Data processing methods and quality control strategies for label-free LC-MS protein quantification.

Summary, in English

Protein quantification using different LC-MS techniques is becoming a standard practice. However, with a multitude of experimental setups to choose from, as well as a wide array of software solutions for subsequent data processing, it is non-trivial to select the most appropriate workflow for a given biological question. In this review, we highlight different issues that need to be addressed by software for quantitative LC-MS experiments and describe different approaches that are available. With focus on label-free quantification, examples are discussed both for LC-MS/MS and LC-SRM data processing. We further elaborate on current quality control methodology for performing accurate protein quantification experiments. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era.

• Author: Marianne Sandin; Johan Teleman; Johan Malmström; Fredrik Levander
• Department/s: Department of Immunotechnology; Infection Medicine Proteomics
• Publishing year: 2014
• Language: English
• Pages: 29-41
• Publication/Series: Biochimica et Biophysica Acta
• Volume: 1844
• Issue: 1
• Links: http://dx.doi.org/10.1016/j.bbapap.2013.03.026
• Document type: Journal article review
• Publisher: Elsevier
• Topic: Biological Sciences
• Status: Published
• Research group: Infection Medicine Proteomics
• ISBN/ISSN/Other: ISSN: 0006-3002