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脑脂质组学的挑战。

The challenge of brain lipidomics.

作者信息

Piomelli Daniele

机构信息

Department of Pharmacology, Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA 92697-4625, USA.

出版信息

Prostaglandins Other Lipid Mediat. 2005 Sep;77(1-4):23-34. doi: 10.1016/j.prostaglandins.2004.09.006.

Abstract

After many years backstage, lipids have made a come back in the limelight of neuroscience. This renewed excitement was sparked by a series of convergent discoveries in the fields of neural development, synaptic physiology and receptor pharmacology, which have begun to reveal the roles played by lipid messengers and their receptors in brain function. Such roles extend from the development of the neocortex to the processing of complex behaviors, encompassing a territory as vast as those traditionally assigned to growth factors, neurotransmitters and neuropeptides. Along with these basic discoveries, technical advances have simplified the identification and quantification of neural lipids, achieving a degree of sensitivity and selectivity that was unthinkable only 10 years ago. Thanks to this progress, we can now resolve complex mixtures of lipid molecules and quantify each of their components, which are often present in tissues at vanishingly low concentrations. In this review, I outline several key features of brain lipid signaling and discuss the opportunities and challenges that such features impose on future lipidomic approaches.

摘要

在幕后沉寂多年后,脂质再度成为神经科学领域的焦点。神经发育、突触生理学和受体药理学领域的一系列趋同发现引发了这种新的热潮,这些发现开始揭示脂质信使及其受体在脑功能中所起的作用。这些作用从新皮质的发育延伸到复杂行为的处理,涵盖了与传统上归因于生长因子、神经递质和神经肽的领域一样广阔的范围。伴随着这些基础发现,技术进步简化了神经脂质的鉴定和定量,达到了仅在10年前还无法想象的灵敏度和选择性。得益于这一进展,我们现在能够解析脂质分子的复杂混合物并对其每个成分进行定量,这些成分在组织中的浓度往往极低。在这篇综述中,我概述了脑脂质信号传导的几个关键特征,并讨论了这些特征给未来脂质组学方法带来的机遇和挑战。

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