Proteomics

Dataset Information

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Improved MS-based proteomics by the reduction of isotopic composition in vivo


ABSTRACT: Reducing the isotopic composition of proteins in vivo improves in-depth, high resolution MS-based quantitative proteomics. We used U-[12C]-glucose as the metabolic precursor of all amino acids in yeast. This substantially increased the peptide monoisotopic ion intensity in bottom-up analyses, greatly improving identification scores and protein sequence coverage, and making it possible to address the dynamics of protein turnover at the proteome scale.

INSTRUMENT(S): Orbitrap Fusion ETD

ORGANISM(S): Candida Albicans (yeast)

TISSUE(S): Diploid Cell

SUBMITTER: Thibaut Léger  

LAB HEAD: Jean-Michel Camadro

PROVIDER: PXD005364 | Pride | 2017-08-24

REPOSITORIES: Pride

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Publications

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

Léger Thibaut T   Garcia Camille C   Collomb Laetitia L   Camadro Jean-Michel JM  

Molecular & cellular proteomics : MCP 20170818 11


Many quantitative proteomics strategies rely on <i>in vivo</i> 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 <i>in vivo</i> r  ...[more]

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