蛋白质组表达图谱用于基因组功能提示的可行性研究

本文以ＥＣＯ２ＤＢＡＳＥ（Ｅｄｉｔｉｏｎ ６） 为研究材料， 探讨了利用蛋白质组表达图谱提供的生命动态活动信息提高基因组功能提示效果的可行性。在设计出一套较为完整的细胞功能簇（ＣＲＣ）聚类方案的基础上， 经考察，７９ 个蛋白质聚成４ 个不同的ＣＲＣ。结果显示出功能相关的蛋白质趋向于聚集在相同的ＣＲＣ中， 如９ 种氨酰ｔＲＮＡ 合成酶和４ 种热休克蛋白分别准确地聚合到ＣＲＣ２ 和ＣＲＣ３ 中。这些结果提示： 在蛋白质组研究资料比较充分的前提下， 通过有效的算法， 蛋白质组表达图谱可以为基因组功能提示提供非常重要的序列相似性之外的功能信息

The Feasibility of Using Proteome Expression Profile for Genome Annotation

By investigating into the expression data from ECO2DBASE (Edition 6), the feasibility of using proteome expression profile for genome annotation was tested. Based on our newly developed CRC (cellular role cluster) method, 79 proteins extracted from ECO2DBASE were clustered into 4 CRCs. Function related proteins tend to be clustered into same CRC. Total 9 aminoacyl tRNA synthetases were clustered into CRC2, whereas 4 heat shock proteins into CRC3. These results indicate: with enough proteome expression data and the efficient algorithm, proteome expression profile can provide very important information for genome annotation, while this kind of information is sequence independent.