From Vision to Reality: A Perspective on the Innovative and Collaborative Forces That Evolved Proximity Labeling.

IF 5.5 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Molecular & Cellular Proteomics Pub Date : 2025-09-01 Epub Date: 2025-08-05 DOI:10.1016/j.mcpro.2025.101045

Tess C Branon, Wei Qin, Namrata D Udeshi

引用次数: 0

Abstract

Proximity labeling coupled with mass spectrometry is a powerful method for studying living systems with high spatial and temporal resolution. This perspective aims to provide a history of how APEX- and TurboID-based proximity labeling technologies were developed through dedication, innovation, and, most importantly, collaboration. We share our candid guidance on how to execute a successful proximity labeling experiment and comments on future developments in this field.

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从愿景到现实：从创新和协作力量的角度看进化的接近标签。

近距离标记与质谱联用是研究高时空分辨率生命系统的有力方法。这个视角旨在提供APEX和基于turboid的接近标记技术是如何通过奉献、创新和最重要的协作来开发的历史。我们分享我们关于如何执行成功的接近标签实验的坦率指导，并对该领域的未来发展发表评论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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