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Titolo:
Statistical pattern analysis of gene expression profiles for glioblastoma tissues and cell lines
Autore:
Hess, KR; Fuller, GN; Rhee, CH; Zhang, W;
Indirizzi:
Univ Texas, MD Anderson Canc Ctr, Dept Pathol, Canc Genom Program, Houston, TX 77030 USA Univ Texas Houston TX USA 77030 Canc Genom Program, Houston, TX 77030 USA Univ Texas, MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA UnivTexas Houston TX USA 77030 Ctr, Dept Biostat, Houston, TX 77030 USA Univ Texas, MD Anderson Canc Ctr, Dept Neurooncol, Houston, TX 77030 USA Univ Texas Houston TX USA 77030 r, Dept Neurooncol, Houston, TX 77030 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE
fascicolo: 2, volume: 8, anno: 2001,
pagine: 183 - 188
SICI:
1107-3756(200108)8:2<183:SPAOGE>2.0.ZU;2-9
Fonte:
ISI
Lingua:
ENG
Soggetto:
CLUSTER-ANALYSIS; GENOME; MICROARRAYS;
Keywords:
glioblastoma multiforme;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
25
Recensione:
Indirizzi per estratti:
Indirizzo: Zhang, W Univ Texas, MD Anderson Canc Ctr, Dept Pathol, Canc Genom Program, POB 85,1515 Holcombe Blvd, Houston, TX 77030 USA Univ Texas POB 85,1515 Holcombe Blvd Houston TX USA 77030 030 USA
Citazione:
K.R. Hess et al., "Statistical pattern analysis of gene expression profiles for glioblastoma tissues and cell lines", INT J MOL M, 8(2), 2001, pp. 183-188

Abstract

The recent development and refinement of cDNA array and genechip techniques allows for large-scale parallel screening of gene expression and thereby provides a global assessment of molecular events transpiring in cell populations. We hypothesized that such an approach might help illuminate current issues in glioma research. To what degree are glioblastoma multiforme (GBM)cell lines representative of primary GEM tumors? We carried out a gene expression profiling study using cDNA array technology on 10 GEM primary tissues and 3 GEM cell lines. The gene expression levels were quantified, and the within-subject ranks of the gene expression levels were subsequently evaluated by hierarchical clustering analysis, multidimensional scaling analysis, and principal component analysis. Hierarchical cluster analysis shows that the 3 cell lines form one main cluster and the 10 tissue samples form a separate cluster. Multidimensional scaling and principal components analysis provided further graphical demonstration that the cell lines are clearly different from the tissue samples and that the cell lines are more different between themselves than are the tissues.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/01/20 alle ore 21:16:07