Title: Prospective exploration of biochemical tissue composition via imaging mass spectrometry guided by principal component analysis
Authors: Van de Plas, Raf ×
Ojeda, Fabian
Dewil, Maarten
Van Den Bosch, Ludo
De Moor, Bart
Waelkens, Etienne #
Issue Date: 19-Nov-2007
Host Document: Pacific Symposium on Biocomputing pages:458-469
Conference: 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB) location:Vienna, Austria date:21-25 July 2007
Pacific Symposium on Biocomputing 12 (PSB) location:Maui, Hawaii date:Jan. 2007
Abstract: MALDI-based Imaging Mass Spectrometry (IMS) is an analytical technique that provides the opportunity to study the spatial distribution of biomolecules including proteins and peptides in organic tissue. IMS measures a large collection of mass spectra spread out over an organic tissue section and retains the absolute spatial location of these measurements for analysis and imaging. The classical approach to IMS imaging, producing univariate ion images, is not well suited as a first step in a prospective study where no a priori molecular target mass can be formulated. The main reasons for this are the size and the multivariate nature of IMS data. In this paper we describe the use of principal component analysis as a multivariate pre-analysis tool, to identify the major spatial and mass-related trends in the data and to guide further analysis downstream. First, a conceptual overview of principal component analysis for IMS is given. Then, we demonstrate the approach on an IMS data set collected from a transversal section of the spinal cord of a standard control rat.
Description: \emph{Proceedings of the Pacific Symposium on Biocomputing 12 (PSB)}, Maui, Hawaii, Jan. 2007
ISSN: 1793-5091
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Experimental Neurology
Laboratory of Protein Phosphorylation and Proteomics
Biochemistry Section (Medicine) (-)
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Laboratory for Neurobiology (Vesalius Research Center)
Laboratory of Phosphoproteomics (-)
× corresponding author
# (joint) last author

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