The representation of heart development in the gene ontology.

The representation of heart development in the gene ontology.
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DOI:
10.1016/j.ydbio.2011.03.011
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发表时间:
2011-06-01
影响因子:
2.7
通讯作者:
Lovering RC
Lovering RC
中科院分区:
生物学3区
文献类型:
--
作者:
Khodiyar VK;Hill DP;Howe D;Berardini TZ;Tweedie S;Talmud PJ;Breckenridge R;Bhattarcharya S;Riley P;Scambler P;Lovering RC

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对心脏发育的了解在任何心血管疾病的系统生物学方法中都是至关重要的。对高通量技术(如微阵列和蛋白质组学)产生的数据的解释对这一方法也是至关重要的。然而,表征基因在心脏发育和心血管疾病基础过程中的作用涉及数据分析和先前知识的整合这一不平凡的任务。基因本体论(GO)联盟提供结构化的受控生物词汇表,用于总结所有物种的基因产品先前的功能知识。围棋的一个方面描述了生物过程,如发育和信号传递。为了支持高通量的心血管研究,我们已经开始努力全面描述围棋中的心脏发育;将描述心脏发育的围棋术语的数量从12个扩大到280多个。这一新的本体论描述了心脏的形态发生、特定心脏细胞类型的分化以及信号通路在心脏发育中的参与,并与心脏发育研究界的当前观点及其在文献中的表现相一致。GO的这一延伸使基因产品注释员能够全面捕捉导致心脏发育进程的遗传程序。这将使用户能够整合不同物种的心脏发育数据,从而全面检索关于这一主题的信息。修订的GO结构,结合基因产品注释,应该会改进对各种心血管研究领域的高通量方法的数据的解释,包括心脏发育、先天性心脏病和心脏干细胞研究。此外,我们邀请心脏发展社区为这一重要数据集的扩展做出贡献,以利于这一领域的未来研究。
An understanding of heart development is critical in any systems biology approach to cardiovascular disease. The interpretation of data generated from high-throughput technologies (such as microarray and proteomics) is also essential to this approach. However, characterizing the role of genes in the processes underlying heart development and cardiovascular disease involves the non-trivial task of data analysis and integration of previous knowledge. The Gene Ontology (GO) Consortium provides structured controlled biological vocabularies that are used to summarize previous functional knowledge for gene products across all species. One aspect of GO describes biological processes, such as development and signaling. In order to support high-throughput cardiovascular research, we have initiated an effort to fully describe heart development in GO; expanding the number of GO terms describing heart development from 12 to over 280. This new ontology describes heart morphogenesis, the differentiation of specific cardiac cell types, and the involvement of signaling pathways in heart development and aligns GO with the current views of the heart development research community and its representation in the literature. This extension of GO allows gene product annotators to comprehensively capture the genetic program leading to the developmental progression of the heart. This will enable users to integrate heart development data across species, resulting in the comprehensive retrieval of information about this subject. The revised GO structure, combined with gene product annotations, should improve the interpretation of data from high-throughput methods in a variety of cardiovascular research areas, including heart development, congenital cardiac disease, and cardiac stem cell research. Additionally, we invite the heart development community to contribute to the expansion of this important dataset for the benefit of future research in this area.
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