肝细胞癌中差异表达EST的生物信息学分析和功能预测

Analysis and function prediction of ESTs differentially expressed in HCC by Bioinformatics strategy

目的 采用生物信息学方法分析、预测在原发性肝细胞癌中差异表达表达序列标签 (expressionsequencetag ,EST)的全长、ORF、电子表达谱、染色体定位和编码蛋白质的功能 ,指导实验研究。方法 应用多种生物学软件进行分析。结果 获得两条新基因的全长序列 ,和RACE方法、测序获得的结果一致 ;两条EST分别定位于 2p13～ 15、3p14 ;高表达EST主要表达于肿瘤组织 ,低表达EST主要表达于正常组织 ;高表达基因所编码蛋白质参与细胞信号转导、前mRNA加工和细胞骨架组装 ,低表达编码蛋白质和机体T淋巴细胞介导的免疫反应有关。结论 采用生物信息学技术有助于高效、快速地克隆、鉴定新基因。

Objective To guide the laboratory bench_work,the full_length cDNA sequence,ORF,electronic expression pattern and position on chromosome of two expression sequence tags(EST) which were differentially expressed in HCC(one was highly expressed,and the other one,AV647952,lowly expressed in HCC) by bioinformatics methods and their function was predicted.Methods Some software were used for these purposes.Results Two novel genes' sequence were obtained,the sequence was consistent with the results gained by RACE and sequencing.They mapped to 2p13～15,3p14,and mainly expressed in carcinoma,normal tissues repectively.The protein coded by highly expressed gene may take part in regulation in signal transduction,pre_mRNA processing and cytoskeleton assemble,and the other one involved in CD8 +_T_Cell_Medicated immune response.Conclusion Bioinformatics strategy is very useful in efficient,rapid cloning and identification of novel gene.