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PubMed · 12840047

Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis.

Shreeram Akilesh·Daniel J Shaffer·Derry Roopenian
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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.

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AlgorithmsAnimalsArthritis, RheumatoidComputational BiologyDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseGraft vs Host DiseaseImmunoassayLupus Erythematosus, SystemicMaleMiceMice, Inbred BALB CMice, Inbred C57BLModels, GeneticModels, ImmunologicalOligonucleotide Array Sequence AnalysisPhenotypeReproducibility of ResultsSensitivity and SpecificityJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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Shreeram Akilesh, Daniel J Shaffer, Derry Roopenian. 2003. Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis.. https://doi.org/10.1101/gr.533003

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