Work

Customized Molecular Phenotyping by Quantitative Gene Expression and Pattern Recognition Analysis

Year: 2003

Type: preprint

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.

Source: Genome Research

DOI: 10.1101/gr.533003

Authors: Shreeram Akilesh, Daniel J. Shaffer, Derry Roopenian

Institution: Jackson Laboratory

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Lupus Research Alliance, National Institute of Diabetes and Digestive and Kidney Diseases