cDNA microarray analysis of a glucocorticoid treated acute lymphoblastic leukemia cell line

Sifakis, EG; Lambrou, GI; Prentza, A; Koutsouris, D; Tzortzatou-Stathopoulou, F

dc.contributor.author	Sifakis, EG	en
dc.contributor.author	Lambrou, GI	en
dc.contributor.author	Prentza, A	en
dc.contributor.author	Koutsouris, D	en
dc.contributor.author	Tzortzatou-Stathopoulou, F	en
dc.date.accessioned	2014-03-01T02:45:11Z
dc.date.available	2014-03-01T02:45:11Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32183
dc.subject	Acute Lymphoblastic Leukemia	en
dc.subject	Cdna Microarray	en
dc.subject	Cell Line	en
dc.subject	Expression Profile	en
dc.subject	Gene Expression Pattern	en
dc.subject	Glucocorticoids	en
dc.subject	Hierarchical Clustering	en
dc.subject	Microarray Data	en
dc.subject	Resistance Mechanism	en
dc.subject	Glucocorticoid Receptor	en
dc.subject.other	Acute lymphoblastic leukemia	en
dc.subject.other	Algorithmic approach	en
dc.subject.other	cDNA microarray analysis	en
dc.subject.other	Cell system	en
dc.subject.other	Computing environments	en
dc.subject.other	Expression profile	en
dc.subject.other	Gene expression patterns	en
dc.subject.other	Gene repression	en
dc.subject.other	Glucocorticoid receptor	en
dc.subject.other	Glucocorticoids	en
dc.subject.other	Hier-archical clustering	en
dc.subject.other	Microarray data	en
dc.subject.other	Pre-processing method	en
dc.subject.other	Prednisolone	en
dc.subject.other	Resistance mechanisms	en
dc.subject.other	T-cell leukemia	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Cell culture	en
dc.subject.other	Gene expression	en
dc.subject.other	MATLAB	en
dc.subject.other	Cluster analysis	en
dc.title	cDNA microarray analysis of a glucocorticoid treated acute lymphoblastic leukemia cell line	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696739	en
heal.identifier.secondary	4696739	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696739	en
heal.publicationDate	2008	en
heal.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 Matlab® 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.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696739	en