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False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform.

Publication ,  Journal Article
Strickland, EC; Geer, MA; Hong, J; Fitzgerald, MC
Published in: Journal of the American Society for Mass Spectrometry
January 2014

Detection and quantitation of protein-ligand binding interactions is important in many areas of biological research. Stability of proteins from rates of oxidation (SPROX) is an energetics-based technique for identifying the proteins targets of ligands in complex biological mixtures. Knowing the false-positive rate of protein target discovery in proteome-wide SPROX experiments is important for the correct interpretation of results. Reported here are the results of a control SPROX experiment in which chemical denaturation data is obtained on the proteins in two samples that originated from the same yeast lysate, as would be done in a typical SPROX experiment except that one sample would be spiked with the test ligand. False-positive rates of 1.2-2.2% and <0.8% are calculated for SPROX experiments using Q-TOF and Orbitrap mass spectrometer systems, respectively. Our results indicate that the false-positive rate is largely determined by random errors associated with the mass spectral analysis of the isobaric mass tag (e.g., iTRAQ®) reporter ions used for peptide quantitation. Our results also suggest that technical replicates can be used to effectively eliminate such false positives that result from this random error, as is demonstrated in a SPROX experiment to identify yeast protein targets of the drug, manassantin A. The impact of ion purity in the tandem mass spectral analyses and of background oxidation on the false-positive rate of protein target discovery using SPROX is also discussed.

Duke Scholars

Published In

Journal of the American Society for Mass Spectrometry

DOI

EISSN

1879-1123

ISSN

1044-0305

Publication Date

January 2014

Volume

25

Issue

1

Start / End Page

132 / 140

Related Subject Headings

  • Thermodynamics
  • Saccharomyces cerevisiae
  • Reproducibility of Results
  • Proteomics
  • Proteins
  • Protein Binding
  • Models, Chemical
  • Mass Spectrometry
  • Lignans
  • Ligands
 

Citation

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ICMJE
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Strickland, E. C., Geer, M. A., Hong, J., & Fitzgerald, M. C. (2014). False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform. Journal of the American Society for Mass Spectrometry, 25(1), 132–140. https://doi.org/10.1007/s13361-013-0754-2
Strickland, Erin C., M Ariel Geer, Jiyong Hong, and Michael C. Fitzgerald. “False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform.Journal of the American Society for Mass Spectrometry 25, no. 1 (January 2014): 132–40. https://doi.org/10.1007/s13361-013-0754-2.
Strickland EC, Geer MA, Hong J, Fitzgerald MC. False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform. Journal of the American Society for Mass Spectrometry. 2014 Jan;25(1):132–40.
Strickland, Erin C., et al. “False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform.Journal of the American Society for Mass Spectrometry, vol. 25, no. 1, Jan. 2014, pp. 132–40. Epmc, doi:10.1007/s13361-013-0754-2.
Strickland EC, Geer MA, Hong J, Fitzgerald MC. False-positive rate determination of protein target discovery using a covalent modification- and mass spectrometry-based proteomics platform. Journal of the American Society for Mass Spectrometry. 2014 Jan;25(1):132–140.
Journal cover image

Published In

Journal of the American Society for Mass Spectrometry

DOI

EISSN

1879-1123

ISSN

1044-0305

Publication Date

January 2014

Volume

25

Issue

1

Start / End Page

132 / 140

Related Subject Headings

  • Thermodynamics
  • Saccharomyces cerevisiae
  • Reproducibility of Results
  • Proteomics
  • Proteins
  • Protein Binding
  • Models, Chemical
  • Mass Spectrometry
  • Lignans
  • Ligands