用生物信息学方法寻找肝癌特异性表达基因转录调控模式

Finding Transcriptional Regulatory Motifs of Hepatocellular Carcinoma-9Yes Characteristic Genes Using Bioinformatics Methods

为了对肝癌(hepatocellularcarcinoma,HCC)的分子发病机理进行研究,首先对肝癌基因表达谱数据用t-检验算法进行了分析,找到了肝癌中特异性表达基因(characteristicgenes).然后把这些基因结合已知的肝HNF家族转录因子染色质免疫共沉淀结合DNA启动子芯片(ChIP-chip)实验数据用SAEM算法进行分析,得到了肝癌特异性表达基因的转录调控关系,并寻找到了多个HNF家族转录因子调控单基因的转录调控模式.结果表明HNF家族转录因子对大量具有重要功能的肝癌特异性表达基因进行了转录调控,并且多个HNF家族转录因子调控单基因可以形成前馈环和多输入调控等模式.

In order to research the molecular pathogenesis of hepatocellular carcinoma （HCC）, firstly, gene expression profile data of HCC, which dealt with t-test method, was used and HCC＇s characteristic genes were found, secondly, SAEM method was used to analyze these data combining HCC＇s characteristic genes and human liver＇s HNF family transcription factors ChiP-chip data, finally, transcriptional regulatory relations of HCC＇s characteristic genes and HNF family transcription factors were got, furthermore the transcriptional regulatory motifs of HNF family transcription factors regulating HCC＇s characteristic genes were found. All the results indicate that HNF family transcription factors regulate many HCC＇s characteristic genes, a great number of those have very important functions, and multi-HNF family transcription factors regulating HCC＇s characteristic genes can form feedforward loop motif and multi-input regulatory motifs.