Chapter 15. Quantitative MS-based Proteomics

  1. Ingvar Eidhammer1,
  2. Kristian Flikka1,
  3. Lennart Martens2 and
  4. Svein-Ole Mikalsen3

Published Online: 10 DEC 2007

DOI: 10.1002/9780470724309.ch15

Computational Methods for Mass Spectrometry Proteomics

Computational Methods for Mass Spectrometry Proteomics

How to Cite

Eidhammer, I., Flikka, K., Martens, L. and Mikalsen, S.-O. (2007) Quantitative MS-based Proteomics, in Computational Methods for Mass Spectrometry Proteomics, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470724309.ch15

Author Information

  1. 1

    University of Bergen, Norway

  2. 2

    European Bioinformatics Institute, Hinxton, Cambridge, UK

  3. 3

    The Norwegian Radium Hospital, Oslo, Norway

Publication History

  1. Published Online: 10 DEC 2007
  2. Published Print: 30 NOV 2007

ISBN Information

Print ISBN: 9780470512975

Online ISBN: 9780470724309

SEARCH

Keywords:

  • relative quantification and absolute quantification;
  • signal intensity normalization;
  • label-free peptide methods and label-based peptide methods;
  • peptide or protein peaks;
  • sample differentiation upon fragmentation

Summary

This chapter contains sections titled:

  • Defining the quantification task

  • mRNA and protein quantification

  • Quantification of peaks

  • Normalization

  • Different methods for quantification

  • Label-free quantification

  • Label-based quantification

  • Variance-stabilizing transformations

  • Dynamic range

  • Inferring relative quantity from peptide identification scores

  • Absolute quantification methods

  • Bibliographic notes