Post alignment clustering procedure for comparative quantitative proteomics LC-MS data
Post alignment clustering procedure for comparative quantitative proteomics LC-MS data
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DOI：
10.1002/pmic.200700707
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发表时间：
2008-01-01
期刊：
影响因子：
3.4
通讯作者：
America, Antoine H. P.
中科院分区：
文献类型：
--
作者：
de Groot, Joost C. W.;Fiers, Mark W. E. J.;America, Antoine H. P.
比较LC-MS是一种用于复杂蛋白质混合物详细定量比较的强大方法。需要专用软件来检测、匹配和对齐多个LC-MS数据集中的峰。然而，保留时间偏移、饱和效应、实验准确度的限制以及可能出现的分裂峰使得软件难以完美匹配所有色谱图。我们描述了一个程序来评估上述问题，并表明数据集的质量可以提高与聚类分析的帮助。
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtures. Dedicated software is required for detection, matching, and alignment of peaks in multiple LC-MS datasets. However, retention time shifts, saturation effects, limitations of experimental accuracy, and possible occurrence of split peaks make it difficult for software to perfectly match all chromatograms. We describe a procedure to assess the above problems and show that dataset quality can be enhanced with the aid of cluster analysis.