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体内线粒体钙的测量。

Measurements of mitochondrial calcium in vivo.

作者信息

Pozzan Tullio, Rudolf Rüdiger

机构信息

Department of Biomedical Sciences and CNR Institute of Neurosciences, University of Padua, Viale Giuseppe Colombo 3, Padua 35121, Italy.

出版信息

Biochim Biophys Acta. 2009 Nov;1787(11):1317-23. doi: 10.1016/j.bbabio.2008.11.012. Epub 2008 Dec 6.

DOI:10.1016/j.bbabio.2008.11.012
PMID:19100709
Abstract

Mitochondria play a pivotal role in intracellular Ca(2+) signalling by taking up and releasing the ion upon specific conditions. In order to do so, mitochondria depend on a number of factors, such as the mitochondrial membrane potential and spatio-temporal constraints. Whereas most of the basic principles underlying mitochondrial Ca(2+) handling have been successfully deciphered over the last 50 years using assays based on in vitro preparations of mitochondria or cultured cells, we have only just started to understand the actual physiological relevance of these processes in the whole animal. Recent advancements in imaging and genetically encoded sensor technologies have allowed us to visualise mitochondrial Ca(2+) transients in live mice. These studies used either two-photon microscopy or bioluminescence imaging of cameleon or aequorin-GFP Ca(2+) sensors, respectively. Both methods revealed a consistent picture of Ca(2+) uptake into mitochondria under physiological conditions even during very short-lasting elevations of cytosolic Ca(2+) levels. The big future challenge is to understand the functional impact of such Ca(2+) signals on the physiology of the observed tissue as well as of the whole organism. To that end, the development of multiparametric in vivo approaches will be mandatory.

摘要

线粒体在细胞内钙信号传导中起着关键作用,它能在特定条件下摄取和释放钙离子。为了实现这一点,线粒体依赖于多种因素,如线粒体膜电位和时空限制。尽管在过去50年里,利用基于线粒体体外制备物或培养细胞的实验,已经成功地破解了线粒体钙处理的大部分基本原理,但我们才刚刚开始了解这些过程在整个动物体内的实际生理相关性。成像技术和基因编码传感器技术的最新进展使我们能够在活体小鼠中观察线粒体钙瞬变。这些研究分别使用了双光子显微镜或对cameleon或水母发光蛋白-绿色荧光蛋白钙传感器进行生物发光成像。两种方法都揭示了在生理条件下,即使在细胞质钙水平非常短暂升高期间,钙离子摄入线粒体的一致情况。未来的重大挑战是了解这种钙信号对所观察组织以及整个生物体生理功能的影响。为此,必须开发多参数体内研究方法。

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