Improved immobilized metal affinity chromatography for large-scale phosphoproteomics applications

被引:95
作者
Ndassa, Yasmine M.
Orsi, Chris
Marto, Jarrod A.
Chen, She
Ross, Mark M.
机构
[1] Harvard Univ, Dept Canc Biol, Sch Med,Biophys Program,Dept Biol Chem & Mol Phar, Dana Farber Canc Inst,Dept Biol Chem & Mol Pharma, Boston, MA 02115 USA
[2] Natl Inst Biol Sci, Proteom Facil, Beijing 102206, Peoples R China
[3] Univ Virginia, Mellon Med Biomarker Discovery Lab, Charlottesville, VA USA
关键词
immobilized metal affinity chromatography; phosphoproteomics;
D O I
10.1021/pr0602803
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Dysregulated protein phosphorylation is a primary culprit in multiple physiopathological states. Hence, although analysis of signaling cascades on a proteome-wide scale would provide significant insight into both normal and aberrant cellular function, such studies are simultaneously limited by sheer biological complexity and concentration dynamic range. In principle, immobilized metal affinity chromatography (IMAC) represents an ideal enrichment method for phosphoproteomics. However, anecdotal evidence suggests that this technique is not widely and successfully applied beyond analysis of simple standards, gel bands, and targeted protein immunoprecipitations. Here, we report significant improvements in IMAC-based methodology for enrichment of phosphopeptides from complex biological mixtures. Moreover, we provide detailed explanation for key variables that in our hands most influenced the outcome of these experiments. Our results indicate 5- to 10-fold improvement in recovery of singly- and multiply phosphorylated peptide standards in addition to significant improvement in the number of high-confidence phosphopeptide sequence assignments from global analysis of cellular lysate. In addition, we quantitatively track phosphopeptide recovery as a function of phosphorylation state, and provide guidance for impedance-matching IMAC column capacity with anticipated phosphopeptide content of complex mixtures. Finally, we demonstrate that our improved methodology provides for identification of phosphopeptide distributions that closely mimic physiological conditions.
引用
收藏
页码:2789 / 2799
页数:11
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