Specific mixing facilitates the comparative quantification of phosphorylation sites with significant dysregulations

- All the proteins' relative abundances were adjusted into 2 orders of magnitude (1/9-9).
- The quantification accuracy and coverage of extreme proteins and protein phosphorylation sites had been improved.
- The newly expressed or disappeared proteins and protein phosphorylation sites could be accurately quantified.
- The number of quantified phosphorylation sites with more than 20 folds changes was improved about 10 times.

Mass spectrometry (MS) based quantitative analyses of proteome and proteome post-translational modifications (PTMs) play more and more important roles in biological, pharmaceutical and clinical studies. However, it is still a big challenge to accurately quantify the proteins or proteins PTM sites with extreme relative abundances in comparative protein samples, such as the significantly dysregulated ones. Herein, a novel quantification strategy, Mixing at Specific Ratio (MaSR) before isotope labeling, had been developed to improve the quantification accuracy and coverage of extreme proteins and protein phosphorylation sites. Briefly, the comparative protein samples were firstly mixed together at specific ratios of 9:1 and 1:9 (w/w), followed with mass differentiate light and heavy isotope labeling, respectively. The extreme proteins and protein phosphorylation sites, even if the newly expressed or disappeared ones, could be accurately quantified due to all of the proteins' relative abundances had been adjusted to 2 orders of magnitude (1/9-9) by this strategy. The number of quantified phosphorylation sites with more than 20 folds changes was improved about 10 times in comparative quantification of pervanadate stimulated phosphoproteome of HeLa cells, and 134 newly generated and 21 disappeared phosphorylation sites were solely quantified by the MaSR strategy. The significantly up-regulated phosphorylation sites were mainly involved in the key phosphoproteins regulating the insulin-related pathways, such as PI3K-AKT and RAS-MAPK pathways. Therefore, the MaSR strategy exhibits as a promising way in elucidating the biological processes with significant dysregulations.

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