Suppr超能文献

采用 TiO2 富集、iTRAQ 标记和 Orbitrap CID-HCD 进行全局鉴定和磷酸肽定量分析。

Integrating titania enrichment, iTRAQ labeling, and Orbitrap CID-HCD for global identification and quantitative analysis of phosphopeptides.

机构信息

Systems Biology, Biological Technologies, Wyeth Research, Cambridge, MA, USA.

出版信息

Proteomics. 2010 Jun;10(11):2224-34. doi: 10.1002/pmic.200900788.

Abstract

Recent advances in MS instrumentation and progresses in phosphopeptide enrichment, in conjunction with more powerful data analysis tools, have facilitated unbiased characterization of thousands of site-specific phosphorylation events. Combined with stable isotope labeling by amino acids in cell culture metabolic labeling, these techniques have made it possible to quantitatively evaluate phosphorylation changes in various physiological states in stable cell lines. However, quantitative phosphoproteomics in primary cells and tissues remains a major technical challenge due to the lack of adequate techniques for accurate quantification. Here, we describe an integrated strategy allowing for large scale quantitative profiling of phosphopeptides in complex biological mixtures. In this technique, the mixture of proteolytic peptides was subjected to phosphopeptide enrichment using a titania affinity column, and the purified phosphopeptides were subsequently labeled with iTRAQ reagents. After further fractionation by strong-cation exchange, the peptides were analyzed by LC-MS/MS on an Orbitrap mass spectrometer, which collects CID and high-energy collisional dissociation (HCD) spectra sequentially for peptide identification and quantitation. We demonstrate that direct phosphopeptide enrichment of protein digests by titania affinity chromatography substantially improves the efficiency and reproducibility of phosphopeptide proteomic analysis and is compatible with downstream iTRAQ labeling. Conditions were optimized for HCD normalized collision energy to balance the overall peptide identification and quantitation using the relative abundances of iTRAQ reporter ions. Using this approach, we were able to identify 3557 distinct phosphopeptides from HeLa cell lysates, of which 2709 were also quantified from HCD scans.

摘要

近年来,MS 仪器的进步和磷酸肽富集的进展,结合更强大的数据分析工具,促进了对数千个特定磷酸化位点的无偏特征描述。与细胞培养代谢标记的稳定同位素标记氨基酸相结合,这些技术使得在稳定细胞系中定量评估各种生理状态下的磷酸化变化成为可能。然而,由于缺乏准确定量的充分技术,原代细胞和组织中的定量磷酸蛋白质组学仍然是一个主要的技术挑战。在这里,我们描述了一种综合策略,允许在复杂的生物混合物中大规模定量分析磷酸肽。在该技术中,将蛋白酶解肽的混合物用 TiO2 亲和柱进行磷酸肽富集,然后用 iTRAQ 试剂对纯化的磷酸肽进行标记。用强阳离子交换进一步分级后,用 Orbitrap 质谱仪通过 LC-MS/MS 进行分析,该质谱仪依次收集 CID 和高能碰撞解离 (HCD) 谱,用于肽鉴定和定量。我们证明,通过 TiO2 亲和色谱直接对蛋白质消化物进行磷酸肽富集,可显著提高磷酸肽蛋白质组分析的效率和重现性,并且与下游 iTRAQ 标记兼容。通过使用 iTRAQ 报告离子的相对丰度,优化了 HCD 归一化碰撞能的条件,以平衡整体肽鉴定和定量。使用这种方法,我们能够从 HeLa 细胞裂解物中鉴定出 3557 个独特的磷酸肽,其中 2709 个也可以从 HCD 扫描中定量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验