Proteomics: a pragmatic perspective
Proteomics: a pragmatic perspective
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DOI：
10.1038/nbt.1658
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发表时间：
2010-07-01
影响因子：
46.9
通讯作者：
Kuster, Bernhard
中科院分区：
文献类型：
--
作者：
Mallick, Parag;Kuster, Bernhard
基于质谱学的蛋白质组学技术的发展促进了我们对蛋白质组复杂和动态性质的理解，同时也揭示了没有一种‘一刀切’的蛋白质组学策略可以用来解决所有的生物学问题。虽然一些技术，如那些用于分析蛋白质复合体的技术已经成熟并被广泛应用，但其他一些技术，如用于发现生物标记物的全球定量蛋白质表达谱，仍然局限于少数专家实验室。在这个视角下，我们试图将广泛的可想象的蛋白质组学方法提炼成适合于询问和回答特定类型的生物学问题的紧凑的技术规范。通过讨论生物样本的复杂性和实施适当分析方法的难度之间的关系，我们将当今广泛使用的蛋白质组学领域与那些需要重大技术和概念开发的领域进行比较。我们希望为非专家提供一个指南，以校准对从蛋白质组学实验中实际学到什么的期望，并衡量计划和执行工作。我们还提供了详细的补充资料，解释蛋白质组学中最常见的技术。
The evolution of mass spectrometry-based proteomic technologies has advanced our understanding of the complex and dynamic nature of proteomes while concurrently revealing that no 'one-size-fits-all' proteomic strategy can be used to address all biological questions. Whereas some techniques, such as those for analyzing protein complexes, have matured and are broadly applied with great success, others, such as global quantitative protein expression profiling for biomarker discovery, are still confined to a few expert laboratories. In this Perspective, we attempt to distill the wide array of conceivable proteomic approaches into a compact canon of techniques suited to asking and answering specific types of biological questions. By discussing the relationship between the complexity of a biological sample and the difficulty of implementing the appropriate analysis approach, we contrast areas of proteomics broadly usable today with those that require significant technical and conceptual development. We hope to provide nonexperts with a guide for calibrating expectations of what can realistically be learned from a proteomics experiment and for gauging the planning and execution effort. We further provide a detailed supplement explaining the most common techniques in proteomics.