Study of proteomic changes associated with healthy and tumoral murine samples in neuroblastoma by principal component analysis and classification methods.
BACKGROUND
The adrenal gland is the election organ forming primary neuroblastoma (NB) tumours, the most common extracranial solid tumours of infancy and childhood.


METHODS
Samples of adrenal gland belonging to healthy and diseased nude mouse were analysed by 2D gel-electrophoresis. The resulting 2D-PAGE maps were digitized by PDQuest and investigated by principal component analysis (PCA).


RESULTS
The analysis of the loadings of the first principal component (PC) permitted the evaluation of the spots characterising each class of samples. Moreover, the soft-independent model of class analogy (SIMCA) method confirmed the separation of the samples in the two classes and allowed the identification of the modelling and discriminating spots. Very good correlation was found between the data obtained by analysis of 2D maps via the commercial software PDQuest and the present PCA analysis. In both cases, the comparison between such maps showed up- and down-regulation of 84 polypeptide chains, out of a total of 700 spots detected by a fluorescent stain, Sypro Ruby. Spots that were differentially expressed between the two groups were analysed by matrix-assisted laser desorption time-of-flight (MALDI-TOF) mass spectrometry and 14 of these spots were identified so far.
Marengo
Emilio
E
Department of Environmental and Life Sciences, University of Eastern Piedmont, Spalto Marengo 33-15100 Alessandria, Italy. emilio.marengo@mfn.unipmn.it
Robotti
Elisa
E
Righetti
Pier Giorgio
PG
Campostrini
Natascia
N
Pascali
Jennifer
J
Ponzoni
Mirko
M
Hamdan
Mahmoud
M
Astner
Hubert
H
D000818:Animals; D001932:Brain Neoplasms / Q000145:classification / Q000235:genetics*; D004591:Electrophoresis, Polyacrylamide Gel; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics; D006863:Hydrogen-Ion Concentration; D051379:Mice; D008819:Mice, Nude; D015233:Models, Statistical; D009447:Neuroblastoma / Q000145:classification / Q000235:genetics*; D025341:Principal Component Analysis; D040901:Proteomics; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization