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GO based Tissue Specific Functions of Mouse using Countable Gene Expression Profiles

机译:使用可数基因表达型材基于鼠标的组织特异性功能

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We present a new method to describe tissue-specific function that leverages the advantage of the Cap Analysis of Gene Expression (CAGE) data. The CAGE expression data represent the number of mRNAs of each gene in a sample. The feature enables us to compare or add the expression amount of genes in the sample. As usual methods compared the gene expression values among tissues for each gene respectively and ruled out to compare them among genes, they have not exploited the feature to reveal tissue specificity. To utilize the feature, we used Gene Ontology terms (GO-terms) as unit to sum up the expression values and described specificities of tissues by them. We regard GO-terms as events that occur in the tissue according to probabilities that are defined by means of the CAGE. Our method is applied to mouse CAGE data on 22 tissues. Among them, we show the results of molecular functions and cellular components on liver. We also show the most expressed genes in liver to compare with our method. The results agree well with well-known specific functions such as amino acid metabolisms of liver. Moreover, the difference of inter-cellular junction among liver, lung, heart, muscle and prostate gland are apparently observed. The results of our method provide researchers a clue to the further research of the tissue roles and the deeper functions of the tissue-specific genes. All the results and supplementary materials are available via our web site.
机译:我们提出了一种描述组织特异性功能的新方法,该功能利用基因表达(笼)数据的帽分析的优点。笼表达数据表示样品中每个基因的mRNA的数量。该功能使我们能够比较或添加样品中基因的表达量。作为常规方法,分别比较了每个基因组织中的基因表达值,并排除在基因中的比较,它们没有利用该特征来揭示组织特异性。利用该特征,我们使用基因本体论术语(GO-术语)作为单元,以总结它们的表达值和描述组织的特异性。我们将GO-术语视为组织中发生的事件,根据笼子定义的概率。我们的方法应用于22个组织的小鼠笼数据。其中,我们展示了肝脏上分子函数和细胞组分的结果。我们还显示肝脏中最表达的基因与我们的方法相比。结果吻合众所周知的特定功能,例如肝脏氨基酸代谢。此外,显然观察到肝脏,肺,心脏,肌肉和前列腺间的细胞间隙的差异。我们的方法结果为研究人员提供了对组织作用的进一步研究和组织特异性基因的更深函数的线索。所有的结果和补充材料都可以通过我们的网站获得。

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