CellCycleTRACER accounts for cell cycle and volume in mass cytometry data
CellCycleTRACER 解释质谱流式细胞术数据中的细胞周期和体积
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作者:Maria Anna Rapsomaniki, Xiao-Kang Lun, Stefan Woerner, Marco Laumanns, Bernd Bodenmiller, María Rodríguez Martínez
| 期刊: | Nature Communications | 影响因子: | 14.700 |
| 时间: | 2018 | 起止号: | 2018 Feb 12;9(1):632. |
| doi: | 10.1038/s41467-018-03005-5 | 研究方向: | 细胞生物学 |
| 细胞类型: | 其它细胞 | |
Abstract
Recent studies have shown that cell cycle and cell volume are confounding factors when studying biological phenomena in single cells. Here we present a combined experimental and computational method, CellCycleTRACER, to account for these factors in mass cytometry data. CellCycleTRACER is applied to mass cytometry data collected on three different cell types during a TNFα stimulation time-course. CellCycleTRACER reveals signaling relationships and cell heterogeneity that were otherwise masked.
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