Quantitative Neuroproteomics: Classical and Novel Tools for Studying Neural Differentiation and Function

被引:0
|
作者
Luca Colucci-D’Amato
Annarita Farina
Johannes P. C. Vissers
Angela Chambery
机构
[1] Seconda Università di Napoli,Dipartimento di Scienze della Vita
[2] Consiglio Nazionale delle Ricerche,Istituto di Genetica e Biofisica “A. Buzzati
[3] Geneva University,Traverso”
[4] Waters Corporation,Biomedical Proteomics Research Group, Department of Bioinformatics and Structural Biology, Faculty of Medicine
来源
Stem Cell Reviews and Reports | 2011年 / 7卷
关键词
Neuroproteomics; Neural differentiation; Mass spectrometry; 2DE (2D-PAGE); MALDI-TOF; LC-MS; Label-free; Isotopic labeling; Proteomic profiling; Neurodegeneration;
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学科分类号
摘要
Mechanisms underlying neural stem cell proliferation, differentiation and maturation play a critical role in the formation and wiring of neuronal connections. This process involves the activation of multiple serial events, which guide the undifferentiated cells to different lineages via distinctive developmental programs, forming neuronal circuits and thus shaping the adult nervous system. Furthermore, alterations within these strictly regulated pathways can lead to severe neurological and psychiatric diseases. In this framework, the investigation of the high dynamic protein expression changes and other factors affecting protein functions, for example post-translational modifications, the alterations of protein interaction networks, is of pivotal importance for the understanding of the molecular mechanisms responsible for cell differentiation. More recently, proteomic studies in neuroscience (“neuroproteomics”) are receiving increased interest for the primary understanding of the regulatory networks underlying neuronal differentiation processes. Besides the classical two-dimensional-based proteomic strategies, the emerging platforms for LC-MS shotgun proteomic analysis hold great promise in unraveling the molecular basis of neural stem cell differentiation. In this review, recent advancements in label-free LC-MS quantitative neuroproteomics are highlighted as a new tool for the study of neural differentiation and functions, in comparison to mass spectrometry-based labeling approaches. The more commonly used protein profiling strategies and model systems for the analysis of neural differentiation are also discussed, along with the challenging proteomic approaches aimed to analyze the nervous system-specific organelles, the neural cells secretome and the specific protein interaction networks.
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页码:77 / 93
页数:16
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