应用生物信息学方法分析人HCA56基因

Application of bioinformatics in analysis of human gene HCA56

目的利用生物信息学对新克隆的人ligatin样基因HCA 5 6的基因和蛋白序列进行分析,探讨生物信息学在新基因研究中的作用。方法以人类基因组数据库为基础,利用电子PCR和SAGE数据库对HCA 5 6进行染色体定位和组织表达分布分析;BLAST程序进行HCA 5 6的基因结构分析和相似序列搜索;ORFfinder和GeneRunner3 0 5程序对HCA 5 6编码蛋白进行序列预测和功能分析。结果得出HCA 5 6的全长cDNA为2 0 2 1bp ,定位于染色体1q31 q32 ,其最长的开放读码框架为175 5bp ,编码5 84个氨基酸,编码氨基酸含有一个亮氨酸拉链和一假定的RNA结合保守序列。相似性搜索发现HCA 5 6基因片段与人ligatin基因片段具有很高的相似性(99% )。SAGE结果显示HCA 5 6在多种组织中都有表达。结论生物信息学是进行新基因研究的有效方法;HCA 5 6很可能是ligatin的全长编码基因。

Objective To analyze the gene and protein sequence of a novel gene HCA56 with bioinformatics and to explore the value of bioinformatics in the novel gene research. Methods Based on the human genome resource, e-PCR and SAGE were used for the analysis of chromosome location and tissue expression of HCA56; BLAST procedure was used to analyze the gene sequence and the similarity gene; ORF finder and Gene Runner 3.05 were used to predict the sequence and the function of the HCA56 encoding protein. Results The full length of the HCA56 is 2 021 bp and locate in 1q31-q32. The longest ORF is 1 755 bp and encodes 584 amino acid with a leucine-zipper and a Putative RNA-binding Domain. Similarity research has shown that HCA56 protein shares highest homology with human ligatin partial cDNA (99%). HCA56 gene is expressed in different tissues. Conclusion Bioinformatics is an effective method for new gene analysis and HCA56 maybe the full length of the ligatin encoded gene.