Department of Bio and Health Informatics, Technical University of Denmark, Copenhagen, Denmark.
Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
Cytometry A. 2019 Feb;95(2):156-172. doi: 10.1002/cyto.a.23621. Epub 2018 Oct 2.
Mass cytometry enables the measurement of up to 50 features on single cell. This has catalyzed a shift toward multidimensional data analysis methods, rather than the manual gating strategies as traditionally for in flow cytometry data. This shift means that data scientists are involved in the analysis process to an increasing degree. As the data is analyzed in a more unbiased fashion, where noisy or uninformative observations are not easily excluded, a deeper knowledge of the origin, noise, and modalities of the data is therefore needed to embark on useful data analysis. In this primer, we introduce the idiosyncrasies of mass cytometry data with a focus on the technical properties of how data generated with the CyTOF® system, and the characteristics of protein expression in the cells of the hematopoietic continuum, specifically targeted toward data scientists. We also provide a comprehensive online repository of scripts, tutorials, and example data. © 2018 International Society for Advancement of Cytometry.
质谱流式细胞术能够在单细胞上测量多达 50 种特征。这促使人们转向多维数据分析方法，而不是传统流式细胞术数据中的手动门控策略。这种转变意味着数据分析人员越来越多地参与到分析过程中。由于数据是以更加无偏的方式进行分析的，其中嘈杂或无用的观察结果不容易被排除，因此需要更深入地了解数据的来源、噪声和模态，以便进行有用的数据分析。在本入门指南中，我们将介绍质谱流式细胞术数据的特点，重点介绍 CyTOF®系统生成数据的技术特性，以及造血连续体中细胞内蛋白表达的特征，特别针对数据科学家。我们还提供了一个包含脚本、教程和示例数据的综合在线存储库。国际先进细胞技术协会，2018 年。
