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本文引用的文献

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An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.一种将肽的串联质谱数据与蛋白质数据库中氨基酸序列相关联的方法。
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Metal oxide-based enrichment combined with gas-phase ion-electron reactions for improved mass spectrometric characterization of protein phosphorylation.基于金属氧化物的富集与气相离子-电子反应相结合,用于改进蛋白质磷酸化的质谱表征。
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基于质谱的蛋白质组学和肽组学在神经退行性疾病生物标志物发现中的应用

Mass spectrometry-based proteomics and peptidomics for biomarker discovery in neurodegenerative diseases.

作者信息

Wei Xin, Li Lingjun

机构信息

Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53705, USA.

出版信息

Int J Clin Exp Pathol. 2009;2(2):132-48. Epub 2008 Jun 20.

PMID:19079648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2583631/
Abstract

There is an urgent need to search for biomarkers that are indicative of neurodegenerative diseases, as the clinical diagnosis of which remains unsatisfactory. Mass spectrometry (MS) has been playing an important role in studying peptide and protein identities, structures, modifications and interactions that collectively drive their biological functions. MS-based proteomics technology is thus well suited for the biomarker discovery. This article reviews the overall strategies and workflows employed for biomarker discovery and recent applications of MS-based proteomics in neurodegenerative diseases. Special emphasis is placed on the studies of protein post-translational modification pattern changes and differential peptidomics under these pathological conditions.

摘要

由于神经退行性疾病的临床诊断仍不尽人意,因此迫切需要寻找能够指示这些疾病的生物标志物。质谱(MS)在研究共同驱动其生物学功能的肽和蛋白质的身份、结构、修饰及相互作用方面一直发挥着重要作用。基于质谱的蛋白质组学技术因此非常适合用于生物标志物的发现。本文综述了用于生物标志物发现的总体策略和工作流程,以及基于质谱的蛋白质组学在神经退行性疾病中的最新应用。特别强调了在这些病理条件下蛋白质翻译后修饰模式变化和差异肽组学的研究。