Literature DB >> 15276448

Subtle modification of isotope ratio proteomics; an integrated strategy for expression proteomics.

Julian P Whitelegge1, Jonathan E Katz, Katianna A Pihakari, Rebecca Hale, Rodrigo Aguilera, Stephen M Gómez, Kym F Faull, Dmitrii Vavilin, Willem Vermaas.   

Abstract

Use of minor modification of isotope ratio to code samples for expression proteomics is being investigated. Alteration of (13)C abundance to approximately 2% yields a measurable effect on peptide isotopic distribution and inferred isotope ratio. Elevation of (13)C abundance to 4% leads to extension of isotopic distribution and background peaks across every unit of the mass range. Assessment of isotope ratio measurement variability suggests substantial contributions from natural measurement variability. A better understanding of this variable will allow assessment of the contribution of sequence dependence. Both variables must be understood before meaningful mixing experiments for relative expression proteomics are performed. Subtle modification of isotope ratio ( approximately 1-2% increase in (13)C) had no effect upon either the ability of data-dependent acquisition software or database searching software to trigger tandem mass spectrometry or match MSMS data to peptide sequences. More severe modification of isotope ratio caused a significant drop in performance of both functionalities. Development of software for deconvolution of isotope ratio concomitant with protein identification using LC-MSMS, or any other proteomics strategy, is underway (Isosolv). The identified peptide sequence is then be used to provide elemental composition for accurate isotope ratio decoding and the potential to control for specific amino acid biases should these prove significant. It is suggested that subtle modification of isotope ratio proteomics (SMIRP) offers a convenient approach to in vivo isotope coding of plants and might ultimately be extended to mammals including humans.

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Year:  2004        PMID: 15276448     DOI: 10.1016/j.phytochem.2004.05.018

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  12 in total

1.  Quantitative proteomics in plants: choices in abundance.

Authors:  Jay J Thelen; Scott C Peck
Journal:  Plant Cell       Date:  2007-11-30       Impact factor: 11.277

2.  Measuring proteome dynamics in vivo: as easy as adding water?

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Journal:  Mol Cell Proteomics       Date:  2009-09-01       Impact factor: 5.911

3.  Quantitative proteomics by metabolic labeling of model organisms.

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Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

4.  Hydrophobic Fractionation Enhances Novel Protein Detection by Mass Spectrometry in Triple Negative Breast Cancer.

Authors:  Ming Lu; Julian P Whitelegge; Stephen A Whelan; Jianbo He; Romaine E Saxton; Kym F Faull; Helena R Chang
Journal:  J Proteomics Bioinform       Date:  2010-01-22

5.  Heavy Sugar and Heavy Water Create Tunable Intact Protein Mass Increases for Quantitative Mass Spectrometry in Any Feed and Organism.

Authors:  Jeniffer V Quijada; Nicholas D Schmitt; Joseph P Salisbury; Jared R Auclair; Jeffrey N Agar
Journal:  Anal Chem       Date:  2016-10-28       Impact factor: 6.986

6.  Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase.

Authors:  Zhu Yang; Guangyu Guo; Manyu Zhang; Claire Y Liu; Qin Hu; Henry Lam; Han Cheng; Yu Xue; Jiayang Li; Ning Li
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

7.  Hydrophobic Proteome Analysis of Triple Negative and Hormone-Receptor-Positive-Her2-Negative Breast Cancer by Mass Spectrometer.

Authors:  Ming Lu; Stephen A Whelan; Jianbo He; Romaine E Saxton; Kym F Faull; Julian P Whitelegge; Helena R Chang
Journal:  Clin Proteomics       Date:  2010-09-07       Impact factor: 3.988

8.  Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling.

Authors:  Clark J Nelson; Ralitza Alexova; Richard P Jacoby; A Harvey Millar
Journal:  Plant Physiol       Date:  2014-07-31       Impact factor: 8.340

9.  Detergent-insoluble aggregates associated with amyotrophic lateral sclerosis in transgenic mice contain primarily full-length, unmodified superoxide dismutase-1.

Authors:  Bryan F Shaw; Herman L Lelie; Armando Durazo; Aram M Nersissian; Guillan Xu; Pik K Chan; Edith B Gralla; Ashutosh Tiwari; Lawrence J Hayward; David R Borchelt; Joan S Valentine; Julian P Whitelegge
Journal:  J Biol Chem       Date:  2008-01-11       Impact factor: 5.157

10.  Discovery and validation of colonic tumor-associated proteins via metabolic labeling and stable isotopic dilution.

Authors:  Edward L Huttlin; Xiaodi Chen; Gregory A Barrett-Wilt; Adrian D Hegeman; Richard B Halberg; Amy C Harms; Michael A Newton; William F Dove; Michael R Sussman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-23       Impact factor: 11.205

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