Yu Li-Rong, Zhu Zhongyu, Chan King C, Issaq Haleem J, Dimitrov Dimiter S, Veenstra Timothy D
Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., NCI-Frederick, P.O. Box B, Frederick, Maryland 21702, USA.
J Proteome Res. 2007 Nov;6(11):4150-62. doi: 10.1021/pr070152u. Epub 2007 Oct 9.
Enrichment is essential for phosphoproteome analysis because phosphorylated proteins are usually present in cells in low abundance. Recently, titanium dioxide (TiO2) has been demonstrated to enrich phosphopeptides from simple peptide mixtures with high specificity; however, the technology has not been optimized. In the present study, significant non-specific bindings were observed when proteome samples were applied to TiO2 columns. Column wash with an NH4Glu solution after loading peptide mixtures significantly increased the efficiency of TiO2 phosphopeptide enrichment with a recovery of up to 84%. Also, for proteome samples, more than a 2-fold increase in unique phosphopeptide identifications has been achieved. The use of NH4Glu for a TiO2 column wash does not significantly reduce the phosphopeptide recovery. A total of 858 phosphopeptides corresponding to 1034 distinct phosphosites has been identified from HeLa cells using the improved TiO2 enrichment procedure in combination with data-dependent neutral loss nano-RPLC-MS2-MS3 analysis. While 41 and 35% of the phosphopeptides were identified only by MS2 and MS3, respectively, 24% was identified by both MS2 and MS3. Cross-validation of the phosphopeptide assignment by MS2 and MS3 scans resulted in the highest confidence in identification (99.5%). Many phosphosites identified in this study appear to be novel, including sites from antigen Ki-67, nucleolar phosphoprotein p130, and Treacle protein. The study also indicates that evaluation of confidence levels for phosphopeptide identification via the reversed sequence database searching strategy might underestimate the false positive rate.
富集对于磷酸化蛋白质组分析至关重要,因为磷酸化蛋白通常在细胞中低丰度存在。最近,已证明二氧化钛(TiO₂)能从简单的肽混合物中以高特异性富集磷酸肽;然而,该技术尚未得到优化。在本研究中,当将蛋白质组样品应用于TiO₂柱时,观察到显著的非特异性结合。在加载肽混合物后用NH₄Glu溶液冲洗柱子显著提高了TiO₂磷酸肽富集效率,回收率高达84%。此外,对于蛋白质组样品,独特磷酸肽鉴定数量增加了两倍多。使用NH₄Glu冲洗TiO₂柱不会显著降低磷酸肽回收率。使用改进的TiO₂富集程序结合数据依赖中性丢失纳米RPLC-MS2-MS3分析,从HeLa细胞中总共鉴定出858个对应于1034个不同磷酸化位点的磷酸肽。虽然分别只有41%和35%的磷酸肽仅通过MS2和MS3鉴定,但24%的磷酸肽通过MS2和MS3均被鉴定。通过MS2和MS3扫描对磷酸肽归属进行交叉验证,鉴定的置信度最高(99.5%)。本研究中鉴定出的许多磷酸化位点似乎是新的,包括来自抗原Ki-67、核仁磷蛋白p130和Treacle蛋白的位点。该研究还表明,通过反向序列数据库搜索策略评估磷酸肽鉴定的置信水平可能会低估假阳性率。