title: The main biological determinants of tumor line taxonomy elucidated by a principal component analysis of microarray data.
abstract: By using principal components analysis (PCA) we demonstrate here that the information relevant to tumor line classification linked to the activity of 1375 genes expressed in 60 tumor cell lines can be reproduced by only five independent components. These components can be interpreted as cell motility and migration, cellular trafficking and endo/exocytosis, and epithelial character. PCA, at odds with cluster analysis methods routinely used in microarray analysis, allows for the participation of individual genes to multiple biochemical pathways, while assigning to each cell line a quantitative score reflecting fundamental biological functions.
authors.affiliation: Laboratory of Comparative Toxicology and Ecotoxicology, Istituto Superiore di Sanita', Viale Regina Elena 299, 00161, Rome, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Crescenzi
authors.forename: A
authors.initials: A
authors.lastname: Giuliani
mesh_terms: D002465:Cell Movement; D016000:Cluster Analysis; D004705:Endocytosis; D005089:Exocytosis; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D025341:Principal Component Analysis; D014407:Tumor Cells, Cultured / Q000145:classification* / Q000166:cytology / Q000502:physiology