Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
J Am Soc Mass Spectrom. 2012 Dec;23(12):2083-93. doi: 10.1007/s13361-012-0481-0. Epub 2012 Sep 20.
Neuropeptides are essential cell-to-cell signaling molecules that influence diverse regulatory and behavioral functions within biological systems. Differing in their amino acid sequences and post-translational modifications, hundreds of neuropeptides are produced via a series of enzymatic processing steps, and their levels vary with location, time, and physiological condition. Due to their wide range of endogenous concentrations and inherent chemical complexity, using mass spectrometry (MS) to accurately quantify changes in peptide levels can be challenging. Here we evaluate three different MS systems for their ability to accurately measure neuropeptide levels: capillary liquid chromatography-electrospray ionization-ion trap (CapLC-ESI-IT) MS, ultraperformance liquid chromatography-electrospray ionization-quadrupole-time-of-flight (UPLC-LC-ESI-Q-TOF) MS, and matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) MS. Specifically, eight sample mixtures composed of five neuropeptide standards, with four technical replicates of each, were labeled with H(4)/D(4)-succinic anhydride, followed by relative peptide quantitation using the three MS platforms. For these samples, the CapLC-ESI-IT MS platform offered the most robust ability to accurately quantify peptides over a concentration range of 1200-fold, although it required larger sample sizes than the other two platforms. Both the UPLC-ESI-Q-TOF MS and the MALDI-TOF MS systems had lower limits of quantification, with the MALDI-TOF having the lowest. By implementing several data acquisition schemes and optimizing the data analysis approaches, we were able to accurately quantify peptides over a three orders of magnitude concentration range using either the UPLC or MALDI-TOF platforms. Overall these results increase our understanding of both the capabilities and limits of using MS-based approaches to measure peptides.
神经肽是细胞间信号分子的重要组成部分,影响着生物系统中各种调节和行为功能。它们的氨基酸序列和翻译后修饰不同,通过一系列酶促加工步骤产生数百种神经肽,其水平随位置、时间和生理状况而变化。由于其广泛的内源性浓度和固有的化学复杂性,使用质谱(MS)准确地定量肽水平的变化可能具有挑战性。在这里,我们评估了三种不同的 MS 系统,以评估它们准确测量神经肽水平的能力:毛细管液相色谱-电喷雾电离-离子阱(CapLC-ESI-IT)MS、超高效液相色谱-电喷雾电离-四极杆-飞行时间(UPLC-LC-ESI-Q-TOF)MS 和基质辅助激光解吸/电离-飞行时间(MALDI-TOF)MS。具体来说,由五个神经肽标准品组成的八个样品混合物,每个标准品有四个技术重复,用 H(4)/D(4)-琥珀酸酐标记,然后使用三种 MS 平台进行相对肽定量。对于这些样品,CapLC-ESI-IT MS 平台提供了最准确地定量肽的能力,其浓度范围高达 1200 倍,尽管它需要比其他两个平台更大的样品量。UPLC-ESI-Q-TOF MS 和 MALDI-TOF MS 系统都具有较低的定量下限,其中 MALDI-TOF 的定量下限最低。通过实施几种数据采集方案并优化数据分析方法,我们能够使用 UPLC 或 MALDI-TOF 平台准确地定量在三个数量级浓度范围内的肽。总的来说,这些结果增加了我们对使用基于 MS 的方法测量肽的能力和限制的理解。