Han Guanghui, Ye Mingliang, Zhou Houjiang, Jiang Xinning, Feng Shun, Jiang Xiaogang, Tian Ruijun, Wan Dafang, Zou Hanfa, Gu Jianren
National Chromatographic R&A Center, Dalian Institute of Chemical Physics, The Chinese Academy of Sciences, Dalian, China.
Proteomics. 2008 Apr;8(7):1346-61. doi: 10.1002/pmic.200700884.
The mixture of phosphopeptides enriched from proteome samples are very complex. To reduce the complexity it is necessary to fractionate the phosphopeptides. However, conventional enrichment methods typically only enrich phosphopeptides but not fractionate phosphopeptides. In this study, the application of strong anion exchange (SAX) chromatography for enrichment and fractionation of phosphopeptides was presented. It was found that phosphopeptides were highly enriched by SAX and majority of unmodified peptides did not bind onto SAX. Compared with Fe(3+) immobilized metal affinity chromatography (Fe(3+)-IMAC), almost double phosphopeptides were identified from the same sample when only one fraction was generated by SAX. SAX and Fe(3+)-IMAC showed the complementarity in enrichment and identification of phosphopeptides. It was also demonstrated that SAX have the ability to fractionate phosphopeptides under gradient elution based on their different interaction with SAX adsorbent. SAX was further applied to enrich and fractionate phosphopeptides in tryptic digest of proteins extracted from human liver tissue adjacent to tumorous region for phosphoproteome profiling. This resulted in the highly confident identification of 274 phosphorylation sites from 305 unique phosphopeptides corresponding to 168 proteins at false discovery rate (FDR) of 0.96%.
从蛋白质组样品中富集得到的磷酸化肽混合物非常复杂。为了降低其复杂性,有必要对磷酸化肽进行分离。然而,传统的富集方法通常仅能富集磷酸化肽,而不能对其进行分离。在本研究中,介绍了强阴离子交换(SAX)色谱在磷酸化肽富集和分离中的应用。研究发现,SAX能高度富集磷酸化肽,且大多数未修饰的肽不与SAX结合。与固定化金属离子亲和色谱(Fe(3+)-IMAC)相比,当仅通过SAX产生一个馏分时,从同一样品中鉴定出的磷酸化肽几乎增加了一倍。SAX和Fe(3+)-IMAC在磷酸化肽的富集和鉴定方面表现出互补性。研究还表明,SAX能够在梯度洗脱条件下,根据磷酸化肽与SAX吸附剂的不同相互作用对其进行分离。SAX进一步应用于富集和分离从肿瘤区域附近的人肝组织中提取的蛋白质的胰蛋白酶消化产物中的磷酸化肽,以进行磷酸化蛋白质组分析。这使得在0.96%的错误发现率(FDR)下,从305个对应于168种蛋白质的独特磷酸化肽中高度可靠地鉴定出274个磷酸化位点。