Inferring combinatorial regulation of transcription in silico.
Inferring combinatorial regulation of transcription in silico.
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DOI：
10.1093/nar/gki167
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发表时间：
2005
影响因子：
14.9
通讯作者：
Herzel H
中科院分区：
文献类型：
--
作者：
Blüthgen N;Kiełbasa SM;Herzel H
在本文中，我们提出了一个功能的看法，在硅片上预测转录调控。我们提出了一种方法来预测由转录因子的组合相互作用调节的生物学功能。使用严格的统计，这种方法交叉的存在下，转录因子结合位点的基因上游序列与基因本体论术语与这些基因。我们证明，对于一组研究充分的骨骼肌相关的转录因子Myf-2，Mef和TEF，正确的功能预测。此外，从脂多糖刺激后表达的基因的良好特征的启动子开始，我们预测这种刺激的功能目标。这些结果与微阵列数据非常一致。
In this paper, we propose a functional view on the in silico prediction of transcriptional regulation. We present a method to predict biological functions regulated by a combinatorial interaction of transcription factors. Using a rigorous statistic, this approach intersects the presence of transcription factor binding sites in gene upstream sequences with Gene Ontology terms associated with these genes. We demonstrate that for the well-studied set of skeletal muscle-related transcription factors Myf-2, Mef and TEF, the correct functions are predicted. Furthermore, starting from the well-characterized promoter of a gene expressed upon lipopolysaccharide stimulation, we predict functional targets of this stimulus. These results are in excellent agreement with microarray data.