The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease
The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease
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DOI：
10.1126/science.1132939
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发表时间：
2006-09-29
期刊：
影响因子：
56.9
通讯作者：
Golub, Todd R.
中科院分区：
文献类型：
--
作者：
Lamb, Justin;Crawford, Emily D.;Golub, Todd R.
为了寻求一种系统的方法来发现疾病，遗传干扰和药物作用之间的功能联系，我们已经创建了第一批用生物活性小分子处理的培养人类细胞的基因表达谱参考集合，以及模式匹配软件来挖掘这些数据。我们证明，这种“连接图”资源可用于寻找共享作用机制的小分子、化学物质和生理过程以及疾病和药物之间的连接。这些结果表明了该方法的可行性，并提出了一个大规模的社区连接地图项目的价值。
To pursue a systematic approach to the discovery of functional connections among diseases, genetic perturbation, and drug action, we have created the first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules, together with pattern-matching software to mine these data. We demonstrate that this "Connectivity Map'' resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs. These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.