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Series GSE6205 Query DataSets for GSE6205
Status Public on Dec 28, 2006
Title Human myeloma cell lines gene expression profiling
Organism Homo sapiens
Experiment type Expression profiling by array
Summary In order to investigate the patterns of genetic lesions in a panel of 23 Human Multiple Myeloma Cell Lines (HMCLs), we made a genomic integrative analysis involving FISH and both gene expression and genome-wide profiling approaches. The expression profiles of the genes targeted by the main IGH translocations showed that the WHSC1/MMSET gene involved in t(4;14)(p16;q32) was expressed at different levels in all of the HMCLs, and that the expression of the MAF gene was not restricted to the HMCLs carrying t(14;16)(q32;q23). Supervised analyses identified a limited number of genes specifically associated with t(4;14) and involved in different biological processes. The signature related to MAF/MAFB expression included the known MAF target genes CCND2 and ITGB7, as well as genes controlling cell shape and cell adhesion. Genome–wide DNA profiling allowed the identification of a gain on chromosome arm 1q in 88% of the analyzed cell lines, together with recurrent gains on 8q, 18q, 7q and 20q; the most frequent deletions affected 1p, 13q, 17p and 14q; and almost all of the cell lines presented LOH on chromosome 13. Two hundred and twenty-two genes were found to be simultaneously overexpressed and amplified in our panel, including the BCL2 locus at 18q21.33. Our data further support the evidence of the genomic complexity of multiple myeloma and reinforce the role of an integrated genomic approach in improving our understanding of the molecular pathogenesis of the disease.
Keywords: cell line comparison
 
Overall design 23 Human Multiple Myeloma Cell Lines (HMCLs)
 
Contributor(s) Lombardi L, Poretti G, Mattioli M, Fabris S, Agnelli L, Bicciato S, Kwee I, Rinaldi A, Ronchetti D, Verdelli D, Lambertenghi-Deliliers G, Bertoni F, Neri A
Citation(s) 17171682, 19306352
Submission date Nov 01, 2006
Last update date Aug 10, 2018
Contact name Luca Agnelli
E-mail(s) luca.agnelli@istitutotumori.mi.it, luca.agnelli@gmail.com
Phone +390223903581
Organization name IRCCS Istituto Nazionale dei Tumori
Department Department of Advanced Diagnostics
Street address Venezian 1
City MILAN
ZIP/Postal code 20133
Country Italy
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (23)
GSM143331 KMS28
GSM143332 KMS34
GSM143333 NCI-H929
Relations
BioProject PRJNA100619

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE6205_RAW.tar 80.6 Mb (http)(custom) TAR (of CEL)

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