Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis.
Document Type
Article
Publication Date
2003
Keywords
Animals, Arthritis-Rheumatoid, Computational-Biology, Disease-Models-Animal, Disease-Progression, Female, Gene-Expression-Profiling, Gene-Expression-Regulation, Genetic-Predisposition-to-Disease, Graft-vs-Host-Disease, Immunoassay, Lupus-Erythematosus-Systemic, Male, Mice, Mice-Inbred-BALB-C, Mice-Inbred-C57BL, Models-Genetic, Models-Immunological, Oligonucleotide-Array-Sequence-Analysis, Phenotype, Reproducibility-of-Results, Sensitivity-and-Specificity
First Page
1719
Last Page
1727
JAX Source
Genome Res 2003 Jul; 13(7):1719-27.
Abstract
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 algorithm--Global Pattern Recognition--to 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.
Recommended Citation
Akilesh S,
Shaffer DJ,
Roopenian D.
Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis. Genome Res 2003 Jul; 13(7):1719-27.