Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 401, Issue 1, Pages 149-165Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-011-5020-5
Keywords
MALDI mass spectrometry imaging; Principal component analysis; Symbolic discriminant analysis; Hierarchical clustering; Bottom-up; In-source decay; Biomarkers; Prostate cancer
Funding
- Centre National de la Recherche Scientifique (CNRS)
- Ministere de L'Education Nationale
- de L'Enseignement Superieur et de la Recherche
- Agence Nationale de la Recherche (ANR PCV)
- Institut du Cancer (INCA)
- Region Nord-Pas de Calais
- Canadian Institutes of Health Research (CIHR
- Ministere du Developpement Economique
- de l'Innovation et de l'Exportation (MDEIE) du Quebec
- Fonds de recherche en sante du Quebec (FRSQ)
Ask authors/readers for more resources
The large amount of data generated using matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) poses a challenge for data analysis. In fact, generally about 1.10(8)-1.10(9) values (m/z, I) are stored after a single MALDI-MSI experiment. This imposes processing techniques using dedicated informatics tools to be used since manual data interpretation is excluded. This work proposes and summarizes an approach that utilizes a multivariable analysis of MSI data. The multivariate analysis, such as principal component analysis-symbolic discriminant analysis, can remove and highlight specific m/z from the spectra in a specific region of interest. This approach facilitates data processing and provides better reproducibility, and thus, broadband acquisition for MALDI-MSI should be considered an effective tool to highlight biomarkers of interest. Additionally, we demonstrate the importance of the hierarchical classification of biomarkers by analyzing studies of clusters obtained either from digested or undigested tissues and using bottom-up and in-source decay strategies for in-tissue protein identification. This provides the possibility for the rapid identification of specific markers from different histological samples and their direct localization in tissues. We present an example from a prostate cancer study using formalin-fixed paraffin-embedded tissue.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available