A Global Transcriptome Analysis of a Dog Model of Congestive Heart Failure With the Human Genome as a Reference
A Global Transcriptome Analysis of a Dog Model of Congestive Heart Failure With the Human Genome as a Reference
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DOI：
10.1016/j.cardfail.2012.09.004
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发表时间：
2012-11-01
影响因子：
6
通讯作者：
Chano, Tokuhiro
中科院分区：
文献类型：
--
作者：
Isono, Takahiro;Matsumoto, Takehiro;Chano, Tokuhiro
背景：充血性心力衰竭（CHF）期间心脏组织的整体分子变化尚未得到充分研究。使用下一代测序仪进行转录组分析是阐明CHF发病机制的有用工具。虽然狗CHF模型有一些优势，但狗的转录组分析受到相对缺乏基因组信息的限制。方法和结果：使用基因组分析仪和Casava软件对CHF犬心脏进行转录组分析。mRNA序列显示与狗参考数据库中的1019个基因中的800个相似。另一方面，这些读取与hg19人类参考数据库中21407个基因中的15000个相似。狗和人类数据库中表达基因的相关性非常高（r = 0.93; P < 0.0001）。以hg19为参考的通路分析显示，CHF模型中p53通路相关基因（P < 10(-10)）和炎症性白细胞介素相关基因（P < 10(-10)）的表达增加。结论：利用人类基因组作为参考，对狗的全球转录组分析是研究CHF等疾病的有效方法。这种方法也可用于分析其他实验动物的疾病模型。（journal of heart failure 2012;18:872-878）
Background: The global molecular changes in cardiac tissue during congestive heart failure (CHF) have not been fully examined. Transcriptome analysis with the use of next-generation sequencers is a useful tool for elucidating the pathogenesis of CHF. Although there are some advantages in a dog CHF model, transcriptome analyses in dogs are limited by the relative lack of genomic information.Methods and Results: The transcriptome analysis of hearts from dogs with CHF was conducted with the use of a genome analyzer and the Casava software. The mRNA sequence reads showed alignments with similar to 800 of 1,019 genes from the dog reference database. On the other hand, the reads aligned with similar to 15,000 of the 21,407 genes in the hg19 human reference database. The correlation of expressed genes was extremely high (r = 0.93; P < .0001) between the dog and human databases. A pathway analysis using the hg19 reference revealed increased expression of p53 pathway related (P < 10(-10)) and inflammatory interleukin related (P < 10(-10)) genes in the CHF model.Conclusions: The use of the human genome as a reference in global transcriptome analyses of dogs is a useful approach for investigating diseases such as CHF. Such an approach would also be useful for analyzing disease models in other experimental animals. (J Cardiac Fail 2012;18:872-878)