Applications of targeted proteomics in systems biology and translational medicine.
Applications of targeted proteomics in systems biology and translational medicine.
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DOI：
10.1002/pmic.201500004
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发表时间：
2015-09
期刊：
影响因子：
3.4
通讯作者：
Aebersold R
中科院分区：
文献类型：
--
作者：
Ebhardt HA;Root A;Sander C;Aebersold R
生物系统由许多成分组成，其中蛋白质具有特别高的功能意义。网络模型是在上下文中研究这些组件的有用抽象。网络表示将分子显示为节点，将它们的相互作用显示为边。由于功能边缘难以直接测量，因此经常从适当结构化的数据集中推断出功能边缘，该数据集包括在多种扰动条件下对网络节点进行准确且一致的量化。为了对各种样品中有限的蛋白质列表进行精确定量，以选择/多反应监测（SRM、MRM）质谱为例的靶向蛋白质组学已被证明是有用的，并已应用于系统生物学和临床研究中的各种问题。在这里，我们调查了在系统生物学和临床蛋白质组学中使用 SRM-MS 的研究文献。系统生物学研究经常检查网络生物学中的基本问题，而临床研究经常侧重于各种疾病（包括心血管疾病和癌症）的生物标志物发现和验证。靶向蛋白质组学有望增进我们对生物网络和特定网络状态的表型意义的理解，并推动生物标志物进入临床应用。
Biological systems are composed of numerous components of which proteins are of particularly high functional significance. Network models are useful abstractions for studying these components in context. Network representations display molecules as nodes and their interactions as edges. Because they are difficult to directly measure, functional edges are frequently inferred from suitably structured datasets consisting of the accurate and consistent quantification of network nodes under a multitude of perturbed conditions. For the precise quantification of a finite list of proteins across a wide range of samples, targeted proteomics exemplified by selected/multiple reaction monitoring (SRM, MRM) mass spectrometry has proven useful and has been applied to a variety of questions in systems biology and clinical studies. Here, we survey the literature of studies using SRM‐MS in systems biology and clinical proteomics. Systems biology studies frequently examine fundamental questions in network biology, whereas clinical studies frequently focus on biomarker discovery and validation in a variety of diseases including cardiovascular disease and cancer. Targeted proteomics promises to advance our understanding of biological networks and the phenotypic significance of specific network states and to advance biomarkers into clinical use.