a Functional Gene Annotation , Institute of Cardiovascular Science, University College London , London , UK.
b SIB Swiss Institute of Bioinformatics , Geneva , Switzerland.
Autophagy. 2018;14(3):419-436. doi: 10.1080/15548627.2017.1415189. Epub 2018 Feb 17.
Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular stresses and ridding cells of foreign material. Perturbations in autophagy have been implicated in a number of pathological conditions such as neurodegeneration, cardiac disease and cancer. The growing knowledge about autophagic mechanisms needs to be collected in a computable and shareable format to allow its use in data representation and interpretation. The Gene Ontology (GO) is a freely available resource that describes how and where gene products function in biological systems. It consists of 3 interrelated structured vocabularies that outline what gene products do at the biochemical level, where they act in a cell and the overall biological objectives to which their actions contribute. It also consists of 'annotations' that associate gene products with the terms. Here we describe how we represent autophagy in GO, how we create and define terms relevant to autophagy researchers and how we interrelate those terms to generate a coherent view of the process, therefore allowing an interoperable description of its biological aspects. We also describe how annotation of gene products with GO terms improves data analysis and interpretation, hence bringing a significant benefit to this field of study.
自噬是一种在真核生物中广泛保守的基本细胞过程。它是细胞用于以受控方式分解物质的策略之一。自噬用于回收细胞成分,响应细胞应激并清除细胞中外来物质。自噬的扰动与许多病理状况有关,如神经退行性疾病、心脏病和癌症。关于自噬机制的新知识需要以可计算和可共享的格式收集,以允许在数据表示和解释中使用。基因本体论(GO)是一个免费提供的资源,它描述了基因产物在生物系统中是如何以及在哪里发挥作用的。它由 3 个相互关联的结构化词汇表组成,概述了基因产物在生化水平上的作用、在细胞中的作用以及它们的作用所贡献的总体生物目标。它还包括将基因产物与术语相关联的“注释”。在这里,我们描述了如何在 GO 中表示自噬,如何创建和定义与自噬研究人员相关的术语,以及如何将这些术语相互关联以生成该过程的连贯视图,从而允许对其生物学方面进行可互操作的描述。我们还描述了如何使用 GO 术语对基因产物进行注释可以改善数据分析和解释,从而为该研究领域带来显著的益处。