Label-free quantitative proteomic analysis of human plasma-derived microvesicles to find protein signatures of abdominal aortic aneurysms
Label-free quantitative proteomic analysis of human plasma-derived microvesicles to find protein signatures of abdominal aortic aneurysms
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DOI：
10.1002/prca.201400010
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发表时间：
2014-08-01
影响因子：
2
通讯作者：
Luis Martin-Ventura, Jose
中科院分区：
文献类型：
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作者：
Martinez-Pinna, Roxana;de Peredo, Anne Gonzalez;Luis Martin-Ventura, Jose
目的：为了寻找腹主动脉瘤(AAA)的潜在生物标志物，我们以人血浆来源的微囊为基础进行了差异蛋白质组学研究。实验设计：采用无标记定量MS方法分析AAA患者和对照组(n=10)血浆中的外切体和微粒。结果：两种生物信息学工具的应用使我们能够找到AAA患者的差异蛋白质图谱。这两种分析方法发现的这些蛋白质中的一些属于AAA的主要病理机制，如氧化应激、免疫炎症和血栓形成。结论和临床相关性：来自无标记MS实验的数据分析需要使用复杂的生物信息学方法来从复杂的蛋白质混合物中进行定量研究。其中两种生物信息学工具的应用为我们提供了一个在血浆来源的微泡中发现的差异蛋白质的初步清单，这可能有助于我们理解与AAA相关的病理机制。
Purpose: To find potential biomarkers of abdominal aortic aneurysms (AAA), we performed a differential proteomic study based on human plasma-derived microvesicles.Experimental design: Exosomes and microparticles isolated from plasma of AAA patients and control subjects (n = 10 each group) were analyzed by a label-free quantitative MS-based strategy. Homemade and publicly available software packages have been used for MS data analysis.Results: The application of two kinds of bioinformatic tools allowed us to find differential protein profiles from AAA patients. Some of these proteins found by the two analysis methods belong to main pathologicalmechanisms of AAA such as oxidative stress, immune-inflammation, and thrombosis.Conclusions and clinical relevance: Data analysis from label-free MS-based experiments requires the use of sophisticated bioinformatic approaches to perform quantitative studies from complex protein mixtures. The application of two of these bioinformatic tools provided us a preliminary list of differential proteins found in plasma-derived microvesicles not previously associated to AAA, which could help us to understand the pathological mechanisms related to this disease.