采用液相色谱-毛细管电泳-质谱成像技术进行神经肽分析。
Neuropeptide analysis with liquid chromatography-capillary electrophoresis-mass spectrometric imaging.
机构信息
School of Pharmacy, University of Wisconsin, Madison, Wisconsin 53705, USA.
出版信息
J Sep Sci. 2012 Jul;35(14):1779-84. doi: 10.1002/jssc.201200051.
Abstract
Herein we report the first attempt of coupling multidimensional separations to matrix-assisted laser desorption/ionization (MALDI) mass spectrometric imaging detection. Complex neuropeptide mixtures extracted from crustaceans were first fractionated by reversed-phase liquid chromatography (RPLC), and then subjected to a capillary electrophoresis-mass spectrometric imaging platform. With a specific focus on orcokinin family neuropeptides, we demonstrated that these trace-level analytes from complex neural tissue samples can be fully separated from chemical noise and interfering components and visualized as mass spectrometric imaging signals. A total of 19 putative orcokinins were detected, with highly efficient separations within the family being achieved for the first time. The results indicate that two-dimensional separation coupling to mass spectrometric imaging can serve as a novel and powerful tool in proteomics and peptidomics studies.
摘要
本文首次尝试将多维分离与基质辅助激光解吸/电离（MALDI）质谱成像检测相结合。从甲壳类动物中提取的复杂神经肽混合物首先通过反相液相色谱（RPLC）进行分离，然后进行毛细管电泳-质谱成像平台分析。特别关注章鱼胺家族神经肽，我们证明这些来自复杂神经组织样本的痕量分析物可以完全与化学噪声和干扰成分分离，并作为质谱成像信号可视化。总共检测到 19 种假定的章鱼胺，首次实现了家族内的高效分离。结果表明，二维分离与质谱成像相结合可以作为蛋白质组学和肽组学研究的一种新的强大工具。
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