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Representing Kidney Development Using the Gene Ontology
Gene Ontology (GO) provides dynamic controlled vocabularies to aid in the description of the functional biological attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). Here we describe collaboration between the renal biomedical research community an...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062467/ https://www.ncbi.nlm.nih.gov/pubmed/24941002 http://dx.doi.org/10.1371/journal.pone.0099864 |
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author | Alam-Faruque, Yasmin Hill, David P. Dimmer, Emily C. Harris, Midori A. Foulger, Rebecca E. Tweedie, Susan Attrill, Helen Howe, Douglas G. Thomas, Stephen Randall Davidson, Duncan Woolf, Adrian S. Blake, Judith A. Mungall, Christopher J. O’Donovan, Claire Apweiler, Rolf Huntley, Rachael P. |
author_facet | Alam-Faruque, Yasmin Hill, David P. Dimmer, Emily C. Harris, Midori A. Foulger, Rebecca E. Tweedie, Susan Attrill, Helen Howe, Douglas G. Thomas, Stephen Randall Davidson, Duncan Woolf, Adrian S. Blake, Judith A. Mungall, Christopher J. O’Donovan, Claire Apweiler, Rolf Huntley, Rachael P. |
author_sort | Alam-Faruque, Yasmin |
collection | PubMed |
description | Gene Ontology (GO) provides dynamic controlled vocabularies to aid in the description of the functional biological attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). Here we describe collaboration between the renal biomedical research community and the GO Consortium to improve the quality and quantity of GO terms describing renal development. In the associated annotation activity, the new and revised terms were associated with gene products involved in renal development and function. This project resulted in a total of 522 GO terms being added to the ontology and the creation of approximately 9,600 kidney-related GO term associations to 940 UniProt Knowledgebase (UniProtKB) entries, covering 66 taxonomic groups. We demonstrate the impact of these improvements on the interpretation of GO term analyses performed on genes differentially expressed in kidney glomeruli affected by diabetic nephropathy. In summary, we have produced a resource that can be utilized in the interpretation of data from small- and large-scale experiments investigating molecular mechanisms of kidney function and development and thereby help towards alleviating renal disease. |
format | Online Article Text |
id | pubmed-4062467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40624672014-06-24 Representing Kidney Development Using the Gene Ontology Alam-Faruque, Yasmin Hill, David P. Dimmer, Emily C. Harris, Midori A. Foulger, Rebecca E. Tweedie, Susan Attrill, Helen Howe, Douglas G. Thomas, Stephen Randall Davidson, Duncan Woolf, Adrian S. Blake, Judith A. Mungall, Christopher J. O’Donovan, Claire Apweiler, Rolf Huntley, Rachael P. PLoS One Research Article Gene Ontology (GO) provides dynamic controlled vocabularies to aid in the description of the functional biological attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). Here we describe collaboration between the renal biomedical research community and the GO Consortium to improve the quality and quantity of GO terms describing renal development. In the associated annotation activity, the new and revised terms were associated with gene products involved in renal development and function. This project resulted in a total of 522 GO terms being added to the ontology and the creation of approximately 9,600 kidney-related GO term associations to 940 UniProt Knowledgebase (UniProtKB) entries, covering 66 taxonomic groups. We demonstrate the impact of these improvements on the interpretation of GO term analyses performed on genes differentially expressed in kidney glomeruli affected by diabetic nephropathy. In summary, we have produced a resource that can be utilized in the interpretation of data from small- and large-scale experiments investigating molecular mechanisms of kidney function and development and thereby help towards alleviating renal disease. Public Library of Science 2014-06-18 /pmc/articles/PMC4062467/ /pubmed/24941002 http://dx.doi.org/10.1371/journal.pone.0099864 Text en © 2014 Alam-Faruque et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Alam-Faruque, Yasmin Hill, David P. Dimmer, Emily C. Harris, Midori A. Foulger, Rebecca E. Tweedie, Susan Attrill, Helen Howe, Douglas G. Thomas, Stephen Randall Davidson, Duncan Woolf, Adrian S. Blake, Judith A. Mungall, Christopher J. O’Donovan, Claire Apweiler, Rolf Huntley, Rachael P. Representing Kidney Development Using the Gene Ontology |
title | Representing Kidney Development Using the Gene Ontology |
title_full | Representing Kidney Development Using the Gene Ontology |
title_fullStr | Representing Kidney Development Using the Gene Ontology |
title_full_unstemmed | Representing Kidney Development Using the Gene Ontology |
title_short | Representing Kidney Development Using the Gene Ontology |
title_sort | representing kidney development using the gene ontology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062467/ https://www.ncbi.nlm.nih.gov/pubmed/24941002 http://dx.doi.org/10.1371/journal.pone.0099864 |
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