Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.

E-GEOD-6205 - Transcription profiling of human myeloma cell lines (23)

Status
Submitted on 1 November 2006, released on 14 June 2008, last updated on 27 March 2012
Organism
Homo sapiens
Samples (23)
Array (1)
Protocols (6)
Description
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. Experiment Overall Design: 23 Human Multiple Myeloma Cell Lines (HMCLs)
Experiment types
transcription profiling by array, unknown experiment type
Contact
Citation
Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease. Luigia Lombardi, Giulia Poretti, Michela Mattioli, Sonia Fabris, Luca Agnelli, Silvio Bicciato, Ivo Kwee, Andrea Rinaldi, Domenica Ronchetti, Donata Verdelli, Giorgio Lambertenghi-Deliliers, Francesco Bertoni, Antonino Neri. Genes Chromosomes Cancer 46(3):226-38 (2007)
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-6205.idf.txt
Sample and data relationshipE-GEOD-6205.sdrf.txt
Raw data (1)E-GEOD-6205.raw.1.zip
Processed data (1)E-GEOD-6205.processed.1.zip
Array designA-AFFY-33.adf.txt
R ExpressionSetE-GEOD-6205.eSet.r
Links