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Series GSE39683 Query DataSets for GSE39683
Status Public on Jun 25, 2013
Title Small nucleolar RNAs and small Cajal body-specific RNAs show distinct transcriptional profiles in the context of the molecular heterogeneity of multiple myeloma.
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs (scaRNAs) are non-coding RNAs involved in the maturation of other RNA molecules and generally located in the introns of host genes. It is now emerging that altered sno/scaRNAs expression may play a pathological role in cancer. This study elucidates the patterns of sno/scaRNAs expression in multiple myeloma (MM), by profiling puri?ed malignant plasma cells from 55 MMs, 8 secondary plasma cell leukemias (sPCL) and 4 normal controls. Overall, a global sno/scaRNAs down-regulation was found in MMs and at more extent in sPCLs compared to normal plasma cells. Whereas SCARNA22 resulted the only sno/scaRNA characterizing the TC4 MM, TC2 group displayed a distinct sno/scaRNA signature overexpressing members of SNORD115 and SNORD116 families located in a region finely regulated by imprinting mechanism at 15q11. However, the imprinting center resulted overall hypomethylated in MMs independently of the SNORD115 and SNORD116 expression levels. Finally, integrative analyses with available gene expression and genome-wide data revealed the occurrence of significant sno/scaRNAs/host genes co-expression and the putative influence of allelic imbalances on specific snoRNAs expression. Our data extend the current view of sno/scaRNAs deregulation in cancer and add novel information into the bio-molecular complexity of plasma cell dyscrasias.
 
Overall design This series of microarray experiments contains the gene expression profiles of purified plasma cells (PCs) obtained from 55 multiple myeloma (MM) and 8 secondary plasma cell leukemia (sPCL) at diagnosis. PCs were purified from bone marrow samples using CD138 immunomagnetic microbeads according to the manufacturer's instructions (MidiMACS system, Miltenyi Biotec); the purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases. 5.5 micrograms of single-stranded DNA target obtained from 100 ng of purified total RNA was fragmented and then labeled using the WT Terminal Labeling Kit according to the standard Affymetrix protocol (GeneChip® Whole Transcript (WT) Sense Target Labeling Assay Manual). The fragmented labeled single-stranded DNA target was hybridized for 16 hours and 30 minutes at 45°C on GeneChip® Gene 1.0 ST array according to the standard Affymetrix protocol. Washing and scanning were performed using GeneChip System of Affymetrix (GeneChip Hybridization Oven 640, GeneChip Fluidics Station 450 and GeneChip Scanner 7G). The raw intensity expression values were processed by Robust Multi-array Average (RMA) complete procedure with the re-mapped Chip Definition Files (CDF) from BrainArray libraries version 15.0.0 available at http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/15.0.0/entrezg.asp.
 
Contributor(s) Ronchetti D, Todoerti K, Tuana G, Agnelli L, Mosca L, Lionetti M, Fabris S, Bonaparte E, Miozzo M, Ferrarini M, Tassone P, Neri A
Citation(s) 23178508
Submission date Jul 26, 2012
Last update date Jan 16, 2014
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)
GPL16522 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [HuGene10stv1_Hs_ENTREZG_15.1.0]
Samples (67)
GSM977621 Multiple Myeloma MM-004_Gene1.0_2
GSM977622 Multiple Myeloma MM-015_Gene1.0_2
GSM977623 Multiple Myeloma MM-016_Gene1.0_2
Relations
BioProject PRJNA171397

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
GSE39683_RAW.tar 258.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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