Genome Res. 13:1719-1727, 2003
©2003 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/03 $5.00
Methods
Customized Molecular Phenotyping by Quantitative Gene Expression and Pattern Recognition Analysis
Shreeram Akilesh,
Daniel J. Shaffer and
Derry Roopenian1
The Jackson Laboratory, Bar Harbor, Maine 04609, USA
Description of the molecular phenotypes of pathobiological processes in
vivo is a pressing need in genomic biology. We have implemented a
high-throughput real-time PCR strategy to establish quantitative expression
profiles of a customized set of target genes. It enables rapid, reproducible
data acquisition from limited quantities of RNA, permitting serial sampling of
mouse blood during disease progression. We developed an easy to use
statistical algorithmGlobal Pattern Recognitionto readily
identify genes whose expression has changed significantly from healthy
baseline profiles. This approach provides unique molecular signatures for
rheumatoid arthritis, systemic lupus erythematosus, and graft versus host
disease, and can also be applied to defining the molecular phenotype of a
variety of other normal and pathological processes.
Article and publication are at
http://www.genome.org/cgi/doi/10.1101/gr.533003.
1 Corresponding author. E-MAIL
dcr{at}jax.org;
FAX (207) 288-6383.
[Supplemental materialThe primer sequences for genes included in the
ImmunoQuant Array (and listed in Table
1) are available online at www.genome.org. The GPR algorithm,
documentation, and sample data sets are available at
http://www.jax.org/staff/roopenian/labsite/index.html.The following
individuals kindly provided reagents, samples, or unpublished information as
indicated in the paper: D. Mathis and C. Benoist.]

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