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Advanced Mass Spectrometric Methods for the Rapid and Quantitative Characterization of Proteomes

机译:用于蛋白质组学快速定量表征的先进质谱方法

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摘要

Progress is reviewed towards the development of a global strategy that aims to extend the sensitivity, dynamic range, comprehensiveness and throughput of proteomic measurements based upon the use of high performance separations and mass spectrometry. The approach uses high accuracy mass measurements from Fourier transform ion cyclotron resonance mass spectrometry (FTICR) to validate peptide ‘accurate mass tags’ (AMTs) produced by global protein enzymatic digestions for a specific organism, tissue or cell type from ‘potential mass tags’ tentatively identified using conventional tandem mass spectrometry (MS/MS). This provides the basis for subsequent measurements without the need for MS/ MS. High resolution capillary liquid chromatography separations combined with high sensitivity, and high resolution accurate FTICR measurements are shown to be capable of characterizing peptide mixtures of more than 105 components. The strategy has been initially demonstrated using the microorganisms Saccharomyces cerevisiae and Deinococcus radiodurans. Advantages of the approach include the high confidence of protein identification, its broad proteome coverage, high sensitivity, and the capability for stableisotope labeling methods for precise relative protein abundance measurements.Abbreviations: LC, liquid chromatography; FTICR, Fourier transform ion cyclotron resonance; AMT, accurate mass tag; PMT, potential mass tag; MMA, mass measurement accuracy; MS, mass spectrometry; MS/MS, tandem mass spectrometry; ppm, parts per million.
机译:审查了开发全球策略的进展,该策略旨在基于使用高效分离和质谱技术来扩展蛋白质组学测量的灵敏度,动态范围,全面性和通量。该方法使用傅立叶变换离子回旋共振质谱(FTICR)的高精度质量测量来验证肽的“精确质量标签”(AMT),这些蛋白质是通过“潜在质量标签”针对特定生物,组织或细胞类型进行的全局蛋白质酶消化产生的使用常规串联质谱(MS / MS)进行初步鉴定。这为无需MS / MS的后续测量提供了基础。高分辨率毛细管液相色谱分离与高灵敏度以及高分辨率准确的FTICR测量相结合,能够表征超过10 5 个组分的肽混合物。该策略最初已使用微生物酿酒酵母和放射性杜氏球菌进行了证明。该方法的优点包括高度可靠的蛋白质鉴定,广泛的蛋白质组覆盖范围,高灵敏度以及稳定的同位素标记方法的能力,可进行精确的相对蛋白质丰度测量。 FTICR,傅立叶变换离子回旋共振; AMT,准确的质量标签; PMT,潜在的质量标签; MMA,质量测量精度; MS,质谱; MS。 MS / MS,串联质谱; ppm,百万分之一。

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