iTRAQ data interpretation.
Quantitative proteomic analysis can help elucidating unexplored biological questions; it, however, relies on highly reproducible experiments and reliable data processing. Among the existing strategies, iTRAQ is known as an easy to use method allowing relative comparison of up to eight multiplexed samples.Once the data is acquired it is important that the final protein quantification reflects the actual amounts in the samples. Data interpretation must thus be achieved with a constant focus on quality. Here, we describe a workflow for processing iTRAQ data in user-friendly environments with emphasis on quality control.
Leibniz-Institut für Analytische Wissenschaften, ISAS-e.V., Dortmund, Germany.
Marc
M
Vaudel
Julia Maria
JM
Burkhart
René Peiman
RP
Zahedi
Lennart
L
Martens
Albert
A
Sickmann
D003627:Data Interpretation, Statistical; D013058:Mass Spectrometry; D010446:Peptide Fragments / Q000737:chemistry; D010449:Peptide Mapping; D040901:Proteomics; D012984:Software
D010446:Peptide Fragments