Real‐time visualization and quantitation of cell death and cell cycle progression in 2D and 3D cultures utilizing genetically encoded probes

程序性细胞死亡 细胞周期 细胞生物学 细胞 活体细胞成像 高含量筛选 细胞培养 药物发现 费斯特共振能量转移 生物 细胞生长 癌细胞 细胞凋亡 癌症 荧光 生物信息学 生物化学 遗传学 量子力学 物理
作者
Shankara Narayanan Varadarajan,Krupa Ann Mathew,Aneesh Chandrasekharan,Santhik Subhasingh Lupitha,Asha Lekshmi,Minsa Mini,Pramod Darvin,T.R. Santhoshkumar
出处
期刊:Journal of Cellular Biochemistry [Wiley]
卷期号:123 (4): 782-797 被引量:3
标识
DOI:10.1002/jcb.30222
摘要

Cancer cells grown as 3D-structures are better models for mimicking in vivo conditions than the 2D-culture systems employable in drug discovery applications. Cell cycle and cell death are important determinants for preclinical drug screening and tumor growth studies in laboratory conditions. Though several 3D-models and live-cell compatible approaches are available, a method for simultaneous real-time detection of cell cycle and cell death is required. Here we demonstrate a high-throughput adaptable method using genetically encoded fluorescent probes for the real-time quantitative detection of cell death and cell cycle. The cell-cycle indicator cdt1-Kusabira orange (KO) is stably integrated into cancer cells and further transfected with the Fluorescence Resonance Energy Transfer-based ECFP-DEVD-EYFP caspase activation sensor. The nuclear cdt1-KO expression serves as the readout for cell-cycle, and caspase activation is visualized by ECFP/EYFP ratiometric imaging. The image-based platform allowed imaging of growing spheres for prolonged periods in 3D-culture with excellent single-cell resolution through confocal microscopy. High-throughput screening (HTS) adaptation was achieved by targeting the caspase-sensor at the nucleus, which enabled the quantitation of cell death in 3D-models. The HTS using limited compound libraries, identified two lead compounds that induced caspase-activation both in 2D and 3D-cultures. This is the first report of an approach for noninvasive stain-free quantitative imaging of cell death and cell cycle with potential drug discovery applications.
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