Scheltema Richard A, Kamleh Anas, Wildridge David, Ebikeme Charles, Watson David G, Barrett Michael P, Jansen Ritsert C, Breitling Rainer
Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Haren, The Netherlands.
Proteomics. 2008 Nov;8(22):4647-56. doi: 10.1002/pmic.200800314.
With the advent of a new generation of high-resolution mass spectrometers, the fields of proteomics and metabolomics have gained powerful new tools. In this paper, we demonstrate a novel computational method that improves the mass accuracy of the LTQ-Orbitrap mass spectrometer from an initial +/- 1-2 ppm, obtained by the standard software, to an absolute median of 0.21 ppm (SD 0.21 ppm). With the increased mass accuracy it becomes much easier to match mass chromatograms in replicates and different sample types, even if compounds are detected at very low intensities. The proposed method exploits the ubiquitous presence of background ions in LC-MS profiles for accurate alignment and internal mass calibration, making it applicable for all types of MS equipment. The accuracy of this approach will facilitate many downstream systems biology applications, including mass-based molecule identification, ab initio metabolic network reconstruction, and untargeted metabolomics in general.
随着新一代高分辨率质谱仪的出现,蛋白质组学和代谢组学领域获得了强大的新工具。在本文中,我们展示了一种新颖的计算方法,该方法可将LTQ - Orbitrap质谱仪的质量精度从标准软件获得的初始±1 - 2 ppm提高到绝对中位数0.21 ppm(标准差0.21 ppm)。随着质量精度的提高,即使化合物在非常低的强度下被检测到,在重复实验和不同样品类型中匹配质量色谱图也变得容易得多。所提出的方法利用了液相色谱 - 质谱(LC - MS)图谱中普遍存在的背景离子进行精确对齐和内部质量校准,使其适用于所有类型的质谱设备。这种方法的准确性将促进许多下游系统生物学应用,包括基于质量的分子鉴定、从头代谢网络重建以及一般的非靶向代谢组学。