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Proteomics and phosphoproteomics in precision medicine: applications and challenges

机译:精密医学中的蛋白质组学和磷酸化蛋白质组学:应用和挑战

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摘要

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.
机译:蛋白质组学的最新进展允许并行测量多个样品中数千种蛋白质和磷蛋白的丰度。因此,我们首次有机会以系统的方式测量成千上万个患者样品或疾病模型细胞系的蛋白质组学特征,以识别确切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,我们回顾了蛋白质组学和磷酸化蛋白质组学数据集成功使用的示例,以及它们与其他组学数据集的集成,以精确医学为目标。我们将讨论由此类大数据集的生成,分析和集成带来的生物信息学挑战,并提出蛋白质组学分析和生物标记物目前在临床环境中尚未广泛使用的潜在原因。我们将最终讨论在精密医学和临床环境中更好地使用蛋白质组学数据的方法。

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