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多时间尺度下的代谢成像

Metabolic imaging in multiple time scales.

作者信息

Ramanujan V Krishnan

机构信息

Metabolic Photonics Laboratory, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Suite D6067, Los Angeles, CA 90048, USA; Department of Surgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA.

出版信息

Methods. 2014 Mar 15;66(2):222-9. doi: 10.1016/j.ymeth.2013.08.027. Epub 2013 Sep 4.

Abstract

We report here a novel combination of time-resolved imaging methods for probing mitochondrial metabolism in multiple time scales at the level of single cells. By exploiting a mitochondrial membrane potential reporter fluorescence we demonstrate the single cell metabolic dynamics in time scales ranging from microseconds to seconds to minutes in response to glucose metabolism and mitochondrial perturbations in real time. Our results show that in comparison with normal human mammary epithelial cells, the breast cancer cells display significant alterations in metabolic responses at all measured time scales by single cell kinetics, fluorescence recovery after photobleaching and by scaling analysis of time-series data obtained from mitochondrial fluorescence fluctuations. Furthermore scaling analysis of time-series data in living cells with distinct mitochondrial dysfunction also revealed significant metabolic differences thereby suggesting the broader applicability (e.g. in mitochondrial myopathies and other metabolic disorders) of the proposed strategies beyond the scope of cancer metabolism. We discuss the scope of these findings in the context of developing portable, real-time metabolic measurement systems that can find applications in preclinical and clinical diagnostics.

摘要

我们在此报告一种新型的时间分辨成像方法组合,用于在单细胞水平上在多个时间尺度探测线粒体代谢。通过利用线粒体膜电位报告荧光,我们实时展示了单细胞在从微秒到秒再到分钟的时间尺度上对葡萄糖代谢和线粒体扰动的代谢动态。我们的结果表明,与正常人乳腺上皮细胞相比,乳腺癌细胞在所有测量的时间尺度上,通过单细胞动力学、光漂白后荧光恢复以及对线粒体荧光波动获得的时间序列数据进行标度分析,其代谢反应都有显著改变。此外,对具有不同线粒体功能障碍的活细胞中的时间序列数据进行标度分析,也揭示了显著的代谢差异,从而表明所提出的策略在癌症代谢范围之外具有更广泛的适用性(例如在线粒体肌病和其他代谢紊乱中)。我们在开发可用于临床前和临床诊断的便携式实时代谢测量系统的背景下讨论了这些发现的范围。

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