Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis
Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis
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DOI：
10.1101/gr.533003
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发表时间：
2003-07-01
期刊：
影响因子：
7
通讯作者：
Roopenian, D
中科院分区：
文献类型：
--
作者：
Akilesh, S;Shaffer, DJ;Roopenian, D
描述体内病理过程的分子表型是基因组生物学的迫切需要。我们已经实施了高通量实时PCR策略，以建立一组定制的靶基因的定量表达谱。它能够从有限数量的RNA中快速、可重复地采集数据，从而允许在疾病进展期间对小鼠血液进行连续采样。我们开发了一种易于使用的统计算法-全局模式识别-很容易识别基因的表达已经从健康的基线配置文件显着改变。这种方法为类风湿性关节炎、系统性红斑狼疮和移植物抗宿主病提供了独特的分子特征，也可用于确定各种其他正常和病理过程的分子表型。
Description of the molecular phenotypes of pathoblological 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.