Computational Biology and Bioinformatics Unit, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Nat Methods. 2023 Mar;20(3):375-386. doi: 10.1038/s41592-023-01785-3. Epub 2023 Mar 2.
Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the results may be undermined by numerous factors affecting experimental design, sample preparation, data acquisition and data analysis. We expect that broadly accepted community guidelines and standardized metrics will enhance rigor, data quality and alignment between laboratories. Here we propose best practices, quality controls and data-reporting recommendations to assist in the broad adoption of reliable quantitative workflows for single-cell proteomics. Resources and discussion forums are available at https://single-cell.net/guidelines .
通过串联质谱（MS）分析单细胞中的蛋白质最近在技术上已经可行。虽然这种分析有可能在数千个单细胞中准确地定量数千种蛋白质，但实验设计、样品制备、数据采集和数据分析等多种因素可能会影响结果的准确性和可重复性。我们期望广泛接受的社区指南和标准化指标将增强严谨性、数据质量和实验室之间的一致性。在这里，我们提出了最佳实践、质量控制和数据报告建议，以协助广泛采用可靠的单细胞蛋白质组学定量工作流程。资源和讨论论坛可在 https://single-cell.net/guidelines 上获得。
