Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Proteomics and Aging, Buck Institute for Research on Aging, Novato, CA, USA.
Expert Rev Proteomics. 2021 Sep;18(9):757-765. doi: 10.1080/14789450.2021.1976149. Epub 2021 Sep 15.
Proteins are highly dynamic and their biological function is controlled by not only temporal abundance changes but also via regulated protein-protein interaction networks, which respond to internal and external perturbations. A wealth of novel analytical reagents and workflows allow studying spatiotemporal protein environments with great granularity while maintaining high throughput and ease of analysis.
We review technology advances for measuring protein-protein proximity interactions with an emphasis on proximity labeling, and briefly summarize other spatiotemporal approaches including protein localization, and their dynamic changes over time, specifically in human cells and mammalian tissues. We focus especially on novel technologies and workflows emerging within the past 5 years. This includes enrichment-based techniques (proximity labeling and crosslinking), separation-based techniques (organelle fractionation and size exclusion chromatography), and finally sorting-based techniques (laser capture microdissection and mass spectrometry imaging).
Spatiotemporal proteomics is a key step in assessing biological complexity, understanding refined regulatory mechanisms, and forming protein complexes and networks. Studying protein dynamics across space and time holds promise for gaining deep insights into how protein networks may be perturbed during disease and aging processes, and offer potential avenues for therapeutic interventions, drug discovery, and biomarker development.
蛋白质具有高度动态性,其生物学功能不仅受到时间丰度变化的控制,还受到受调控的蛋白质-蛋白质相互作用网络的控制,这些网络会对外界和内部的干扰作出响应。大量新的分析试剂和工作流程允许以很高的通量和易于分析的方式,对时空蛋白质环境进行高分辨率研究。
我们综述了用于测量蛋白质-蛋白质邻近相互作用的技术进展,重点介绍了邻近标记技术,并简要总结了其他时空方法,包括蛋白质定位及其随时间的动态变化,特别是在人类细胞和哺乳动物组织中。我们特别关注过去 5 年内出现的新技术和工作流程。这包括基于富集的技术(邻近标记和交联)、基于分离的技术(细胞器分级分离和排阻色谱),以及基于分类的技术(激光捕获显微切割和质谱成像)。
时空蛋白质组学是评估生物复杂性、理解精细调控机制以及形成蛋白质复合物和网络的关键步骤。研究蛋白质在空间和时间上的动态变化有望深入了解蛋白质网络在疾病和衰老过程中可能受到的干扰,并为治疗干预、药物发现和生物标志物开发提供潜在途径。