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Analysis of disease-associated objects at the Rat Genome Database

The Rat Genome Database (RGD) is the premier resource for genetic, genomic and phenotype data for the laboratory rat, Rattus norvegicus. In addition to organizing biological data from rats, the RGD team focuses on manual curation of gene–disease associations for rat, human and mouse. In this work, w...

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Autores principales: Wang, Shur-Jen, Laulederkind, Stanley J. F., Hayman, G. T., Smith, Jennifer R., Petri, Victoria, Lowry, Timothy F., Nigam, Rajni, Dwinell, Melinda R., Worthey, Elizabeth A., Munzenmaier, Diane H., Shimoyama, Mary, Jacob, Howard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689439/
https://www.ncbi.nlm.nih.gov/pubmed/23794737
http://dx.doi.org/10.1093/database/bat046
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author Wang, Shur-Jen
Laulederkind, Stanley J. F.
Hayman, G. T.
Smith, Jennifer R.
Petri, Victoria
Lowry, Timothy F.
Nigam, Rajni
Dwinell, Melinda R.
Worthey, Elizabeth A.
Munzenmaier, Diane H.
Shimoyama, Mary
Jacob, Howard J.
author_facet Wang, Shur-Jen
Laulederkind, Stanley J. F.
Hayman, G. T.
Smith, Jennifer R.
Petri, Victoria
Lowry, Timothy F.
Nigam, Rajni
Dwinell, Melinda R.
Worthey, Elizabeth A.
Munzenmaier, Diane H.
Shimoyama, Mary
Jacob, Howard J.
author_sort Wang, Shur-Jen
collection PubMed
description The Rat Genome Database (RGD) is the premier resource for genetic, genomic and phenotype data for the laboratory rat, Rattus norvegicus. In addition to organizing biological data from rats, the RGD team focuses on manual curation of gene–disease associations for rat, human and mouse. In this work, we have analyzed disease-associated strains, quantitative trait loci (QTL) and genes from rats. These disease objects form the basis for seven disease portals. Among disease portals, the cardiovascular disease and obesity/metabolic syndrome portals have the highest number of rat strains and QTL. These two portals share 398 rat QTL, and these shared QTL are highly concentrated on rat chromosomes 1 and 2. For disease-associated genes, we performed gene ontology (GO) enrichment analysis across portals using RatMine enrichment widgets. Fifteen GO terms, five from each GO aspect, were selected to profile enrichment patterns of each portal. Of the selected biological process (BP) terms, ‘regulation of programmed cell death’ was the top enriched term across all disease portals except in the obesity/metabolic syndrome portal where ‘lipid metabolic process’ was the most enriched term. ‘Cytosol’ and ‘nucleus’ were common cellular component (CC) annotations for disease genes, but only the cancer portal genes were highly enriched with ‘nucleus’ annotations. Similar enrichment patterns were observed in a parallel analysis using the DAVID functional annotation tool. The relationship between the preselected 15 GO terms and disease terms was examined reciprocally by retrieving rat genes annotated with these preselected terms. The individual GO term–annotated gene list showed enrichment in physiologically related diseases. For example, the ‘regulation of blood pressure’ genes were enriched with cardiovascular disease annotations, and the ‘lipid metabolic process’ genes with obesity annotations. Furthermore, we were able to enhance enrichment of neurological diseases by combining ‘G-protein coupled receptor binding’ annotated genes with ‘protein kinase binding’ annotated genes. Database URL: http://rgd.mcw.edu
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spelling pubmed-36894392013-06-24 Analysis of disease-associated objects at the Rat Genome Database Wang, Shur-Jen Laulederkind, Stanley J. F. Hayman, G. T. Smith, Jennifer R. Petri, Victoria Lowry, Timothy F. Nigam, Rajni Dwinell, Melinda R. Worthey, Elizabeth A. Munzenmaier, Diane H. Shimoyama, Mary Jacob, Howard J. Database (Oxford) Original Article The Rat Genome Database (RGD) is the premier resource for genetic, genomic and phenotype data for the laboratory rat, Rattus norvegicus. In addition to organizing biological data from rats, the RGD team focuses on manual curation of gene–disease associations for rat, human and mouse. In this work, we have analyzed disease-associated strains, quantitative trait loci (QTL) and genes from rats. These disease objects form the basis for seven disease portals. Among disease portals, the cardiovascular disease and obesity/metabolic syndrome portals have the highest number of rat strains and QTL. These two portals share 398 rat QTL, and these shared QTL are highly concentrated on rat chromosomes 1 and 2. For disease-associated genes, we performed gene ontology (GO) enrichment analysis across portals using RatMine enrichment widgets. Fifteen GO terms, five from each GO aspect, were selected to profile enrichment patterns of each portal. Of the selected biological process (BP) terms, ‘regulation of programmed cell death’ was the top enriched term across all disease portals except in the obesity/metabolic syndrome portal where ‘lipid metabolic process’ was the most enriched term. ‘Cytosol’ and ‘nucleus’ were common cellular component (CC) annotations for disease genes, but only the cancer portal genes were highly enriched with ‘nucleus’ annotations. Similar enrichment patterns were observed in a parallel analysis using the DAVID functional annotation tool. The relationship between the preselected 15 GO terms and disease terms was examined reciprocally by retrieving rat genes annotated with these preselected terms. The individual GO term–annotated gene list showed enrichment in physiologically related diseases. For example, the ‘regulation of blood pressure’ genes were enriched with cardiovascular disease annotations, and the ‘lipid metabolic process’ genes with obesity annotations. Furthermore, we were able to enhance enrichment of neurological diseases by combining ‘G-protein coupled receptor binding’ annotated genes with ‘protein kinase binding’ annotated genes. Database URL: http://rgd.mcw.edu Oxford University Press 2013-06-21 /pmc/articles/PMC3689439/ /pubmed/23794737 http://dx.doi.org/10.1093/database/bat046 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Wang, Shur-Jen
Laulederkind, Stanley J. F.
Hayman, G. T.
Smith, Jennifer R.
Petri, Victoria
Lowry, Timothy F.
Nigam, Rajni
Dwinell, Melinda R.
Worthey, Elizabeth A.
Munzenmaier, Diane H.
Shimoyama, Mary
Jacob, Howard J.
Analysis of disease-associated objects at the Rat Genome Database
title Analysis of disease-associated objects at the Rat Genome Database
title_full Analysis of disease-associated objects at the Rat Genome Database
title_fullStr Analysis of disease-associated objects at the Rat Genome Database
title_full_unstemmed Analysis of disease-associated objects at the Rat Genome Database
title_short Analysis of disease-associated objects at the Rat Genome Database
title_sort analysis of disease-associated objects at the rat genome database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689439/
https://www.ncbi.nlm.nih.gov/pubmed/23794737
http://dx.doi.org/10.1093/database/bat046
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