Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Lab Chip. 2017 Mar 29;17(7):1250-1263. doi: 10.1039/c7lc00037e.
Cellular heterogeneity has been widely recognized but only recently have single cell tools become available that allow characterizing heterogeneity at the genomic and proteomic levels. We review the technological advances in microchip-based toolkits for single-cell functional proteomics. Each of these tools has distinct advantages and limitations, and a few have advanced toward being applied to address biological or clinical problems that traditional population-based methods fail to address. High-throughput single-cell proteomic assays generate high-dimensional data sets that contain new information and thus require developing new analytical frameworks to extract new biology. In this review article, we highlight a few biological and clinical applications in which microchip-based single-cell proteomic tools provide unique advantages. The examples include resolving functional heterogeneity and dynamics of immune cells, dissecting cell-cell interaction by creating a well-controlled on-chip microenvironment, capturing high-resolution snapshots of immune system functions in patients for better immunotherapy and elucidating phosphoprotein signaling networks in cancer cells for guiding effective molecularly targeted therapies.
细胞异质性已得到广泛认可,但直到最近才出现了单细胞工具,可以在基因组和蛋白质组水平上对异质性进行特征描述。我们回顾了基于微芯片的单细胞功能蛋白质组学工具包的技术进展。这些工具中的每一种都有其独特的优势和局限性,其中一些已经在解决传统基于群体的方法无法解决的生物学或临床问题方面取得了进展。高通量单细胞蛋白质组学检测方法生成了包含新信息的高维数据集,因此需要开发新的分析框架来提取新的生物学信息。在这篇综述文章中,我们重点介绍了基于微芯片的单细胞蛋白质组学工具在几个生物学和临床应用中提供的独特优势。这些例子包括解析免疫细胞的功能异质性和动力学,通过创建一个受良好控制的芯片微环境来剖析细胞间相互作用,捕捉患者免疫系统功能的高分辨率动态,从而实现更好的免疫治疗,以及阐明癌细胞中磷酸化蛋白信号网络,以指导有效的分子靶向治疗。