GOing Forward With the Cardiac Conduction System Using Gene Ontology.
GOing Forward With the Cardiac Conduction System Using Gene Ontology.
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DOI：
10.3389/fgene.2022.802393
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发表时间：
2022
影响因子：
3.7
通讯作者：
Lovering RC
中科院分区：
文献类型：
--
作者：
Chloe Li KY;Cook AC;Lovering RC
心脏传导系统 (CCS) 包括负责动作电位的启动、传播和协调的关键组件。异常的 CCS 发展可导致传导异常，包括病态窦房结综合征、旁路以及房室和束支传导阻滞。基因本体（GO；http://geneontology.org/）是一种宝贵的全球生物信息学资源，它提供描述基因产物功能的结构化、可计算的知识。已知许多基因产物参与 CCS 开发；然而，GO 并没有全面捕获这些信息。为了满足心脏发育研究界的需求，本研究旨在描述文献中报道的与 CCS 发育和/或功能有关的蛋白质的具体作用。 14 个蛋白质被优先进行 GO 注释，这导致使用精心挑选的 GO 术语策划了 15 篇经过同行评审的主要实验文章。创建了 152 个描述性 GO 注释，包括描述窦房结和房室结发育的注释，并将其提交给 GO 联盟数据库。对 35 个关键 CCS 发育蛋白的功能富集分析证实，这项工作改进了该 CCS 数据集的计算机解释。这项工作可能会通过应用全基因组关联研究分析、蛋白质组学和转录组学等高通量方法来改善 CCS 的未来研究。
The cardiac conduction system (CCS) comprises critical components responsible for the initiation, propagation, and coordination of the action potential. Aberrant CCS development can cause conduction abnormalities, including sick sinus syndrome, accessory pathways, and atrioventricular and bundle branch blocks. Gene Ontology (GO; http://geneontology.org/) is an invaluable global bioinformatics resource which provides structured, computable knowledge describing the functions of gene products. Many gene products are known to be involved in CCS development; however, this information is not comprehensively captured by GO. To address the needs of the heart development research community, this study aimed to describe the specific roles of proteins reported in the literature to be involved with CCS development and/or function. 14 proteins were prioritized for GO annotation which led to the curation of 15 peer-reviewed primary experimental articles using carefully selected GO terms. 152 descriptive GO annotations, including those describing sinoatrial node and atrioventricular node development were created and submitted to the GO Consortium database. A functional enrichment analysis of 35 key CCS development proteins confirmed that this work has improved the in-silico interpretation of this CCS dataset. This work may improve future investigations of the CCS with application of high-throughput methods such as genome-wide association studies analysis, proteomics, and transcriptomics.
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影响因子：
14.9
作者：
Gene Ontology Consortium
通讯作者：
Gene Ontology Consortium
影响因子：
14.9
作者：
The Gene Ontology Consortium
通讯作者：
The Gene Ontology Consortium
影响因子：
46.9
作者：
通讯作者：
--
影响因子：
10.5
作者：
Hoogaars, Willem M. H.;Engel, Angela;Christoffels, Vincent M.
通讯作者：
Christoffels, Vincent M.
DOI：
10.1093/database/baw155
发表时间：
2016-12-26
影响因子：
5.8
作者：
Feuermann, Marc;Gaudet, Pascale;Thomas, Paul D.
通讯作者：
Thomas, Paul D.