GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE25101 Query DataSets for GSE25101
Status Public on Nov 04, 2010
Title Expression profiling in whole blood in ankylosing spondylitis patients and controls
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Introduction: A number of genetic-association studies have identified genes contributing to AS susceptibility but such approaches provide little information as to the gene activity changes occurring during the disease process. Transcriptional profiling generates a “snapshot” of the sampled cells activity and thus can provide insights into the molecular processes driving the disease process. We undertook a whole-genome microarray approach to identify candidate genes associated with AS and validated these gene-expression changes in a larger sample cohort. Methods: 18 active AS patients, classified according to the New York criteria. and 18 gender-and age-matched controls were profiled using Illumina HT-12 Whole-Genome Expression BeadChips which carry cDNAs for 48000 genes and transcripts. Class comparison analysis identified a number of differentially expressed candidate genes. These candidate genes were then validated in a larger cohort using qPCR-based TaqMan Low Density Arrays (TLDAs). Results: 239 probes corresponding to 221 genes were identified as being significantly different between patients and controls with a p-value <0.0005 (80% confidence level of false discovery rate). Forty seven genes were then selected for validation studies, using the TLDAs. Thirteen of these genes were validated in the second patient cohort with 12 down-regulated 1.3-2-fold and only 1 upregulated (1.6-fold). Among a number of identified genes with well-documented inflammatory roles we also validated genes that might be of great interest to the understanding of AS progression such as SPOCK2 (osteonectin) and EP300 which modulate cartilage and bone metabolism. Conclusion: We have validated a gene expression signature for AS from whole blood and identified strong candidate genes that may play roles in both the inflammatory and joint destruction aspects of the disease.
Overall design RNA was extracted from whole blood using PAXGene tubes. 16 AS patients with active disease and 16 gender- and age-matched controls were analysed.
Contributor(s) Thomas GP, Pimentel-Santos FM
Citation(s) 21470430
Submission date Nov 03, 2010
Last update date Aug 16, 2018
Contact name Gethin Thomas
Phone +61 7 3176 2755
Fax +61 7 3176 5946
Organization name University of Queensland Diamantina Institute
Street address Princess Alexandra Hospital
City Woolloongabba
State/province QLD
ZIP/Postal code 4102
Country Australia
Platforms (1)
GPL6947 Illumina HumanHT-12 V3.0 expression beadchip
Samples (32)
GSM616668 Ankylosing spondylitis patient 1
GSM616669 Ankylosing spondylitis patient 2
GSM616670 Ankylosing spondylitis patient 3
BioProject PRJNA134725

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
GSE25101_RAW.tar 6.2 Mb (http)(custom) TAR
GSE25101_non-normalized.txt.gz 16.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data is available on Series record
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap