Department of Chemistry, 600 South Mathews Avenue, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Anal Chem. 2010 Feb 15;82(4):1234-44. doi: 10.1021/ac9021083.
Despite the availability of ultra-high-resolution mass spectrometers, methods for separation and detection of intact proteins for proteome-scale analyses are still in a developmental phase. Here we report robust protocols for online LC-MS to drive high-throughput top-down proteomics in a fashion similar to that of bottom-up proteomics. Comparative work on protein standards showed that a polymeric stationary phase led to superior sensitivity over a silica-based medium in reversed-phase nanocapillary LC, with detection of proteins >50 kDa routinely accomplished in the linear ion trap of a hybrid Fourier transform mass spectrometer. Protein identification was enabled by nozzle-skimmer dissociation and detection of fragment ions with <10 ppm mass accuracy for highly specific database searching using tailored software. This overall approach led to identification of proteins up to 80 kDa, with 10-60 proteins identified in single LC-MS runs of samples from yeast and human cell lines prefractionated by their molecular mass using a gel-based sieving system.
尽管已经有了超高分辨率的质谱仪,但用于蛋白质组学分析的完整蛋白质分离和检测方法仍处于发展阶段。在这里,我们报告了一种强大的在线 LC-MS 方法,用于以类似于 Bottom-up 蛋白质组学的方式进行高通量的自上而下的蛋白质组学分析。对蛋白质标准品的比较研究表明,在反相纳米毛细管 LC 中,聚合物固定相比基于硅胶的介质具有更高的灵敏度,可常规检测到 >50 kDa 的蛋白质,在混合傅里叶变换质谱仪的线性离子阱中实现。通过喷嘴-撇取器解离和检测碎片离子,实现了蛋白质鉴定,具有 <10 ppm 的质量精度,可使用定制软件进行高度特异性的数据库搜索。这种整体方法可鉴定高达 80 kDa 的蛋白质,在使用基于凝胶的筛分系统根据分子量对酵母和人细胞系样品进行预分级后,单次 LC-MS 运行可鉴定 10-60 种蛋白质。