Phosphorylation site mapping of endogenous proteins

A combined MS and bioinformatics approach

Jeffrey Sundstrom, Christopher J. Sundstrom, Scott A. Sundstrom, Patrice E. Fort, Richard L.H. Rauscher, Thomas W. Gardner, David A. Antonetti

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We present a novel approach that combines MALDI-TOF profile analysis and bioinformatics-based inclusion criteria to comprehensively predict phosphorylation sites on a single protein of interest from limiting sample. It is technologically difficult to unambiguously identify phosphorylated residues, as many physiologically important phosphorylation sites are of too low abundance in vivo to be unambiguously assigned by mass spectrometry. Conversely, phosphorylation site prediction algorithms, while increasingly accurate, nevertheless overestimate the number of phosphorylation sites. In this study, we show that MODICAS, an MS data management and analysis tool, can be effectively merged with the bioinformatics attributes of residue conservation and phosphosite prediction to generate a short list of putative phosphorylation sites that can be subsequently verified by additional methodologies such as phosphospecific antibodies or mutational analysis. Therefore, the combination of MODICAS driven MS data analysis with bioinformatics-based filtering represents a substantial increase in the ability to putatively identify physiologically relevant phosphosites from limited starting material.

Original languageEnglish (US)
Pages (from-to)798-807
Number of pages10
JournalJournal of Proteome Research
Volume8
Issue number2
DOIs
StatePublished - Feb 1 2009

Fingerprint

Phosphorylation
Staphylococcal Protein A
Bioinformatics
Computational Biology
Phospho-Specific Antibodies
Matrix-Assisted Laser Desorption-Ionization Mass Spectrometry
Information management
Mass spectrometry
Conservation
Mass Spectrometry
Proteins

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Chemistry(all)

Cite this

Sundstrom, J., Sundstrom, C. J., Sundstrom, S. A., Fort, P. E., Rauscher, R. L. H., Gardner, T. W., & Antonetti, D. A. (2009). Phosphorylation site mapping of endogenous proteins: A combined MS and bioinformatics approach. Journal of Proteome Research, 8(2), 798-807. https://doi.org/10.1021/pr8005556
Sundstrom, Jeffrey ; Sundstrom, Christopher J. ; Sundstrom, Scott A. ; Fort, Patrice E. ; Rauscher, Richard L.H. ; Gardner, Thomas W. ; Antonetti, David A. / Phosphorylation site mapping of endogenous proteins : A combined MS and bioinformatics approach. In: Journal of Proteome Research. 2009 ; Vol. 8, No. 2. pp. 798-807.
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Sundstrom, J, Sundstrom, CJ, Sundstrom, SA, Fort, PE, Rauscher, RLH, Gardner, TW & Antonetti, DA 2009, 'Phosphorylation site mapping of endogenous proteins: A combined MS and bioinformatics approach', Journal of Proteome Research, vol. 8, no. 2, pp. 798-807. https://doi.org/10.1021/pr8005556

Phosphorylation site mapping of endogenous proteins : A combined MS and bioinformatics approach. / Sundstrom, Jeffrey; Sundstrom, Christopher J.; Sundstrom, Scott A.; Fort, Patrice E.; Rauscher, Richard L.H.; Gardner, Thomas W.; Antonetti, David A.

In: Journal of Proteome Research, Vol. 8, No. 2, 01.02.2009, p. 798-807.

Research output: Contribution to journalArticle

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AU - Antonetti, David A.

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