Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Analyst. 2019 Jan 28;144(3):794-807. doi: 10.1039/c8an01574k.
Mass-spectrometry based omics technologies - namely proteomics, metabolomics and lipidomics - have enabled the molecular level systems biology investigation of organisms in unprecedented detail. There has been increasing interest for gaining a thorough, functional understanding of the biological consequences associated with cellular heterogeneity in a wide variety of research areas such as developmental biology, precision medicine, cancer research and microbiome science. Recent advances in mass spectrometry (MS) instrumentation and sample handling strategies are quickly making comprehensive omics analyses of single cells feasible, but key breakthroughs are still required to push through remaining bottlenecks. In this review, we discuss the challenges faced by single cell MS-based omics analyses and highlight recent technological advances that collectively can contribute to comprehensive and high throughput omics analyses in single cells. We provide a vision of the potential of integrating pioneering technologies such as Structures for Lossless Ion Manipulations (SLIM) for improved sensitivity and resolution, novel peptide identification tactics and standards free metabolomics approaches for future applications in single cell analysis.
基于质谱的组学技术 - 即蛋白质组学、代谢组学和脂质组学 - 使人们能够以前所未有的细节水平对生物体进行分子水平的系统生物学研究。在许多研究领域，如发育生物学、精准医学、癌症研究和微生物组科学，人们越来越感兴趣的是全面、深入地了解与细胞异质性相关的生物学后果。质谱 (MS) 仪器和样品处理策略的最新进展使得对单细胞进行全面的组学分析成为可能，但仍需要关键的突破来克服剩余的瓶颈。在这篇综述中，我们讨论了单细胞 MS 组学分析所面临的挑战，并强调了最近的技术进展，这些进展共同有助于单细胞的全面和高通量组学分析。我们对整合开创性技术（如无损失离子操纵结构 (SLIM) 以提高灵敏度和分辨率、新型肽鉴定策略和无标准代谢组学方法）的潜力进行了展望，以促进单细胞分析的未来应用。
