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Series GSE21597 Query DataSets for GSE21597
Status Public on Dec 07, 2010
Title Affymetrix SNP array data for Burkitt lymphoma samples
Organism Homo sapiens
Experiment type Genome variation profiling by SNP array
SNP genotyping by SNP array
Summary For sporadic Burkitt lymphoma (BL) few genetic lesions are known besides the pathognomonic IG-MYC translocations. Thirtynine molecularly-defined BL were analyzed with high-resolution single-nucleotide polymorphism chips for genomic imbalances and uniparental disomy (UPD). Imbalances were correlated to transcript profiling and selected miRNA analysis. Translocations affecting the MYC locus were studied by fluoresence in situ hybridization. We detected 528 copy number changes, defining 29 recurrently imbalanced regions. 518 regions of UPD were found, but these were rarely recurrent. Combined imbalance mapping and transcript profiling revealed a profound correlation between copy number and expression. Several recurrent imbalances affected the MYC pathway: The miRNA-supercluster 17-92 was frequently gained and the transcription factor E2F2 was recurrently deleted. Molecular BL lacking MYC translocations showed MYC gains. Amplifications of the polymerase iota gene were associated with increased genomic instability. The present findings suggests that UPDs play no major role in the pathogenesis of BL, whereas some genes may contribute to BL development through gene dosage effects. Amplifications of the polymerase iota gene may be functionally linked with increased genomic instability in BL. The pattern and rarity of chromosomal changes detectable even at the high resolution employed here, together with aberrations of genes regulating MYC activity, support that deregulation of the MYC pathway is the major force driving BL pathogenesis, but show that this deregulation is more complex than previously known.
 
Overall design Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from whole tissue. Copy number and LOH analysis of 500K SNP arrays was performed for 30 molecularly-defined Burkitt lymphomas. Genotyping was performed using the BRLMM-algorithm. Only a single 250k Chip was performed for nine additional Burkitts. 20 normal references (10 of those hybridized to nsp-chips) extracted from healthy blood donors, used as normals in the analysis in addition to the HapMap references provided by Affymetrix, are included in the set.
 
Contributor(s) Scholtysik R
Citation(s) 20823134
Submission date Apr 29, 2010
Last update date May 17, 2017
Contact name Rene Scholtysik
E-mail(s) rene.scholtysik@uni-due.de
Organization name University Hospital Essen
Department IFZ
Street address Virchowstrasse 173
City Essen
ZIP/Postal code 45127
Country Germany
 
Platforms (2)
GPL3718 [Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array
GPL3720 [Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array
Samples (99)
GSM539112 Burkitt MPI-001_nsp
GSM539113 Burkitt MPI-003_nsp
GSM539114 Burkitt MPI-017_nsp
Relations
BioProject PRJNA127133

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
GSE21597_RAW.tar 2.9 Gb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table
Processed data provided as supplementary file

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