Title: A computational platform for MALDI-TOF mass spectrometry data: application to serum and plasma samples
Authors: Mantini, Dante
Petrucci, Francesca
Pieragostino, Damiana
Del Boccio, Piero
Sacchetta, Paolo
Candiano, Giovanni
Ghiggeri, Gian Marco
Lugaresi, Alessandra
Federici, Giorgio
Di Ilio, Carmine
Urbani, Andrea # ×
Issue Date: Jan-2010
Publisher: Elsevier BV
Series Title: Journal of Proteomics vol:73 issue:3 pages:562-570
Abstract: Background: Mass spectrometry (MS) is becoming the gold standard for biomarker discovery. Several MS-based bioinformatics methods have been proposed for this application, but the divergence of the findings by different research groups on the same MS data suggests that the definition of a reliable method has not been achieved yet. In this work, we propose an integrated software platform, MASCAP, intended for comparative biomarker detection from MALDI-TOF MS data.
Results: MASCAP integrates denoising and feature extraction algorithms, which have already shown to provide consistent peaks across mass spectra; furthermore, it relies on statistical analysis and graphical tools to compare the results between groups. The effectiveness in mass spectrum processing is demonstrated using MALDI-TOF data, as well as SELDI-TOF data. The usefulness in detecting potential protein biomarkers is shown comparing MALDI-TOF mass spectra collected from serum and plasma samples belonging to the same clinical population.
Conclusions: The analysis approach implemented in MASCAP may simplify biomarker detection, by assisting the recognition of proteomic expression signatures of the disease. A MATLAB implementation of the software and the data used for its validation are available at
ISSN: 1874-3919
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

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