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Detection of Unknown Chemical Adduct Modifications on Proteins: From Wet to Dry Laboratory

  • Paola Antinori
  • Théo Michelot
  • Pierre Lescuyer
  • Markus Müller
  • Adelina E. Acosta-MartinEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1977)

Abstract

The detection and characterization of chemical adducts on proteins is of increasing interest. Here, we described a step-by-step procedure to identify unknown chemical adduct modifications on proteins resulting from the interaction with a given reactive compound. The protocol can be divided into two equally important parts: (1) the wet laboratory work, to produce high quality mass spectrometry (MS) data of in vitro modified proteins and (2) the dry laboratory work, to analyze the generated MS data and provide highly confident qualitative and quantitative results on the chemical composition and amino acid localization of adducts. This protocol is applicable to the study of any pharmaceutical or chemical compound forming covalent protein adducts, detectable in LC-MS/MS experiments.

Key words

High-resolution mass spectrometry Bioinformatics Open modification search Protein adduct modification Dependent peptide search R script MaxQuant Busulfan Albumin Hemoglobin 

Notes

Acknowledgments

This study was supported by the Swiss Centre for Applied Human Toxicology and the Swiss National Science Foundation (grant No 32003B_143809). The authors would like to thank the Proteomics Core Facility of the University of Geneva for providing full access to the LTQ Orbitrap MS instrument.

None declared conflict of interest.

Supplementary material

418727_1_En_8_MOESM1_ESM.zip (4 kb)
plotZscore.R script file, plotPosition.R script file (ZIP 4 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Paola Antinori
    • 1
  • Théo Michelot
    • 2
  • Pierre Lescuyer
    • 3
  • Markus Müller
    • 4
  • Adelina E. Acosta-Martin
    • 5
    Email author
  1. 1.Department of Clinical Neurosciences, Faculty of MedicineUniversity of GenevaGenevaSwitzerland
  2. 2.School of Mathematics and StatisticsUniversity of SheffieldSheffieldUK
  3. 3.Department of Genetic and Laboratory MedicineGeneva University HospitalsGenevaSwitzerland
  4. 4.SIB-Swiss Institute of BioinformaticsUniversity of LausanneLausanneSwitzerland
  5. 5.biOMICS Biological Mass Spectrometry Facility, Faculty of Science Mass Spectrometry CentreUniversity of SheffieldSheffieldUK

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