Reproducible Automated Phosphopeptide Enrichment Using Magnetic TiO2 and Ti-IMAC

被引:66
作者
Tape, Christopher J. [1 ,2 ]
Worboys, Jonathan D. [1 ]
Sinclair, John [1 ]
Gourlay, Robert [3 ]
Vogt, Janis [3 ]
McMahon, Kelly M. [4 ]
Trost, Matthias [3 ]
Lauffenburger, Douglas A. [2 ]
Lamont, Douglas J. [3 ]
Jorgensen, Claus [1 ,4 ]
机构
[1] Inst Canc Res, London SW3 6JB, England
[2] MIT, Dept Biol Engn, Cambridge, MA 02139 USA
[3] Univ Dundee, Coll Life Sci, FingerPrints Prote Facil, Dundee DD1 5EH, Scotland
[4] Univ Manchester, Canc Res UK Manchester Inst, Manchester M20 4BX, Lancs, England
基金
英国生物技术与生命科学研究理事会; 英国惠康基金;
关键词
HYDROPHILIC INTERACTION CHROMATOGRAPHY; PHOSPHOPROTEOMICS STRATEGY; SELECTIVE ISOLATION; ONCOGENIC KRAS; PHOSPHORYLATION; ROBUST; SEPARATION; CANCER; SIMAC;
D O I
10.1021/ac5025842
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Reproducible, comprehensive phosphopeptide enrichment is essential for studying phosphorylation-regulated processes. Here, we describe the application of hyper-porous magnetic TiO2 and Ti-IMAC microspheres for uniform automated phosphopeptide enrichment. Combining magnetic microspheres with a magnetic particle-handling robot enables rapid (45 min), reproducible (r(2) = 0.80) and high-fidelity (>90% purity) phosphopeptide purification in a 96-well format. Automated phosphopeptide enrichment demonstrates reproducible synthetic phosphopeptide recovery across 2 orders of magnitude, "well-to-well" quantitative reproducibility indistinguishable to internal SILAC standards, and robust "plate-to-plate" reproducibility across 5 days of independent enrichments. As a result, automated phosphopeptide enrichment enables statistical analysis of label-free phosphoproteomic samples in a high-throughput manner. This technique uses commercially available, off-the-shelf components and can be easily adopted by any laboratory interested in phosphoproteomic analysis. We provide a free downloadable automated phosphopeptide enrichment program to facilitate uniform interlaboratory collaboration and exchange of phosphoproteomic data sets.
引用
收藏
页码:10296 / 10302
页数:7
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