Zhai Bo, Villén Judit, Beausoleil Sean A, Mintseris Julian, Gygi Steven P
Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, USA.
J Proteome Res. 2008 Apr;7(4):1675-82. doi: 10.1021/pr700696a. Epub 2008 Mar 8.
Protein phosphorylation is a key regulatory event in most cellular processes and development. Mass spectrometry-based proteomics provides a framework for the large-scale identification and characterization of phosphorylation sites. Here, we used a well-established phosphopeptide enrichment and identification strategy including the combination of strong cation exchange chromatography, immobilized metal affinity chromatography, and high-accuracy mass spectrometry instrumentation to study phosphorylation in developing Drosophila embryos. In total, 13,720 different phosphorylation sites were discovered from 2702 proteins with an estimated false-discovery rate (FDR) of 0.63% at the peptide level. Because of the large size of the data set, both novel and known phosphorylation motifs were extracted using the Motif-X algorithm, including those representative of potential ordered phosphorylation events.
蛋白质磷酸化是大多数细胞过程和发育中的关键调控事件。基于质谱的蛋白质组学为大规模鉴定和表征磷酸化位点提供了一个框架。在此,我们使用了一种成熟的磷酸肽富集和鉴定策略,包括强阳离子交换色谱、固定化金属亲和色谱和高精度质谱仪器的组合,来研究发育中的果蝇胚胎中的磷酸化。总共从2702种蛋白质中发现了13720个不同的磷酸化位点,在肽水平上估计的错误发现率(FDR)为0.63%。由于数据集规模较大,使用Motif-X算法提取了新的和已知的磷酸化基序,包括那些代表潜在有序磷酸化事件的基序。