elucidating molecular mechanisms but has been a longstanding challenge. Recent developments in mass spectrometry (MS)-based techniques, including affinity purification, proximity labeling, cross-linking, and co-fractionation mass spectrometry (MS), have significantly enhanced our abilities to study the interactome. They do so by identifying and quantifying protein interactions yielding profound insights into protein organizations and functions. This review summarizes recent advances in MS-based interactomics, focusing on the development of techniques that capture protein-protein, protein-metabolite, and protein-nucleic acid interactions. Additionally, we discuss how integrated MS-based approaches have been applied to diverse biological samples, focusing on significant discoveries that have leveraged our understanding of cellular functions. Finally, we highlight state-of-the-art bioinformatic approaches for predictions of interactome and complex modeling, as well as strategies for combining experimental interactome data with computation methods, thereby enhancing the ability of MS-based techniques to identify protein interactomes. Indeed, advances in MS technologies and their integrations with computational biology provide new directions and avenues for interactome research, leveraging new insights into mechanisms that govern the molecular architecture of living cells and, thereby, our comprehension of biological processes.

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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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