Immunodynamics Group, Cancer and Inflammation Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Cytometry A. 2019 Oct;95(10):1075-1084. doi: 10.1002/cyto.a.23799. Epub 2019 May 31.
We present a new method to directly quantify the dynamics of differentiation of multiple cellular subsets in unperturbed mice. We combine a pulse-chase protocol of 5-iodo-2'-deoxyuridine (IdU) injections with subsequent analysis by mass cytometry (CyTOF) and mathematical modeling of the IdU dynamics. Measurements by CyTOF allow for a wide range of cells to be analyzed at once, due to the availability of a large staining panel without the complication of fluorescence spillover. These are also compatible with direct detection of integrated iodine signal, with minimal impact on immunophenotyping based on the surface markers. Mathematical modeling beyond a binary classification of surface marker abundance allows for a continuum of cellular states as the cells transition from one state to another. Thus, we present a complete and robust method for directly quantifying differentiation at the systemic level, allowing for system-wide comparisons between different mouse strains and/or experimental conditions. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
我们提出了一种新方法,可直接定量分析未受干扰的小鼠中多个细胞亚群的分化动态。我们将 5-碘-2'-脱氧尿苷 (IdU) 注射的脉冲追踪方案与质谱流式细胞术 (CyTOF) 分析和 IdU 动力学的数学建模相结合。CyTOF 的测量由于具有大量染色面板而可同时分析大量细胞,而不存在荧光串扰的复杂性。这些也与碘信号的直接检测兼容,基于表面标记的免疫表型分析的影响最小。超越表面标记丰度的二进制分类的数学建模允许细胞从一种状态过渡到另一种状态时存在连续的细胞状态。因此,我们提出了一种直接在系统水平上定量分化的完整而稳健的方法,允许在不同的小鼠品系和/或实验条件之间进行系统范围的比较。2019 年发表。本文是美国政府的工作,在美国属于公有领域。