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Series GSE24084 Query DataSets for GSE24084
Status Public on Dec 01, 2011
Title RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Comparative expression analysis of RNA isolated from microvesicles from serum from glioblastoma multiforme (GBM) patients and normal healthy individuals.
 
Overall design Background
RNA from exosomes and other microvesicles contain transcripts of tumour origin. In this study we sought to identify biomarkers of glioblastoma multiforme in microvesicle RNA from serum of affected patients.

Methods
Microvesicle RNA from serum from patients with de-novo primary glioblastoma multiforme (N = 9) and normal controls (N = 7) were analyzed by microarray analysis. Samples were collected according to protocols approved by the Institutional Review Board. Differential expressions were validated by qRT-PCR in a separate set of samples (N = 10 in both groups).

Results
Expression profiles of microvesicle RNA correctly separated individuals in two groups by unsupervised clustering. The most significant differences pertained to down-regulated genes (121 genes > 2-fold down) in the glioblastoma multiforme patient microvesicle RNA, validated by qRT-PCR on several genes. Overall, yields of microvesicle RNA from patients was higher than from normal controls, but the additional RNA was primarily of size < 500 nt. Gene ontology of the down-regulated genes indicated these are coding for ribosomal proteins and genes related to ribosome production.

Conclusions
Serum microvesicle RNA from patients with glioblastoma multiforme has significantly down-regulated levels of RNAs coding for ribosome production, compared to normal healthy controls, but a large overabundance of RNA of unknown origin with size < 500 nt.
 
Contributor(s) Noerholm M, Balaj L, Limperg T, Salehi A, Hochberg F, Carter B, Zhu L, Breakefield XO, Skog J
Citation(s) 22251860
Submission date Sep 10, 2010
Last update date Jan 18, 2013
Contact name Mikkel Noerholm
Organization name MGH
Department Neurology
Lab Breakefield
Street address 149 13th Street
City Charlestown
State/province MA
ZIP/Postal code 02129
Country USA
 
Platforms (1)
GPL8755 PF - Agilent-014850 Whole Human Genome Microarray 4x44K
Samples (16)
GSM592998 Ctrl4
GSM592999 Ctrl8
GSM593000 GBM12
Relations
BioProject PRJNA130213

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
GSE24084_RAW.tar 142.6 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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