Systematic Quantification of Population Cell Death Kinetics in Mammalian Cells

These files and associated data are associated with the forthcoming publication by Forcina et al in Cell Systems. This work uses scalable time-lapse analysis of cell death kinetics (STACK) to profile cell death kinetic in U-2 OS osteosarcoma cells and T98G glioblastoma cells expressing nuclear-localized mKate2 and treated with 1,833 different bioactive compounds, including approved drugs, investigational anti-cancer agents and natural products, at a fixed concentration of 5 μM. The first file contains details about the 1,833-member bioactive compound library. The three subsequent files contain raw counts for live (mKate2+) and dead (SG+) cells from library-treated cells and control (DMSO)-treated populations. Computed lethal fraction scores are also shown. Each result file contains all raw data in the first tab, as well as a second tab with only those data that passed the quality control (QC) measures described in the Methods section of this work.

本数据集关联的文件与配套数据，均对应Forcina等人即将发表于《细胞系统（Cell Systems）》的研究论文。本研究采用可规模化细胞死亡动力学延时分析（scalable time-lapse analysis of cell death kinetics, STACK）技术，对表达核定位mKate2的U-2 OS骨肉瘤细胞与T98G胶质母细胞瘤细胞开展分析：以5 μM的固定浓度，使用1833种不同生物活性化合物（涵盖获批药物、在研抗癌制剂及天然产物）处理上述细胞。首个文件包含该1833组分生物活性化合物文库的详细信息。后续三份文件则包含经化合物文库处理组与溶剂对照（二甲基亚砜，dimethyl sulfoxide, DMSO）处理组的活细胞（mKate2阳性）与死细胞（SG阳性）的原始计数结果，同时附带已计算得到的细胞致死分数。每份结果文件的第一个工作表包含全部原始数据，第二个工作表则仅保留通过本研究方法部分所述质量控制（quality control, QC）标准的数据。