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Liquid chromatography mass spectrometry-based proteomics: Biological and technological aspects

机译:基于液相色谱质谱的蛋白质组学:生物学和生物学   技术方面

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摘要

Mass spectrometry-based proteomics has become the tool of choice foridentifying and quantifying the proteome of an organism. Though recent yearshave seen a tremendous improvement in instrument performance and thecomputational tools used, significant challenges remain, and there are manyopportunities for statisticians to make important contributions. In the mostwidely used "bottom-up" approach to proteomics, complex mixtures of proteinsare first subjected to enzymatic cleavage, the resulting peptide products areseparated based on chemical or physical properties and analyzed using a massspectrometer. The two fundamental challenges in the analysis of bottom-upMS-based proteomics are as follows: (1) Identifying the proteins that arepresent in a sample, and (2) Quantifying the abundance levels of the identifiedproteins. Both of these challenges require knowledge of the biological andtechnological context that gives rise to observed data, as well as theapplication of sound statistical principles for estimation and inference. Wepresent an overview of bottom-up proteomics and outline the key statisticalissues that arise in protein identification and quantification.
机译:基于质谱的蛋白质组学已成为鉴定和量化生物体蛋白质组的首选工具。尽管近年来在仪器性能和所使用的计算工具方面已取得了巨大的进步,但仍然存在重大挑战,统计学家有许多机会做出重要贡献。在蛋白质组学最广泛使用的“自下而上”方法中,首先对复杂的蛋白质混合物进行酶裂解,然后根据化学或物理性质分离所得的肽产物,并使用质谱仪进行分析。在基于自下而上的基于MS的蛋白质组学分析中,两个基本挑战如下:(1)鉴定样品中存在的蛋白质,以及(2)定量所鉴定蛋白质的丰度水平。这两个挑战都需要了解生物和技术方面的知识,这些知识会产生观测到的数据,并且需要运用合理的统计原理进行估计和推断。我们概述了自下而上的蛋白质组学,并概述了蛋白质鉴定和定量中出现的关键统计问题。

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