Suppr超能文献

功能单细胞蛋白质组学:技术与生物学应用

Functional Single-Cell Proteomics: Technology and Biological Applications.

作者信息

Su Pin-Rui, Chien Miao-Ping

机构信息

Department of Chemistry, National Taiwan University, Taipei, Taiwan.

Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.

出版信息

Methods Mol Biol. 2025;2902:145-159. doi: 10.1007/978-1-0716-4402-7_9.

Abstract

Single-cell proteomics has the potential to decipher tumor heterogeneity, and methods such as Single-Cell ProtEomics by Mass Spectrometry (SCoPE-MS) allow profiling of several tens of single cells for more than 1,000 proteins per cell. Our laboratory has advanced state-of-the-art single-cell proteomics technology to enable linking proteomes of individual cells with phenotypes of interest. Here, we describe a microscopy-based functional single-cell proteomic profiling technology, called FUNpro, designed for general use in cultured cell lines. FUNpro enables high-throughput, real-time live-cell screening, identification, and isolation of single cells of interest, even when the phenotypes are dynamic or the cells are rare. This chapter outlines a generalized protocol for functional single-cell proteomic profiling and analysis of a standard cancer cell line, including an overview of the microscopy, cell culture, image analysis, photolabeling of cells of interest, fluorescence-activated cell sorting (FACS), and the single-cell proteomics procedures and analyses employed.

摘要

单细胞蛋白质组学有潜力解析肿瘤异质性,诸如质谱法单细胞蛋白质组学(SCoPE-MS)等方法能够对数十个单细胞进行分析,每个细胞可检测1000多种蛋白质。我们实验室拥有先进的单细胞蛋白质组学技术,能够将单个细胞的蛋白质组与感兴趣的表型联系起来。在此,我们描述了一种基于显微镜的功能性单细胞蛋白质组分析技术,称为FUNpro,该技术设计用于培养细胞系的常规应用。FUNpro能够进行高通量、实时活细胞筛选、识别和分离感兴趣的单细胞,即使表型是动态的或细胞很稀少。本章概述了对标准癌细胞系进行功能性单细胞蛋白质组分析和研究的通用方案,包括显微镜检查、细胞培养、图像分析、感兴趣细胞的光标记、荧光激活细胞分选(FACS)以及所采用的单细胞蛋白质组学程序和分析的概述。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验