Proteomics and phosphoproteomics in precision medicine: applications and challenges.
Proteomics and phosphoproteomics in precision medicine: applications and challenges.
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DOI：
10.1093/bib/bbx141
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发表时间：
2019-05-21
影响因子：
9.5
通讯作者：
Petsalaki E
中科院分区：
文献类型：
--
作者：
Giudice G;Petsalaki E
蛋白质组学的最新进展允许从多个样品中平行精确测量数千种蛋白质和磷蛋白的丰度。因此，我们第一次有机会以系统的方式测量数千例患者样本或疾病模型细胞系的蛋白质组学特征，以确定精确的潜在分子机制，并发现个性化的生物标志物，网络和治疗方法。在这里，我们回顾了成功使用蛋白质组学和磷蛋白质组学数据集的例子，以及它们与精确医学目标的其他组学数据集的整合。我们将讨论这些大型数据集的生成、分析和整合所带来的生物信息学挑战，并提出蛋白质组学分析和生物标志物目前未在临床环境中广泛应用的潜在原因。最后，我们将讨论如何在精准医学和临床环境中更好地利用蛋白质组学数据。
Recent advances in proteomics allow the accurate measurement of abundances for thousands of proteins and phosphoproteins from multiple samples in parallel. Therefore, for the first time, we have the opportunity to measure the proteomic profiles of thousands of patient samples or disease model cell lines in a systematic way, to identify the precise underlying molecular mechanism and discover personalized biomarkers, networks and treatments. Here, we review examples of successful use of proteomics and phosphoproteomics data sets in as well as their integration other omics data sets with the aim of precision medicine. We will discuss the bioinformatics challenges posed by the generation, analysis and integration of such large data sets and present potential reasons why proteomics profiling and biomarkers are not currently widely used in the clinical setting. We will finally discuss ways to contribute to the better use of proteomics data in precision medicine and the clinical setting.
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影响因子：
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Cutillas PR
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通讯作者：
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通讯作者：
Lehner, Ben