Advances in Current Diabetes Proteomics: From the Perspectives of Label- free Quantification and Biomarker Selection | Bentham Science
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Review Article

当前糖尿病蛋白质组学的进展：从无标记定量和生物标志物选择的角度

卷 21, 期 1, 2020

页: [34 - 54] 页: 21

弟呕挨: 10.2174/1389450120666190821160207

价格: $65

Open Access Journals Promotions 2
摘要

背景：由于糖尿病的盛行以及对经济和社会的负面影响，糖尿病（DM）已成为全球关注的问题。有鉴于此，已应用无标记定量（LFQ）蛋白质组学和糖尿病标记物选择方法来阐明 与胰岛素抵抗相关的基本机制，探索新型蛋白质生物标志物，并发现创新的治疗性蛋白质靶标。目的：本文的目的是回顾和分析糖尿病蛋白质组学中无标记定量和糖尿病标记选择的最新计算进展和发展。 方法：利用Web of Science数据库，PubMed数据库和Google Scholar搜索无标签定量，计算进展，特征选择和糖尿病蛋白质组学。 结果：在这项研究中，我们系统地回顾了无标记定量和糖尿病标记选择方法的计算进展，这些方法被用于了解DM病理机制。首先，全面讨论了已应用于糖尿病研究的各种流行的定量测量方法和蛋白质组学定量软件工具。其次，概述了许多流行的操纵方法，包括变换，预处理（居中，缩放和归一化），缺失值插补方法以及应用于糖尿病蛋白质组学数据的各种流行特征选择技术，并对其优点和缺点进行了客观评估。最后，提出了在糖尿病蛋白质组学中有效使用基于计算的LFQ技术和特征选择方法的指南。 结论：总而言之，本综述为从事蛋白质组学生物标志物发现的研究人员提供了指南，并通过适当应用这些蛋白质组学计算进展，将在糖尿病领域找到更可靠的治疗靶标。

关键词: 无标签定量，糖尿病蛋白质组学，计算，目标发现，抗糖尿病药物，质谱。

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