Department of Chemistry, Korea University, 1, 5-ka, Anam-dong, Seongbuk-gu, Seoul 136-701, Republic of Korea.
Anal Chem. 2010 Oct 15;82(20):8510-8. doi: 10.1021/ac101388b.
Accurate assignment of monoisotopic precursor masses to tandem mass spectrometric (MS/MS) data is a fundamental and critically important step for successful peptide identifications in mass spectrometry based proteomics. Here we describe an integrated approach that combines three previously reported methods of treating MS/MS data for precursor mass refinement. This combined method, "integrated post-experiment monoisotopic mass refinement" (iPE-MMR), integrates steps (1) generation of refined MS/MS data by DeconMSn; (2) additional refinement of the resultant MS/MS data by a modified version of PE-MMR; and (3) elimination of systematic errors of precursor masses using DtaRefinery. iPE-MMR is the first method that utilizes all MS information from multiple MS scans of a precursor ion including multiple charge states, in an MS scan, to determine precursor mass. With the combination of these methods, iPE-MMR increases sensitivity in peptide identification and provides increased accuracy when applied to complex high-throughput proteomics data.
准确地将单同位素前体质量分配给串联质谱(MS/MS)数据是成功进行基于质谱的蛋白质组学中肽鉴定的基础和关键步骤。在这里,我们描述了一种集成方法,该方法结合了三种以前报道的处理 MS/MS 数据以进行前体质量精修的方法。这种组合方法,“集成实验后单同位素质量精修”(iPE-MMR),集成了以下步骤:(1)通过 DeconMSn 生成精修的 MS/MS 数据;(2)通过修改后的 PE-MMR 对所得 MS/MS 数据进行额外的精修;以及(3)使用 DtaRefinery 消除前体质量的系统误差。iPE-MMR 是第一种利用前体离子的多个 MS 扫描(包括 MS 扫描中的多个电荷态)中的所有 MS 信息来确定前体质量的方法。通过这些方法的组合,iPE-MMR 提高了肽鉴定的灵敏度,并在应用于复杂的高通量蛋白质组学数据时提供了更高的准确性。