糖酵解速率的高分辨率测量。

Frontiers in neuroenergetics Pub Date : 2010-09-15 eCollection Date: 2010-01-01 DOI:10.3389/fnene.2010.00026
Carla X Bittner, Anitsi Loaiza, Iván Ruminot, Valeria Larenas, Tamara Sotelo-Hitschfeld, Robin Gutiérrez, Alex Córdova, Rocío Valdebenito, Wolf B Frommer, L Felipe Barros
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引用次数: 127

摘要

糖酵解速率对生理活动、激素、应激、衰老和恶性转化很敏感。测量糖酵解速率的标准技术是基于放射性同位素的,不能分解单个细胞,而且时间分辨率很差,这些限制阻碍了对大脑和其他器官能量代谢的研究。本文介绍了一种新的方法,该方法利用最近开发的FRET葡萄糖纳米传感器,以高时间分辨率测量单细胞中的糖酵解速率。在培养的星形胶质细胞中,该方法首次表明,谷氨酸和K(+)的结合可以在几秒钟内激活糖酵解,支持星形胶质细胞在大脑神经代谢和神经血管偶联中的作用。还可以直接比较邻近的神经元和星形胶质细胞的代谢,为高分辨率表征大脑能量代谢铺平道路。在成纤维细胞、脂肪细胞、成肌细胞和肿瘤细胞中也测量了单细胞糖酵解率,显示未分化细胞的糖酵解率更高,细胞类型中代谢异质性显著。该方法应有利于单细胞水平组织代谢的研究,并易于适用于高通量分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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High resolution measurement of the glycolytic rate.

The glycolytic rate is sensitive to physiological activity, hormones, stress, aging, and malignant transformation. Standard techniques to measure the glycolytic rate are based on radioactive isotopes, are not able to resolve single cells and have poor temporal resolution, limitations that hamper the study of energy metabolism in the brain and other organs. A new method is described in this article, which makes use of a recently developed FRET glucose nanosensor to measure the rate of glycolysis in single cells with high temporal resolution. Used in cultured astrocytes, the method showed for the first time that glycolysis can be activated within seconds by a combination of glutamate and K(+), supporting a role for astrocytes in neurometabolic and neurovascular coupling in the brain. It was also possible to make a direct comparison of metabolism in neurons and astrocytes lying in close proximity, paving the way to a high-resolution characterization of brain energy metabolism. Single-cell glycolytic rates were also measured in fibroblasts, adipocytes, myoblasts, and tumor cells, showing higher rates for undifferentiated cells and significant metabolic heterogeneity within cell types. This method should facilitate the investigation of tissue metabolism at the single-cell level and is readily adaptable for high-throughput analysis.

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