Department of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA.
Celgene Corporation, Cambridge, MA, USA.
J Am Soc Mass Spectrom. 2017 Jun;28(6):1127-1135. doi: 10.1007/s13361-017-1603-5. Epub 2017 Mar 10.
Mass spectrometry has played a significant role in the identification of unknown phosphoproteins and sites of phosphorylation in biological samples. Analyses of protein phosphorylation, particularly large scale phosphoproteomic experiments, have recently been enhanced by efficient enrichment, fast and accurate instrumentation, and better software, but challenges remain because of the low stoichiometry of phosphorylation and poor phosphopeptide ionization efficiency and fragmentation due to neutral loss. Phosphoproteomics has become an important dimension in systems biology studies, and it is essential to have efficient analytical tools to cover a broad range of signaling events. To evaluate current mass spectrometric performance, we present here a novel method to estimate the efficiency of phosphopeptide identification by tandem mass spectrometry. Phosphopeptides were directly isolated from whole plant cell extracts, dephosphorylated, and then incubated with one of three purified kinases-casein kinase II, mitogen-activated protein kinase 6, and SNF-related protein kinase 2.6-along with O- and O-ATP separately for in vitro kinase reactions. Phosphopeptides were enriched and analyzed by LC-MS. The phosphopeptide identification rate was estimated by comparing phosphopeptides identified by tandem mass spectrometry with phosphopeptide pairs generated by stable isotope labeled kinase reactions. Overall, we found that current high speed and high accuracy mass spectrometers can only identify 20%-40% of total phosphopeptides primarily due to relatively poor fragmentation, additional modifications, and low abundance, highlighting the urgent need for continuous efforts to improve phosphopeptide identification efficiency. Graphical Abstract ᅟ.
质谱分析在鉴定生物样本中的未知磷酸化蛋白和磷酸化位点方面发挥了重要作用。蛋白质磷酸化分析,尤其是大规模磷酸蛋白质组学实验,最近由于有效的富集、快速准确的仪器和更好的软件而得到了增强,但由于磷酸化的低化学计量比以及中性丢失导致的磷酸肽电离效率和碎片化较差,仍存在挑战。磷酸蛋白质组学已成为系统生物学研究的一个重要方面,拥有高效的分析工具来涵盖广泛的信号事件至关重要。为了评估当前的质谱性能,我们在此提出了一种新的方法来估计串联质谱法鉴定磷酸肽的效率。磷酸肽直接从全植物细胞提取物中分离出来,去磷酸化,然后与三种纯化激酶之一(酪蛋白激酶 II、丝裂原激活蛋白激酶 6 和 SNF 相关蛋白激酶 2.6)以及 O-和 O-ATP 分别孵育,进行体外激酶反应。通过 LC-MS 对磷酸肽进行富集和分析。通过比较串联质谱鉴定的磷酸肽与稳定同位素标记激酶反应生成的磷酸肽对,估计磷酸肽的鉴定率。总体而言,我们发现当前的高速和高精度质谱仪只能鉴定 20%-40%的总磷酸肽,主要是由于碎片化较差、额外修饰和低丰度,突出了不断努力提高磷酸肽鉴定效率的迫切需要。