Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, United States.
Barnett Institute, Northeastern University, Boston, Massachusetts 02115, United States.
J Proteome Res. 2021 Nov 5;20(11):4915-4918. doi: 10.1021/acs.jproteome.1c00639. Epub 2021 Oct 1.
Current single-cell mass spectrometry (MS) methods can quantify thousands of peptides per single cell while detecting peptide-like features that may support the quantification of 10-fold more peptides. This 10-fold gain might be attained by innovations in data acquisition and interpretation even while using existing instrumentation. This perspective discusses possible directions for such innovations with the aim to stimulate community efforts for increasing the coverage and quantitative accuracy of single proteomics while simultaneously decreasing missing data. Parallel improvements in instrumentation, sample preparation, and peptide separation will afford additional gains. Together, these synergistic routes for innovation project a rapid growth in the capabilities of MS based single-cell protein analysis. These gains will directly empower applications of single-cell proteomics to biomedical research.
目前的单细胞质谱 (MS) 方法可以对每个单细胞进行数千种肽的定量分析,同时检测到可能支持对 10 倍以上肽进行定量的肽样特征。这种 10 倍的增益可能通过数据采集和解释方面的创新来实现,即使在使用现有仪器的情况下也是如此。本观点讨论了此类创新的可能方向,旨在激发社区努力,提高单细胞蛋白质组学的覆盖范围和定量准确性,同时减少数据缺失。仪器设备、样品制备和肽分离方面的平行改进将提供额外的收益。这些协同创新途径将使基于 MS 的单细胞蛋白质分析的能力迅速提高。这些收益将直接为单细胞蛋白质组学在生物医学研究中的应用提供支持。