The impact of focused Gene Ontology curation of specific mammalian systems

The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, suc...

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Published inPloS one Vol. 6; no. 12; p. e27541
Main Authors Alam-Faruque, Yasmin, Huntley, Rachael P, Khodiyar, Varsha K, Camon, Evelyn B, Dimmer, Emily C, Sawford, Tony, Martin, Maria J, O'Donovan, Claire, Talmud, Philippa J, Scambler, Peter, Apweiler, Rolf, Lovering, Ruth C
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 09.12.2011
Public Library of Science (PLoS)
Subjects
Animals
Annotations
Antigens
Arthritis
Automation
Avian flu
Bioinformatics
Biology
Consortia
Controlled vocabularies
Crohn's disease
Crohns disease
Cytokines
Databases, Genetic
Datasets
DNA microarrays
Extracellular matrix
Gene expression
Genes
High-Throughput Nucleotide Sequencing
Humans
Hypertension
Kidney - growth & development
Kidney - metabolism
Kidneys
Macrophages - metabolism
Macrophages - pathology
Mammals - genetics
Molecular Sequence Annotation - methods
Oligonucleotide Array Sequence Analysis
Ontology
Proteins
Proteomes
Statistics as Topic
Surfactants
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Summary:The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/
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Conceived and designed the experiments: RCL RA ECD PS PJT. Performed the experiments: YA-F VKK RCL EBC RPH ECD. Analyzed the data: RPH RCL. Contributed reagents/materials/analysis tools: TJS MJM. Wrote the paper: YA-F RPH ECD COD RCL.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0027541