SILIP: a novel stable isotope labeling method for in planta quantitative proteomic analysis

被引:58
|
作者
Schaff, Jennifer E. [1 ]
Mbeunkui, Flaubert [2 ]
Blackburn, Kevin [2 ]
Bird, David McK. [1 ]
Goshe, Michael B. [2 ]
机构
[1] N Carolina State Univ, Dept Plant Pathol, Ctr Biol Nematode Parasitism, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Mol & Struct Biochem, Raleigh, NC 27695 USA
基金
美国国家科学基金会; 美国农业部;
关键词
plant proteomics; quantitative analysis; mass spectrometry; liquid chromatography; isotope-coded; isotope ratio;
D O I
10.1111/j.1365-313X.2008.03639.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Due to ease of manipulation, metabolic isotope coding of samples for proteomic analysis is typically performed in cell culture, thus preventing an accurate in vivo quantitative analysis, which is only achievable in intact organisms. To address this issue in plant biology, we developed SILIP (stable isotope labeling in planta) using tomato plants (Solanum lycopersicum cv. Rutgers) as a method that allows soil-grown plants to be efficiently labeled using a N-14/N-15 isotope coding strategy. After 2 months of growth on N-14- and N-15-enriched nitrogen sources, proteins were extracted from four distinct tomato tissues (roots, stems, leaves and flowers), digested, and analyzed by LC/MS/MS (data-dependent acquisition, DDA) and alternating low- and elevated-energy MS scans (data-independent acquisition, MSE). Using a derived relationship to generate a theoretical standard curve, the measured ratio of the M(monoisotopic) and M-1 isotopologues of 70 identified N-15-labeled peptides from 16 different proteins indicated that N-15 incorporation was almost 99%, which is in excellent agreement with the 99.3% 15N-enriched nitrate used in the soil-based medium. Values for the various tissues ranged from 98.2 +/- 0.3% N-15 incorporation in leaves to 98.8 +/- 0.2% in stems, demonstrating uniform labeling throughout the plant. In addition, SILIP is compatible with root-knot nematode (Meloidogyne spp.) development, and thus provides a new quantitative proteomics tool to study both plant and plant-microorganism systems.
引用
收藏
页码:840 / 854
页数:15
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