SubcellulaRVis: a web-based tool to simplify and visualise subcellular compartment enrichment

被引:16
作者
Watson, Joanne [1 ,2 ]
Smith, Michael [2 ]
Francavilla, Chiara [2 ,3 ]
Schwartz, Jean-Marc [1 ]
机构
[1] Univ Manchester, Fac Biol Med & Hlth, Sch Biol Sci, Div Evolut Infect & Genom Sci, Manchester M13 9PT, Lancs, England
[2] Univ Manchester, Fac Biol Med & Hlth, Sch Biol Sci, Div Mol & Cell Biol, Manchester M13 9PT, Lancs, England
[3] Univ Manchester, Manchester Breast Ctr, Manchester Canc Res Ctr, Manchester M13 9PT, Lancs, England
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会; 英国惠康基金;
关键词
GENE-ONTOLOGY; LOCALIZATION; PROTEINS;
D O I
10.1093/nar/gkac336
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cells contain intracellular compartments, including membrane-bound organelles and the nucleus, and are surrounded by a plasma membrane. Proteins are localised to one or more of these cellular compartments; the correct localisation of proteins is crucial for their correct processing and function. Moreover, proteins and the cellular processes they partake in are regulated by relocalisation in response to various cellular stimuli. High-throughput 'omics experiments result in a list of proteins or genes of interest; one way in which their functional role can be understood is through the knowledge of their subcellular localisation, as deduced through statistical enrichment for Gene Ontology Cellular Component (GOCC) annotations or similar. We have designed a bioinformatics tool, named SubcellulaRVis, that compellingly visualises the results of GOCC enrichment for quick interpretation of the localisation of a group of proteins (rather than single proteins). We demonstrate that SubcellulaRVis precisely describes the subcellular localisation of gene lists whose locations have been previously ascertained. SubcellulaRVis can be accessed via the web (http://phenome.manchester. ac.uk/subcellular/) or as a stand-alone app (https: //github.com/JoWatson2011/subcellularvis) . SubcellulaRVis will be useful for experimental biologists with limited bioinformatics expertise who want to analyse data related to protein (re)localisation and location-specific modules within the intracellular protein network. [GRAPHICS] .
引用
收藏
页码:W718 / W725
页数:8
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