Literature DB >> 21902226

Improvement of the quantification accuracy and throughput for phosphoproteome analysis by a pseudo triplex stable isotope dimethyl labeling approach.

Chunxia Song1, Fangjun Wang, Mingliang Ye, Kai Cheng, Rui Chen, Jun Zhu, Yexiong Tan, Hongyang Wang, Daniel Figeys, Hanfa Zou.   

Abstract

Accurately quantifying the changes of phosphorylation level on specific sites is crucial to understand the role of protein phosphorylation in physiological and pathological processes. Here, a pseudo triplex stable isotope dimethyl labeling approach was developed to improve the accuracy and the throughput of comprehensive quantitative phosphoproteome analyses. In this strategy, two identical samples are labeled with light and heavy isotopes, respectively, while another comparative sample is labeled with an intermediate isotope. Two replicated quantification results were achieved in just one experiment, and the relative standard deviation (RSD) criterion was used to control the quantification accuracy. Compared with the conventional duplex labeling approach, the number of quantified phosphopeptides increased nearly 50% and the experimental time was reduced by 50% under the same quantification accuracy. Combined with the automated online reversed phase-strong cation exchange-reversed phase (RP-SCX-RP) multidimensional separation system, a comparative phosphoproteome analysis of hepatocellular carcinoma (HCC) and normal human liver tissues was performed. Over 1800 phosphopeptides corresponding to ~2000 phosphorylation sites were quantified reliably in a 42 h multidimensional analysis. The pro-directed motifs, which were mainly associated with the extracellular signal-regulated kinases (ERKs), were observed as being overrepresented in the regulated phosphorylation sites, and some quantification results of phosphorylation sites were validated by the other studies. Therefore, this pseudo triplex labeling approach was demonstrated as a promising alternative for the comprehensive quantitative phosphoproteome analysis.
© 2011 American Chemical Society

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Year:  2011        PMID: 21902226     DOI: 10.1021/ac201299j

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  13 in total

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Review 3.  Stable isotope dimethyl labelling for quantitative proteomics and beyond.

Authors:  Jue-Liang Hsu; Shu-Hui Chen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

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Authors:  Eva Dazert; Marco Colombi; Tujana Boldanova; Suzette Moes; David Adametz; Luca Quagliata; Volker Roth; Luigi Terracciano; Markus H Heim; Paul Jenoe; Michael N Hall
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

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Journal:  Anal Chim Acta       Date:  2017-03-16       Impact factor: 6.558

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10.  Differential analysis of N-glycoproteome between hepatocellular carcinoma and normal human liver tissues by combination of multiple protease digestion and solid phase based labeling.

Authors:  Zhen Sun; Deguang Sun; Fangjun Wang; Kai Cheng; Zhang Zhang; Bo Xu; Mingliang Ye; Liming Wang; Hanfa Zou
Journal:  Clin Proteomics       Date:  2014-07-01       Impact factor: 3.988

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