Laboratory of Gaseous Ion Chemistry, Department of Chemistry, Research Institute for Natural Sciences, Korea University , Seoul 136-701, South Korea.
Biological Sciences Division, Pacific Northwest National Laboratory , Richland, Washington, United States.
Anal Chem. 2017 Jan 17;89(2):1244-1253. doi: 10.1021/acs.analchem.6b03874. Epub 2016 Dec 22.
Mass spectrometry (MS)-based proteomics, which uses high-resolution hybrid mass spectrometers such as the quadrupole-orbitrap mass spectrometer, can yield tens of thousands of tandem mass (MS/MS) spectra of high resolution during a routine bottom-up experiment. Despite being a fundamental and key step in MS-based proteomics, the accurate determination and assignment of precursor monoisotopic masses to the MS/MS spectra remains difficult. The difficulties stem from imperfect isotopic envelopes of precursor ions, inaccurate charge states for precursor ions, and cofragmentation. We describe a composite method of utilizing MS data to assign accurate monoisotopic masses to MS/MS spectra, including those subject to cofragmentation. The method, "multiplexed post-experiment monoisotopic mass refinement" (mPE-MMR), consists of the following: multiplexing of precursor masses to assign multiple monoisotopic masses of cofragmented peptides to the corresponding multiplexed MS/MS spectra, multiplexing of charge states to assign correct charges to the precursor ions of MS/MS spectra with no charge information, and mass correction for inaccurate monoisotopic peak picking. When combined with MS-GF+, a database search algorithm based on fragment mass difference, mPE-MMR effectively increases both sensitivity and accuracy in peptide identification from complex high-throughput proteomics data compared to conventional methods.
基于质谱(MS)的蛋白质组学使用高分辨率混合质谱仪,如四极杆-轨道质谱仪,在常规的自上而下实验中可以产生成千上万条高分辨率的串联质谱(MS/MS)谱。尽管这是基于 MS 的蛋白质组学的一个基本和关键步骤,但准确确定和分配 MS/MS 谱的前体单一同位素质量仍然很困难。困难源于前体离子的不完全同位素包络、前体离子的不准确电荷状态以及共碎裂。我们描述了一种利用 MS 数据为 MS/MS 谱分配准确单一同位素质量的综合方法,包括那些受到共碎裂影响的谱图。该方法称为“多重实验后单一同位素质量精修(mPE-MMR)”,包括以下步骤:前体质量的多重化,将共碎裂肽的多个单一同位素质量分配给相应的多重化 MS/MS 谱;电荷状态的多重化,将没有电荷信息的 MS/MS 谱的前体离子分配正确的电荷;以及不准确的单一同位素峰选择的质量校正。当与基于片段质量差异的数据库搜索算法 MS-GF+结合使用时,与传统方法相比,mPE-MMR 有效地提高了从复杂的高通量蛋白质组学数据中进行肽鉴定的灵敏度和准确性。