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E-GEOD-7760 - Exon Level Expression Profiling: a Novel Unbiased Transcriptome Analysis for Body Fluids

Released on 19 May 2008, last updated on 22 June 2012
Homo sapiens
Samples (18)
Array (1)
Protocols (7)
Transcriptome analysis of partially degraded and fragmented RNA samples from body fluids Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals. We analyzed saliva from 18 healthy subjects (7 males, 11 females) using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by Affymetrix Exon Array Computational Tool. No techinical replicates were performed.
Experiment type
transcription profiling by array 
David T.W. Wong <>, Bernhard G Zimmermann, Bradley S Henson, David Elashoff, David T Wong, Guido Krupp, Hui Zhou, Weixia Yu, Zhanzhi Hu
Exon-level expression profiling: a comprehensive transcriptome analysis of oral fluids. Hu Z, Zimmermann BG, Zhou H, Wang J, Henson BS, Yu W, Elashoff D, Krupp G, Wong DT. , PMID:18356245
Investigation descriptionE-GEOD-7760.idf.txt
Sample and data relationshipE-GEOD-7760.sdrf.txt
Raw data (3),,
Processed data (1)
Array designA-AFFY-143.adf.txt
R ExpressionSetE-GEOD-7760.eSet.r