Literature DB >> 16316172

Measurement of the isotope enrichment of stable isotope-labeled proteins using high-resolution mass spectra of peptides.

Michael J MacCoss1, Christine C Wu, Dwight E Matthews, John R Yates.   

Abstract

Stable isotope-enriched molecules are used as internal standards and as tracers of in vivo substrate metabolism. The accurate conversion of measured ratios in the mass spectrometer to mole ratios is complicated because a polyatomic molecule containing enriched atoms will result in a combinatorial distribution of isotopomers depending on the enrichment and number of "labeled" atoms. This effect could potentially cause a large error in the mole ratio measurement depending on which isotope peak or peaks were used to determine the ratio. We report a computational method that predicts isotope distributions over a range of enrichments and compares the predicted distributions to experimental peptide isotope distributions obtained by Fourier transform ion cyclotron resonance mass spectrometry. Our approach is accurate with measured enrichments within 1.5% of expected isotope distributions. The method is also precise with 4.9, 2.0, and 0.8% relative standard deviations for peptides containing 59, 79, and 99 atom % excess (15)N, respectively. The approach is automated making isotope enrichment calculations possible for thousands of peptides in a single muLC-FTICR-MS experiment.

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Year:  2005        PMID: 16316172     DOI: 10.1021/ac0508393

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


  39 in total

1.  Extremely long-lived nuclear pore proteins in the rat brain.

Authors:  Jeffrey N Savas; Brandon H Toyama; Tao Xu; John R Yates; Martin W Hetzer
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2.  Quantitative determination of isotope ratios from experimental isotopic distributions.

Authors:  Parminder Kaur; Peter B O'Connor
Journal:  Anal Chem       Date:  2007-02-01       Impact factor: 6.986

3.  Untargeted analysis of mass spectrometry data for elucidation of metabolites and function of enzymes.

Authors:  Raymundo Sanchez-Ponce; F Peter Guengerich
Journal:  Anal Chem       Date:  2007-04-05       Impact factor: 6.986

4.  15N metabolic labeling of mammalian tissue with slow protein turnover.

Authors:  Daniel B McClatchy; Meng-Qiu Dong; Christine C Wu; John D Venable; John R Yates
Journal:  J Proteome Res       Date:  2007-03-22       Impact factor: 4.466

5.  Quantification of the synaptosomal proteome of the rat cerebellum during post-natal development.

Authors:  Daniel B McClatchy; Lujian Liao; Sung Kyu Park; John D Venable; John R Yates
Journal:  Genome Res       Date:  2007-08-03       Impact factor: 9.043

6.  Relative quantification of stable isotope labeled peptides using a linear ion trap-Orbitrap hybrid mass spectrometer.

Authors:  John D Venable; James Wohlschlegel; Daniel B McClatchy; Sung Kyu Park; John R Yates
Journal:  Anal Chem       Date:  2007-03-17       Impact factor: 6.986

7.  High-speed data reduction, feature detection, and MS/MS spectrum quality assessment of shotgun proteomics data sets using high-resolution mass spectrometry.

Authors:  Michael R Hoopmann; Gregory L Finney; Michael J MacCoss
Journal:  Anal Chem       Date:  2007-06-21       Impact factor: 6.986

8.  Quantitative analysis of isotope distributions in proteomic mass spectrometry using least-squares Fourier transform convolution.

Authors:  Edit Sperling; Anne E Bunner; Michael T Sykes; James R Williamson
Journal:  Anal Chem       Date:  2008-06-04       Impact factor: 6.986

9.  Application of Proteomic Analysis to Renal Disease in the Clinic.

Authors:  Bruce A Julian; Hitoshi Suzuki; Goce Spasovski; Yusuke Suzuki; Yasuhiko Tomino; Jan Novak
Journal:  Proteomics Clin Appl       Date:  2009-01-01       Impact factor: 3.494

10.  Quantitative analysis of brain nuclear phosphoproteins identifies developmentally regulated phosphorylation events.

Authors:  Lujian Liao; Daniel B McClatchy; Sung Kyu Park; Tao Xu; Bingwen Lu; John R Yates
Journal:  J Proteome Res       Date:  2008-09-30       Impact factor: 4.466

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