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甲壳类动物神经肽时空动态的质谱分析

Mass spectrometric analysis of spatio-temporal dynamics of crustacean neuropeptides.

作者信息

OuYang Chuanzi, Liang Zhidan, Li Lingjun

机构信息

Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.

School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.

出版信息

Biochim Biophys Acta. 2015 Jul;1854(7):798-811. doi: 10.1016/j.bbapap.2014.10.023. Epub 2014 Nov 4.

Abstract

Neuropeptides represent one of the largest classes of signaling molecules used by nervous systems to regulate a wide range of physiological processes. Over the past several years, mass spectrometry (MS)-based strategies have revolutionized the discovery of neuropeptides in numerous model organisms, especially in decapod crustaceans. Here, we focus our discussion on recent advances in the use of MS-based techniques to map neuropeptides in the spatial domain and monitoring their dynamic changes in the temporal domain. These MS-enabled investigations provide valuable information about the distribution, secretion and potential function of neuropeptides with high molecular specificity and sensitivity. In situ MS imaging and in vivo microdialysis are highlighted as key technologies for probing spatio-temporal dynamics of neuropeptides in the crustacean nervous system. This review summarizes the latest advancement in MS-based methodologies for neuropeptide analysis including typical workflow and sample preparation strategies as well as major neuropeptide families discovered in decapod crustaceans. This article is part of a Special Issue entitled: Neuroproteomics: Applications in Neuroscience and Neurology.

摘要

神经肽是神经系统用于调节广泛生理过程的最大类信号分子之一。在过去几年中,基于质谱(MS)的策略彻底改变了在众多模式生物中,尤其是十足目甲壳类动物中神经肽的发现。在此,我们将讨论重点放在基于MS的技术在空间域绘制神经肽图谱以及监测其在时间域的动态变化方面的最新进展。这些基于MS的研究以高分子特异性和灵敏度提供了有关神经肽分布、分泌和潜在功能的有价值信息。原位MS成像和体内微透析被强调为探测甲壳类动物神经系统中神经肽时空动态的关键技术。本综述总结了基于MS的神经肽分析方法的最新进展,包括典型工作流程和样品制备策略,以及在十足目甲壳类动物中发现的主要神经肽家族。本文是名为:神经蛋白质组学:在神经科学和神经病学中的应用的特刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540c/4418951/7e319b14fbdc/nihms640427f1.jpg

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