Literature DB >> 28821603

A Simple Light Isotope Metabolic Labeling (SLIM-labeling) Strategy: A Powerful Tool to Address the Dynamics of Proteome Variations In Vivo.

Thibaut Léger1, Camille Garcia1, Laetitia Collomb1, Jean-Michel Camadro2,3.   

Abstract

Many quantitative proteomics strategies rely on in vivo metabolic incorporation of amino acids with modified stable isotope profiles into proteins. These methods give rise to multiple ions for each peptide, with possible distortion of the isotopolog distribution, making the overall analytical process complex. We validated an alternative strategy, simple light isotope metabolic labeling (SLIM-labeling), which alleviates many of these problems. SLIM-labeling is based on the in vivo reduction of the isotopic composition of proteins using metabolic precursors with a unique light isotope composition to label all amino acids. This brings a new dimension to in-depth, high resolution MS-based quantitative proteomics. Here, we describe a 12C-based SLIM-labeling strategy using U-[12C]-glucose as the metabolic precursor of all amino acids in the pathogenic yeast Candida albicans Monoisotopic ion intensity increased exponentially following 12C enrichment, substantially improving peptide identification scores and protein sequence coverage in bottom-up analyses. Multiplexing samples of 12C composition varying from natural abundance (98.93%) to 100% makes it possible to address relative quantification issues, keeping all the critical information for each peptide within a single isotopolog cluster. We applied this method to measure, for the first time, protein turnover at the proteome scale in Candida albicans and its modulation by inhibitors of the proteasome and vacuolar protein degradation systems.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2017        PMID: 28821603      PMCID: PMC5672006          DOI: 10.1074/mcp.M117.066936

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  38 in total

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Authors:  Marie-Bénédicte Barrault; Nicolas Richet; Chloe Godard; Brice Murciano; Benoît Le Tallec; Erwann Rousseau; Pierre Legrand; Jean-Baptiste Charbonnier; Marie-Hélène Le Du; Raphaël Guérois; Françoise Ochsenbein; Anne Peyroche
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-29       Impact factor: 11.205

2.  Systematic evaluation of label-free and super-SILAC quantification for proteome expression analysis.

Authors:  Andreas Tebbe; Martin Klammer; Stefanie Sighart; Christoph Schaab; Henrik Daub
Journal:  Rapid Commun Mass Spectrom       Date:  2015-05-15       Impact factor: 2.419

3.  Amino acid and vitamin requirements in mammalian cultured cells.

Authors:  K Yamamoto; A Niwa
Journal:  Amino Acids       Date:  1993-02       Impact factor: 3.520

4.  The relative rates of protein synthesis and degradation in a growing culture of Escherichia coli.

Authors:  K L Larrabee; J O Phillips; G J Williams; A R Larrabee
Journal:  J Biol Chem       Date:  1980-05-10       Impact factor: 5.157

5.  Dynamic 13C-labeling experiments prove important differences in protein turnover rate between two Saccharomyces cerevisiae strains.

Authors:  Kuk-Ki Hong; Jin Hou; Saeed Shoaie; Jens Nielsen; Sergio Bordel
Journal:  FEMS Yeast Res       Date:  2012-07-20       Impact factor: 2.796

6.  Counting individual sulfur atoms in a protein by ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry: experimental resolution of isotopic fine structure in proteins.

Authors:  S D Shi; C L Hendrickson; A G Marshall
Journal:  Proc Natl Acad Sci U S A       Date:  1998-09-29       Impact factor: 11.205

7.  Autophagic Turnover of Inactive 26S Proteasomes in Yeast Is Directed by the Ubiquitin Receptor Cue5 and the Hsp42 Chaperone.

Authors:  Richard S Marshall; Fionn McLoughlin; Richard D Vierstra
Journal:  Cell Rep       Date:  2016-07-28       Impact factor: 9.423

8.  Molecular Isotopic Distribution Analysis (MIDAs) with adjustable mass accuracy.

Authors:  Gelio Alves; Aleksey Y Ogurtsov; Yi-Kuo Yu
Journal:  J Am Soc Mass Spectrom       Date:  2013-11-20       Impact factor: 3.109

9.  Intrinsically disordered segments affect protein half-life in the cell and during evolution.

Authors:  Robin van der Lee; Benjamin Lang; Kai Kruse; Jörg Gsponer; Natalia Sánchez de Groot; Martijn A Huynen; Andreas Matouschek; Monika Fuxreiter; M Madan Babu
Journal:  Cell Rep       Date:  2014-09-15       Impact factor: 9.423

10.  2016 update of the PRIDE database and its related tools.

Authors:  Juan Antonio Vizcaíno; Attila Csordas; Noemi del-Toro; José A Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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  4 in total

1.  Quantitative Proteomics in Yeast : From bSLIM and Proteome Discoverer Outputs to Graphical Assessment of the Significance of Protein Quantification Scores.

Authors:  Nicolas Sénécaut; Pierre Poulain; Laurent Lignières; Samuel Terrier; Véronique Legros; Guillaume Chevreux; Gaëlle Lelandais; Jean-Michel Camadro
Journal:  Methods Mol Biol       Date:  2022

2.  Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling.

Authors:  Rovshan G Sadygov
Journal:  J Proteome Res       Date:  2021-03-04       Impact factor: 4.466

3.  Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer Dynamics.

Authors:  Rovshan G Sadygov
Journal:  Anal Chem       Date:  2020-10-21       Impact factor: 6.986

4.  Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to assess data reproducibility.

Authors:  Gaëlle Lelandais; Thomas Denecker; Camille Garcia; Nicolas Danila; Thibaut Léger; Jean-Michel Camadro
Journal:  BMC Res Notes       Date:  2019-08-01
  4 in total

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