Recent advances in quantitative neuroproteomics.
Recent advances in quantitative neuroproteomics.
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DOI：
10.1016/j.ymeth.2013.04.008
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发表时间：
2013-06-15
期刊：
影响因子：
4.8
通讯作者：
Nairn, Angus C.
中科院分区：
文献类型：
--
作者：
Craft, George E.;Chen, Anshu;Nairn, Angus C.
关键词：
蛋白质组学领域正在许多不同领域中经历快速发展，包括质谱平台、肽鉴定算法和生物信息学的改进。特别地，新的和/或改进的方法已经建立了稳健的方法，其不仅允许深入和准确的肽和蛋白质鉴定和修饰，而且允许相对或绝对定量的灵敏测量。这些方法开始应用于神经蛋白质组学领域，但中枢神经系统在定量蛋白质组学方面提出了许多具体的挑战，因为大量不同的神经元细胞类型相互混合，并表现出不同的基因和蛋白质表达模式。本文综述了近年来在定量神经蛋白质组学方面取得的进展，重点介绍了过去五年来发表的工作，这些工作将新兴方法应用于正常脑功能以及各种神经精神疾病，包括精神分裂症和药物成瘾以及神经退行性疾病，包括帕金森病和阿尔茨海默病。虽然较旧的方法，如二维聚丙烯酰胺电泳继续使用，各种更深入的MS为基础的方法，包括标签（ICAT，iTRAQ，TMT，SILAC，SILAM），无标签（无标签，MRM，SWATH）和绝对定量方法，正在迅速应用于正常和患病脑组织以及脑脊液（CSF）的神经生物学研究。虽然许多这些研究的生物学意义仍有待明确确定，但显然需要使实验设计和数据分析标准化，并且分析中枢神经系统中特定神经元细胞类型的蛋白质变化仍然是一项严峻的挑战，最近的定量蛋白质组学研究的质量和深度似乎开始揭示神经科学的许多方面，正常脑功能以及神经精神和神经变性疾病中发生的蛋白质表达和调节的变化。
The field of proteomics is undergoing rapid development in a number of different areas including improvements in mass spectrometric platforms, peptide identification algorithms and bioinformatics. In particular, new and/or improved approaches have established robust methods that not only allow for in-depth and accurate peptide and protein identification and modification, but also allow for sensitive measurement of relative or absolute quantitation. These methods are beginning to be applied to the area of neuroproteomics, but the central nervous system poses many specific challenges in terms of quantitative proteomics, given the large number of different neuronal cell types that are intermixed and that exhibit distinct patterns of gene and protein expression. This review highlights the recent advances that have been made in quantitative neuroproteomics, with a focus on work published over the last five years that applies emerging methods to normal brain function as well as to various neuropsychiatric disorders including schizophrenia and drug addiction as well as of neurodegenerative diseases including Parkinson’s disease and Alzheimer’s disease. While older methods such as two-dimensional polyacrylamide electrophoresis continued to be used, a variety of more in-depth MS-based approaches including both label (ICAT, iTRAQ, TMT, SILAC, SILAM), label-free (label-free, MRM, SWATH) and absolute quantification methods, are rapidly being applied to neurobiological investigations of normal and diseased brain tissue as well as of cerebrospinal fluid (CSF). While the biological implications of many of these studies remain to be clearly established, that there is a clear need for standardization of experimental design and data analysis, and that the analysis of protein changes in specific neuronal cell types in the central nervous system remains a serious challenge, it appears that the quality and depth of the more recent quantitative proteomics studies is beginning to shed light on a number of aspects of neuroscience that relates to normal brain function as well as of the changes in protein expression and regulation that occurs in neuropsychiatric and neurodegenerative disorders.
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影响因子：
3.4
作者：
Bousquet-Dubouch, Marie-Pierre;Nguen, Sheila;Bouyssie, David;Burlet-Schiltz, Odile;French, Samuel W.;Monsarrat, Bernard;Bardag-Gorce, Fawzia
通讯作者：
Bardag-Gorce, Fawzia
DOI：
10.1124/jpet.105.091520
发表时间：
2006-08-01
影响因子：
3.5
作者：
Abul-Husn, Noura S.;Devi, Lakshmi A.
通讯作者：
Devi, Lakshmi A.
蛋白质磷酸酶和阿尔茨海默氏病。
DOI：
10.1016/b978-0-12-396456-4.00012-2
发表时间：
2012
影响因子：
--
作者：
Braithwaite, Steven P.;Stock, Jeffry B.;Lombroso, Paul J.;Nairn, Angus C.
通讯作者：
Nairn, Angus C.
影响因子：
25
作者：
Bateup, Helen S.;Svenningsson, Per;Kuroiwa, Mahomi;Gong, Shiaoching;Nishi, Akinori;Heintz, Nathaniel;Greengard, Paul
通讯作者：
Greengard, Paul
影响因子：
3.7
作者：
Bark SJ;Wegrzyn J;Taupenot L;Ziegler M;O'Connor DT;Ma Q;Smoot M;Ideker T;Hook V
通讯作者：
Hook V