Liu Qi, Huang Jinling, Liu Huiqing, Wan Ping, Ye Xiuzi, Xu Ying
Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
BMC Bioinformatics. 2009 Mar 17;10:88. doi: 10.1186/1471-2105-10-88.
Understanding the constituent domains of oncogenes, their origins and their fusions may shed new light about the initiation and the development of cancers.
We have developed a computational pipeline for identification of functional domains of human genes, prediction of the origins of these domains and their major fusion events during evolution through integration of existing and new tools of our own. An application of the pipeline to 124 well-characterized human oncogenes has led to the identification of a collection of domains and domain pairs that occur substantially more frequently in oncogenes than in human genes on average. Most of these enriched domains and domain pairs are related to tyrosine kinase activities. In addition, our analyses indicate that a substantial portion of the domain-fusion events of oncogenes took place in metazoans during evolution.
We expect that the computational pipeline for domain identification, domain origin and domain fusion prediction will prove to be useful for studying other groups of genes.
了解癌基因的组成结构域、其起源及其融合情况,可能会为癌症的发生和发展带来新的认识。
我们开发了一种计算流程,通过整合现有的和我们自己开发的新工具,来识别人类基因的功能结构域,预测这些结构域的起源及其在进化过程中的主要融合事件。将该流程应用于124个特征明确的人类癌基因,已识别出一组结构域和结构域对,它们在癌基因中出现的频率明显高于人类基因的平均水平。这些富集的结构域和结构域对大多与酪氨酸激酶活性相关。此外,我们的分析表明,癌基因的结构域融合事件在进化过程中大部分发生在后生动物中。
我们预计,用于结构域识别、结构域起源和结构域融合预测的计算流程将被证明对研究其他基因群体有用。