Embedded Systems - Hardware, Design, and Implementation
Embedded Systems - Hardware, Design, and Implementation
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嵌入式系统 - 硬件、设计和实现
DOI：
10.1002/9781118468654.ch7
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Coca D
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文献类型：
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作者：
Coca D
自20世纪50年代首次报道质谱法（MS）用于鉴定有机化合物以来，MS已成为蛋白质鉴定和定量的最灵敏和最强大的工具[2]。高通量液相色谱-串联质谱的发展为在蛋白质组范围内测量蛋白质表达提供了技术手段。这将为蛋白质功能提供前所未有的见解[3]，更全面地表征基因表达。并将加速疾病相关蛋白质生物标志物的发现[4]。虽然大多数蛋白质组范围的研究旨在表征稳定状态下的蛋白质表达，但我们在全球范围内定量表征蛋白质表达动态的能力是提高我们对复杂生物过程理解的关键[5，6]。获得这种规模的蛋白质表达时间序列需要产生和处理串联质谱（MS/MS）的巨大数据集，因为在单个实验中对大量蛋白质组的分析可以产生数百GB的原始质谱数据。此外，现代质谱仪的典型采集速率为每秒200个光谱，而在高端计算机工作站上分析单个光谱可能需要数十秒。尽管计算机能力快速增长，但数据分析仍然是蛋白质组学工作流程中的主要瓶颈。
Since the first applications of mass spectrometry (MS) to the identification of organic compounds were reported in the 1950s [1], MS has emerged as the most sensitive and powerful tool for protein identification and quantification [2]. Advances in high-throughput, liquid chromatography–tandem mass spectrometry provide the technological means to measure protein expression on a proteome-wide scale. This should provide unprecedented insight into protein function [3], a more comprehensive characterization of gene expression. and will accelerate the discovery of disease-associated protein biomarkers [4]. While the majority of proteome-wide studies aim to characterize the protein expression at steady state, our ability to quantitatively characterize the dynamics of protein expression on a global scale is key to increasing our understanding of complex biological processes [5, 6]. Obtaining protein expression time series on this scale requires the generation and processing of huge data sets of tandem mass spectrometry (MS/MS), given that the analysis of a substantial proteome in a single experiment can generate hundreds of gigabytes of raw mass spectrometric data. Moreover, modern mass spectrometers have typical acquisition rates of 200 spectra per second, while the analysis of single spectra can take tens of seconds on a high-end computer workstation. Despite rapid increases in computer power, data analysis is still a major bottleneck in proteomics workflow.