DocumentCode :
1641567
Title :
cDNA microarray analysis of a glucocorticoid treated acute lymphoblastic leukemia cell line
Author :
Sifakis, Emmanouil G. ; Lambrou, George ; Prentza, Andriana ; Koutsouris, Dimitris ; Tzortzatou-Stathopoulou, Fotini
Author_Institution :
Biomed. Eng. Lab., Nat. Tech. Univ. of Athens, Athens
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
The objective of the present study was the analysis of microarray data from a T-cell leukemia cell line (CCRF-CEM), treated with two different prednisolone concentrations, using four different pre-processing methods, within the Matlabreg computing environment. We have compared these methods using hierarchical clustering. The gene expression patterns revealed by hierarchical clustering were used to draw probable conclusions on the question whether resistance to glucocorticoids is inherent or acquired, in this type of cells. Although different algorithmic approaches have concluded different results, the set of genes examined manifested an opposing pattern in their expression profile between low and high prednisolone concentrations. This opposing behavior seems to be related to glucocorticoid receptor-related gene repression or activation, leading to the activation of resistance mechanisms within the cell system studied.
Keywords :
biochemistry; blood; cellular biophysics; drugs; genomics; mathematics computing; medical computing; pattern clustering; statistical analysis; CCRF-CEM; Matlab computing environment; T-cell leukemia cell line; acute lymphoblastic leukemia cell line; cDNA microarray analysis; gene expression patterns; glucocorticoid receptor related gene activation; glucocorticoid receptor related gene repression; glucocorticoid resistance; hierarchical clustering comparison; microarray data analysis; prednisolone treatmnent; Background noise; Biomedical engineering; Computer languages; Data analysis; Gene expression; Immune system; In vitro; In vivo; Laboratories; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-2844-1
Electronic_ISBN :
978-1-4244-2845-8
Type :
conf
DOI :
10.1109/BIBE.2008.4696739
Filename :
4696739
Link To Document :
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