论文标题

有关执行,基准测试和报告单细胞蛋白质组学实验的初步建议

Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments

论文作者

Gatto, Laurent, Aebersold, Ruedi, Cox, Juergen, Demichev, Vadim, Derks, Jason, Emmott, Edward, Franks, Alexander M., Ivanov, Alexander R., Kelly, Ryan T., Khoury, Luke, Leduc, Andrew, MacCoss, Michael J., Nemes, Peter, Perlman, David H., Petelski, Aleksandra A., Rose, Christopher M., Schoof, Erwin M., Van Eyk, Jennifer, Vanderaa, Christophe, Yates III, John R., Slavov, Nikolai

论文摘要

通过串联质谱法(MS)分析单个细胞中的蛋白质已经变得可行。尽管这种分析有可能准确地量化数千个单元细胞中数千种蛋白质,但结果可能会因影响实验设计,样本准备,数据采集和数据分析的许多因素而破坏结果的准确性和可重复性。广泛接受的社区准则和标准化指标将提高实验室之间的严格,数据质量和一致性。在这里,我们提出了最佳实践,质量控制和数据报告建议,以帮助广泛采用单细胞蛋白质组学的可靠定量工作流程。

Analyzing proteins from single cells by tandem mass spectrometry (MS) has 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. 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.

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