NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE9106 Query DataSets for GSE9106
Status Public on Jan 29, 2008
Title Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
Organism Homo sapiens
Experiment type Expression profiling by array
Expression profiling by RT-PCR
Summary This study identified informative gene expression signatures in peripheral blood cells that can characterize TAA status and subtypes of TAA. Moreover, a 41-gene classifier based on expression signature can identify TAA patients with high accuracy. The transcriptional programs in peripheral blood leading to the identification of these markers also provide insights into the mechanism of development of aortic aneurysms, and highlight potential targets for therapeutic intervention. The classifier genes identified in this study and validated by TaqMan® real-time PCR assays define a set of promising potential diagnostic markers, setting the stage for a blood-based gene expression test to facilitate early detection of TAA.
Keywords: Gene Expression Signature
 
Overall design Whole Genome gene expression profiles from a total of 94 peripheral blood samples (collected from 58 individuals diagnosed with TAA and 36 normal controls) were analyzed in this study. Significance Analysis of Microarray (SAM) analysis identified potential signature genes characterizing TAA vs. normal, ascending vs. descending TAA, as well as sporadic vs. familial TAA. Using a training set containing 36 TAA patients
and 25 controls, a 41-gene classification model was constructed for detecting TAA status and an overall accuracy of 78 ± 6% was achieved. Testing this classifier on an independent validation set containing 22 TAA samples and 11 controls yielded an overall classification accuracy of 78%. These 41 classifier genes were further validated by TaqMan® real-time PCR assays. Classification based on the TaqMan® data eplicated the microarray results and achieved 80% classification accuracy on the testing set.
 
Contributor(s) Yulei W, Barbacioru CC, Shiffman D, Balasubramanian S, Iakoubova O, Tranquilli M, Albornoz G, Blake J, Mehmet NN, Ngadimo D, Poulter K, Chan F, Samaha RR, Elefteriades JA
Citation(s) 17940614
Submission date Sep 19, 2007
Last update date Jan 27, 2016
Contact name Catalin Barbacioru
E-mail(s) catalin@appliedbiosystems.com
Organization name Applied Biosystems
Street address 850 Lincoln Centre Dr
City Foster City
State/province CA
ZIP/Postal code 94404
Country USA
 
Platforms (2)
GPL2845 Applied Biosystems TaqMan Gene Expression Assays (human)
GPL2986 ABI Human Genome Survey Microarray Version 2
Samples (179)
GSM230465 262_TaqMan
GSM230466 263_TaqMan
GSM230467 264_TaqMan
Relations
BioProject PRJNA102635

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary data files not provided
Processed data included within Sample table

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