Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 26 Qiuyue Rd, Pudong, Shanghai 201210, China.
Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 26 Qiuyue Rd, Pudong, Shanghai 201210, China; Department of Cell Biology, Harvard Medical School, 240 Longwood Ave., Boston, MA 02115, USA.
Cell Chem Biol. 2017 Jul 20;24(7):785-786. doi: 10.1016/j.chembiol.2017.07.006.
In a recent issue of Cell Systems, Forcina et al. (2017) developed a scalable time-lapse analysis of cell death kinetics (STACK) method and combined it with a "lag exponential death" model to quantitatively characterize the onset and rate of cell death. STACK provides a useful quantitative tool to determine how cell death kinetics may be modulated pharmacologically in cell culture systems.
在最近一期的《细胞系统》杂志上,福西纳等人(2017)开发了一种可扩展的细胞死亡动力学时间推移分析(STACK)方法,并将其与“滞后指数死亡”模型相结合,对细胞死亡的起始和速度进行定量描述。STACK 为确定细胞死亡动力学如何在细胞培养系统中通过药理学进行调节提供了一种有用的定量工具。