Lia R Serrano, J Scott Mellors, J Will Thompson, Noah M Lancaster, Margaret Lea Robinson, Katherine A Overmyer, Scott T Quarmby, Joshua J Coon
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引用次数: 0
摘要
毛细管区带电泳(CZE)以其超低流量、高分辨率的分离能力成为单细胞蛋白质组学研究的热点。磷蛋白质组学实验样本更有限,但生物信息更丰富,因为磷蛋白质组只占整个细胞蛋白质组的一小部分。快速分析,高灵敏度和样品利用率最大化是最重要的单细胞分析。耦合CZE分析与质谱分析(MS)复杂混合物的一些挑战包括:1。由于CZE和2的体积负载限制的灵敏度。质谱占空比与电泳时间标度不相容。在这里,我们通过将集成固相萃取(SPE)床的微芯片CZE设备与Orbitrap Astral质谱仪相连接,解决了这两个挑战,并应用于单细胞等效磷酸化蛋白质组学实验。使用225磷酸化肽标准和磷酸化肽富集的小鼠脑组织,我们研究了基于微芯片的SPE-CZE功能、定量性能以及与纳米lc - ms (nLC-MS)分析的互补性。我们强调了独特的SPE-CZE分离机制,可以在单细胞等效磷酸化蛋白质组学中实现适合目的的应用。
SPE-CZE-MS Quantifies Zeptomole Amounts of Phosphorylated Peptides.
Capillary zone electrophoresis (CZE) is gaining attention in the field of single-cell proteomics for its ultralow-flow and high-resolution separation abilities. Even more sample-limited yet rich in biological information are phosphoproteomics experiments, as the phosphoproteome composes only a fraction of the whole cellular proteome. Rapid analysis, high sensitivity, and maximization of sample utilization are paramount for single-cell analysis. Some challenges of coupling CZE analysis with mass spectrometry analysis (MS) of complex mixtures include 1. sensitivity due to volume loading limitations of CZE and 2. incompatibility of MS duty cycles with electropherographic time scales. Here, we address these two challenges as applied to single-cell-equivalent phosphoproteomics experiments by interfacing a microchip-based CZE device integrated with a solid-phase-extraction (SPE) bed with the Orbitrap Astral mass spectrometer. Using 225 phosphorylated peptide standards and phosphorylated peptide-enriched mouse brain tissue, we investigate microchip-based SPE-CZE functionality, quantitative performance, and complementarity to nano-LC-MS (nLC-MS) analysis. We highlight unique SPE-CZE separation mechanisms that can empower fit-for-purpose applications in single-cell-equivalent phosphoproteomics.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".