Methods and algorithms for quantitative proteomics by mass spectrometry

• Published in: Methods in molecular biology (Clifton, N.J.) Vol. 1007; p. 183
• Main Authors: Matthiesen, Rune, Carvalho, Ana Sofia
• Format: Journal Article
• Language: English
• Published: United States 2013
• Subjects: Algorithms; Mass Spectrometry - methods; Peptides - analysis; Protein Processing, Post-Translational; Proteins - analysis; Proteins - chemistry; Proteomics - methods
• ISSN: 1940-6029
• DOI: 10.1007/978-1-62703-392-3_8

Protein quantitation by mass spectrometry (MS) is attractive since it is possible to obtain both identification and quantitative values of proteins and their posttranslational modifications in a single experiment. In contrast, protein arrays only provide quantitative values of targeted proteins and their modifications. There are an overwhelming number of quantitative MS methods for protein and peptide quantitation. The aim here is to provide an overview of the most common MS methods and algorithms used in quantitative proteomics and discuss the computational algorithms needed to reliably quantitate proteins, peptides, and their posttranslational modifications. One of the main challenges in data analysis of many experimental projects is to pipe together a number of software solutions that are either commercial or freely available. The aim of this chapter is to provide a good set of algorithms, ideas, and resources that can easily be implemented in scripting language like R, Python, or Perl. By understanding the algorithmic ideas presented here, data from any instrument or modified experimental protocol can be analyzed and is therefore in the authors' opinion more valuable than a black box concept.