Literature DB >> 24144020

Accurate determination of peptide phosphorylation stoichiometry via automated diagonal capillary electrophoresis coupled with mass spectrometry: proof of principle.

Si Mou1, Liangliang Sun, Norman J Dovichi.   

Abstract

While reversible protein phosphorylation plays an important role in many cellular processes, simple and reliable measurement of the stoichiometry of phosphorylation can be challenging. This measurement is confounded by differences in the ionization efficiency of phosphorylated and unphosphorylated sites during analysis by mass spectrometry. Here, we demonstrate diagonal capillary electrophoresis-mass spectrometry for the accurate determination of this stoichiometry. Diagonal capillary electrophoresis is a two-dimensional separation method that incorporates an immobilized alkaline phosphatase microreactor at the distal end of the first capillary and employs identical electrophoretic separation modes in both dimensions. The first dimension is used to separate a mixture of the phosphorylated and unphosphorylated forms of a peptide. Fractions are parked in the reactor where they undergo complete dephosphorylation. The products are then periodically transferred to the second capillary and analyzed by mass spectrometry (MS). Because the phosphorylated and unphosphorylated forms differ in charge, they are well resolved in the first dimension separation. Because the unphosphorylated and dephosphorylated peptides are identical, there is no bias in ionization efficiency, and phosphorylation stoichiometry can be determined by the ratio of the signal of the two forms. A calibration curve was generated from mixtures of a phosphorylated standard peptide and its unphosphorylated form, prepared in a bovine serum albumin tryptic digest. This proof of principle experiment demonstrated a linear response across nearly 2 orders of magnitude in stoichiometry.

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Year:  2013        PMID: 24144020      PMCID: PMC3873722          DOI: 10.1021/ac402858a

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


  32 in total

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Authors:  Matthias Mann; Shao En Ong; Mads Grønborg; Hanno Steen; Ole N Jensen; Akhilesh Pandey
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3.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

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4.  Identification and mapping of DNA binding proteins target sequences in long genomic regions by two-dimensional EMSA.

Authors:  Igor P Chernov; Sergey B Akopov; Lev G Nikolaev; Eugene D Sverdlov
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5.  A practical recipe for stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  Shao-En Ong; Matthias Mann
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

6.  CE-microreactor-CE-MS/MS for protein analysis.

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Journal:  Anal Chem       Date:  2007-02-13       Impact factor: 6.986

7.  Identification of tissue-specific DNA-protein binding sites by means of two-dimensional electrophoretic mobility shift assay display.

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Authors:  T Radimerski; T Mini; U Schneider; R E Wettenhall; G Thomas; P Jenö
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  4 in total

1.  Coupling capillary zone electrophoresis with electron transfer dissociation and activated ion electron transfer dissociation for top-down proteomics.

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Journal:  Anal Chem       Date:  2015-05-06       Impact factor: 6.986

Review 2.  Recent trends of capillary electrophoresis-mass spectrometry in proteomics research.

Authors:  Fabio P Gomes; John R Yates
Journal:  Mass Spectrom Rev       Date:  2019-08-12       Impact factor: 10.946

3.  Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry for quantitative parallel reaction monitoring of peptide abundance and single-shot proteomic analysis of a human cell line.

Authors:  Liangliang Sun; Guijie Zhu; Si Mou; Yimeng Zhao; Matthew M Champion; Norman J Dovichi
Journal:  J Chromatogr A       Date:  2014-07-17       Impact factor: 4.759

4.  Direct and Absolute Quantification of over 1800 Yeast Proteins via Selected Reaction Monitoring.

Authors:  Craig Lawless; Stephen W Holman; Philip Brownridge; Karin Lanthaler; Victoria M Harman; Rachel Watkins; Dean E Hammond; Rebecca L Miller; Paul F G Sims; Christopher M Grant; Claire E Eyers; Robert J Beynon; Simon J Hubbard
Journal:  Mol Cell Proteomics       Date:  2016-01-10       Impact factor: 5.911

  4 in total

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