Li Siqi, Li Shuwei, Liu Siqi, Ren Yan
HIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China.
BGI-Shenzhen, Shenzhen 518083, China.
Genomics Proteomics Bioinformatics. 2025 Feb 22. doi: 10.1093/gpbjnl/qzaf012.
Mass spectrometry-based single cell proteomics (MS-SCP) is attracting tremendous attention because it is now technically feasible to quantify thousands of proteins in minute samples. Since protein amplification is still not possible, technological improvements in MS-SCP focus on minimizing sample loss and increasing throughput, resolution, and sensitivity, as well as achieving the measurement depth, accuracy, and stability as bulk samples. Major advances in MS-SCP have facilitated its use in biological and even medical applications. Here, we review the key advancements in MS-SCP technology and discuss the strategies of the classic proteomics workflow to improve MS-SCP analysis from single cell isolation, sample preparation and liquid chromatography separation to MS data acquisition and analysis. The review will provide an overall understanding of the development and application of MS-SCP and inspire more novel ideas regarding the innovation of MS-SCP technology.
基于质谱的单细胞蛋白质组学（MS-SCP）正吸引着极大的关注，因为现在在微量样本中对数千种蛋白质进行定量在技术上是可行的。由于蛋白质扩增仍然无法实现，MS-SCP的技术改进集中在尽量减少样本损失、提高通量、分辨率和灵敏度，以及实现与大量样本相同的测量深度、准确性和稳定性。MS-SCP的重大进展推动了其在生物学乃至医学应用中的使用。在这里，我们回顾了MS-SCP技术的关键进展，并讨论了经典蛋白质组学工作流程的策略，以改进从单细胞分离、样本制备、液相色谱分离到MS数据采集和分析的MS-SCP分析。本综述将提供对MS-SCP发展和应用的全面理解，并激发有关MS-SCP技术创新的更多新颖想法。
