The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments

BackgroundThe Gene Ontology (GO) (http://www.geneontology.org/) contains a set of terms for describing the activity and actions of gene products across all kingdoms of life. Each of these activities is executed in a location within a cell or in the vicinity of a cell. In order to capture this context, the GO includes a sub-ontology called the Cellular Component (CC) ontology (GO-CCO). The primary use of this ontology is for GO annotation, but it has also been used for phenotype annotation, and for the annotation of images. Another ontology with similar scope to the GO-CCO is the Subcellular Anatomy Ontology (SAO), part of the Neuroscience Information Framework Standard (NIFSTD) suite of ontologies. The SAO also covers cell components, but in the domain of neuroscience.DescriptionRecently, the GO-CCO was enriched in content and links to the Biological Process and Molecular Function branches of GO as well as to other ontologies. This was achieved in several ways. We carried out an amalgamation of SAO terms with GO-CCO ones; as a result, nearly 100 new neuroscience-related terms were added to the GO. The GO-CCO also contains relationships to GO Biological Process and Molecular Function terms, as well as connecting to external ontologies such as the Cell Ontology (CL). Terms representing protein complexes in the Protein Ontology (PRO) reference GO-CCO terms for their species-generic counterparts. GO-CCO terms can also be used to search a variety of databases.ConclusionsIn this publication we provide an overview of the GO-CCO, its overall design, and some recent extensions that make use of additional spatial information. One of the most recent developments of the GO-CCO was the merging in of the SAO, resulting in a single unified ontology designed to serve the needs of GO annotators as well as the specific needs of the neuroscience community.

[1]  Eduard H. Hovy,et al.  Annotation , 1935, Glasgow Medical Journal.

[2]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[3]  M. Ashburner,et al.  An ontology for cell types , 2005, Genome Biology.

[4]  Mary E. Mangan,et al.  The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data , 2005, Genome Biology.

[5]  A. Rector,et al.  Relations in biomedical ontologies , 2005, Genome Biology.

[6]  Li Chen,et al.  OntoQuest: exploring ontological data made easy , 2006, VLDB.

[7]  R. Iida,et al.  Human Mpv17-like protein is localized in peroxisomes and regulates expression of antioxidant enzymes. , 2006, Biochemical and biophysical research communications.

[8]  Amarnath Gupta,et al.  A Formal Ontology of Subcellular Neuroanatomy , 2007, Frontiers Neuroinformatics.

[9]  Midori A. Harris,et al.  OBO-Edit - an ontology editor for biologists , 2007, Bioinform..

[10]  Waclaw Kusnierczyk,et al.  Taxonomy-based partitioning of the Gene Ontology , 2008, J. Biomed. Informatics.

[11]  Wacław Kunierczyk,et al.  Taxonomy-based partitioning of the Gene Ontology , 2008 .

[12]  Maryann E Martone,et al.  The cell centered database project: an update on building community resources for managing and sharing 3D imaging data. , 2008, Journal of structural biology.

[13]  Jessica A. Turner,et al.  The NIFSTD and BIRNLex Vocabularies: Building Comprehensive Ontologies for Neuroscience , 2008, Neuroinformatics.

[14]  Hans-Michael Müller,et al.  Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF) , 2008, Neuroinformatics.

[15]  Cynthia L. Smith,et al.  Integrating phenotype ontologies across multiple species , 2010, Genome Biology.

[16]  Chris Mungall,et al.  AmiGO: online access to ontology and annotation data , 2008, Bioinform..

[17]  Lincoln Stein,et al.  Reactome knowledgebase of human biological pathways and processes , 2008, Nucleic Acids Res..

[18]  Rachael P. Huntley,et al.  QuickGO: a web-based tool for Gene Ontology searching , 2009, Bioinform..

[19]  Giorgio Valle,et al.  The Gene Ontology in 2010: extensions and refinements , 2009, Nucleic Acids Res..

[20]  Alexander D. Diehl,et al.  Logical Development of the Cell Ontology , 2011, BMC Bioinformatics.

[21]  Emily Dimmer,et al.  Formalization of taxon-based constraints to detect inconsistencies in annotation and ontology development , 2010, BMC Bioinformatics.

[22]  Melanie I. Stefan,et al.  BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models , 2010, BMC Systems Biology.

[23]  S. Miyagishima Mechanism of Plastid Division: From a Bacterium to an Organelle1 , 2011, Plant Physiology.

[24]  Jian Zhang,et al.  The Protein Ontology: a structured representation of protein forms and complexes , 2010, Nucleic Acids Res..

[25]  S. Lewis,et al.  Uberon, an integrative multi-species anatomy ontology , 2012, Genome Biology.

[26]  Cathy H. Wu,et al.  The representation of protein complexes in the Protein Ontology (PRO) , 2011, BMC Bioinformatics.

[27]  Tanya Z. Berardini,et al.  Cross-product extensions of the Gene Ontology , 2009, J. Biomed. Informatics.

[28]  Alan Ruttenberg,et al.  A strategy for building neuroanatomy ontologies , 2012, Bioinform..

[29]  Amarnath Gupta,et al.  Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach , 2012, Front. Gene..

[30]  Nicholas Burton,et al.  The Virtual Fly Brain browser and query interface , 2012, Bioinform..

[31]  Janan T. Eppig,et al.  The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data , 2012, Mammalian Genome.

[32]  Rafael C. Jimenez,et al.  The IntAct molecular interaction database in 2012 , 2011, Nucleic Acids Res..

[33]  Sebastian Bauer,et al.  Continuous Integration of Open Biological Ontology Libraries , 2012 .

[34]  Prudence Mutowo-Meullenet,et al.  Manual GO annotation of predictive protein signatures: the InterPro approach to GO curation , 2012, Database J. Biol. Databases Curation.

[35]  Barry Smith,et al.  The Plant Ontology as a Tool for Comparative Plant Anatomy and Genomic Analyses , 2012, Plant & cell physiology.

[36]  Chris Mungall,et al.  A knowledge based approach to matching human neurodegenerative disease and animal models , 2013, Front. Neuroinform..

[37]  M. Tia Policies and Guidelines , 2014 .