Large-scale inference of gene function through phylogenetic annotation of Gene Ontology terms: case study of the apoptosis and autophagy cellular processes

被引:12
作者
Feuermann, Marc [1 ]
Gaudet, Pascale [2 ]
Mi, Huaiyu [3 ]
Lewis, Suzanna E. [4 ]
Thomas, Paul D. [3 ]
机构
[1] Ctr Med Univ Geneva, SIB Swiss Inst Bioinformat, Swiss Prot Grp, 1 Rue Michel Servet, CH-1211 Geneva 4, Switzerland
[2] Ctr Med Univ Geneva, SIB Swiss Inst Bioinformat, CALIPHO Grp, 1 Rue Michel Servet, CH-1211 Geneva 4, Switzerland
[3] Univ Southern Calif, Keck Sch Med, Dept Prevent Med, Div Bioinformat, Los Angeles, CA USA
[4] Lawrence Berkeley Natl Lab, Genom Div, Berkeley, CA USA
来源
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2016年
基金
美国国家卫生研究院;
关键词
ENDOPLASMIC-RETICULUM; SELECTIVE AUTOPHAGY; MITOCHONDRIA; MITOPHAGY; MEMBRANE; PROTEINS; CONTEXT; DEATH; TREES; TOOL;
D O I
10.1093/database/baw155
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We previously reported a paradigm for large-scale phylogenomic analysis of gene families that takes advantage of the large corpus of experimentally supported Gene Ontology (GO) annotations. This 'GO Phylogenetic Annotation' approach integrates GO annotations from evolutionarily related genes across similar to 100 different organisms in the context of a gene family tree, in which curators build an explicit model of the evolution of gene functions. GO Phylogenetic Annotation models the gain and loss of functions in a gene family tree, which is used to infer the functions of uncharacterized (or incompletely characterized) gene products, even for human proteins that are relatively well studied. Here, we report our results from applying this paradigm to two well-characterized cellular processes, apoptosis and autophagy. This revealed several important observations with respect to GO annotations and how they can be used for function inference. Notably, we applied only a small fraction of the experimentally supported GO annotations to infer function in other family members. The majority of other annotations describe indirect effects, phenotypes or results from high throughput experiments. In addition, we show here how feedback from phylogenetic annotation leads to significant improvements in the PANTHER trees, the GO annotations and GO itself. Thus GO phylogenetic annotation both increases the quantity and improves the accuracy of the GO annotations provided to the research community. We expect these phylogenetically based annotations to be of broad use in gene enrichment analysis as well as other applications of GO annotations.
引用
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页数:11
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