Cell death goes LIVE: technological advances in real-time tracking of cell death.
Cell death goes LIVE: technological advances in real-time tracking of cell death.
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DOI：
10.4161/cc.9.12.11911
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发表时间：
2010-06-15
期刊：
影响因子：
--
通讯作者：
Wlodkowic D
中科院分区：
文献类型：
--
作者：
Skommer J;Darzynkiewicz Z;Wlodkowic D
细胞群可以被视为一个量子系统，就像Schrödinger的猫一样，存在于允许生存和允许死亡的状态的组合中。跟踪和理解高时空复杂性过程中的细胞间变异，如细胞死亡，是当前系统生物学方法的核心。由于概率建模工具试图推断当前实验方法无法获得的信息，单细胞成像和组学（蛋白质组学、基因组学、代谢组学）技术的进步应该与计算工作齐头并进。在过去的几年里，我们已经取得了令人兴奋的技术进步，可以实时动态地研究细胞死亡，并且具有前所未有的准确性。这些方法是基于创新的荧光分析和重组蛋白，细胞的生物电特性，以及最近的最先进的光谱学。在这里，我们回顾了目前最具创新性的细胞死亡动态跟踪分析技术的现状，并讨论了这些方法的跨学科承诺和未来的挑战。
Cell population can be viewed as a quantum system, which like Schrödinger’s cat exists as a combination of survival- and death-allowing states. Tracking and understanding cell-to-cell variability in processes of high spatio-temporal complexity such as cell death is at the core of current systems biology approaches. As probabilistic modeling tools attempt to impute information inaccessible by current experimental approaches, advances in technologies for single-cell imaging and omics (proteomics, genomics, metabolomics) should go hand in hand with the computational efforts. Over the last few years we have made exciting technological advances that allow studies of cell death dynamically in real-time and with the unprecedented accuracy. These approaches are based on innovative fluorescent assays and recombinant proteins, bioelectrical properties of cells, and more recently also on state-of-the-art optical spectroscopy. Here, we review current status of the most innovative analytical technologies for dynamic tracking of cell death, and address the interdisciplinary promises and future challenges of these methods.
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