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The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research

Model organism research is essential for discovering the mechanisms of human diseases by defining biologically meaningful gene to disease relationships. The Rat Genome Database (RGD, (https://rgd.mcw.edu)) is a cross-species knowledgebase and the premier online resource for rat genetic and physiolog...

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Autores principales: Kaldunski, M. L., Smith, J. R., Hayman, G. T., Brodie, K., De Pons, J. L., Demos, W. M., Gibson, A. C., Hill, M. L., Hoffman, M. J., Lamers, L., Laulederkind, S. J. F., Nalabolu, H. S., Thorat, K., Thota, J., Tutaj, M., Tutaj, M. A., Vedi, M., Wang, S. J., Zacher, S., Dwinell, M. R., Kwitek, A. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570235/
https://www.ncbi.nlm.nih.gov/pubmed/34741192
http://dx.doi.org/10.1007/s00335-021-09932-x
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author Kaldunski, M. L.
Smith, J. R.
Hayman, G. T.
Brodie, K.
De Pons, J. L.
Demos, W. M.
Gibson, A. C.
Hill, M. L.
Hoffman, M. J.
Lamers, L.
Laulederkind, S. J. F.
Nalabolu, H. S.
Thorat, K.
Thota, J.
Tutaj, M.
Tutaj, M. A.
Vedi, M.
Wang, S. J.
Zacher, S.
Dwinell, M. R.
Kwitek, A. E.
author_facet Kaldunski, M. L.
Smith, J. R.
Hayman, G. T.
Brodie, K.
De Pons, J. L.
Demos, W. M.
Gibson, A. C.
Hill, M. L.
Hoffman, M. J.
Lamers, L.
Laulederkind, S. J. F.
Nalabolu, H. S.
Thorat, K.
Thota, J.
Tutaj, M.
Tutaj, M. A.
Vedi, M.
Wang, S. J.
Zacher, S.
Dwinell, M. R.
Kwitek, A. E.
author_sort Kaldunski, M. L.
collection PubMed
description Model organism research is essential for discovering the mechanisms of human diseases by defining biologically meaningful gene to disease relationships. The Rat Genome Database (RGD, (https://rgd.mcw.edu)) is a cross-species knowledgebase and the premier online resource for rat genetic and physiologic data. This rich resource is enhanced by the inclusion and integration of comparative data for human and mouse, as well as other human disease models including chinchilla, dog, bonobo, pig, 13-lined ground squirrel, green monkey, and naked mole-rat. Functional information has been added to records via the assignment of annotations based on sequence similarity to human, rat, and mouse genes. RGD has also imported well-supported cross-species data from external resources. To enable use of these data, RGD has developed a robust infrastructure of standardized ontologies, data formats, and disease- and species-centric portals, complemented with a suite of innovative tools for discovery and analysis. Using examples of single-gene and polygenic human diseases, we illustrate how data from multiple species can help to identify or confirm a gene as involved in a disease and to identify model organisms that can be studied to understand the pathophysiology of a gene or pathway. The ultimate aim of this report is to demonstrate the utility of RGD not only as the core resource for the rat research community but also as a source of bioinformatic tools to support a wider audience, empowering the search for appropriate models for human afflictions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00335-021-09932-x.
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spelling pubmed-85702352021-11-05 The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research Kaldunski, M. L. Smith, J. R. Hayman, G. T. Brodie, K. De Pons, J. L. Demos, W. M. Gibson, A. C. Hill, M. L. Hoffman, M. J. Lamers, L. Laulederkind, S. J. F. Nalabolu, H. S. Thorat, K. Thota, J. Tutaj, M. Tutaj, M. A. Vedi, M. Wang, S. J. Zacher, S. Dwinell, M. R. Kwitek, A. E. Mamm Genome Article Model organism research is essential for discovering the mechanisms of human diseases by defining biologically meaningful gene to disease relationships. The Rat Genome Database (RGD, (https://rgd.mcw.edu)) is a cross-species knowledgebase and the premier online resource for rat genetic and physiologic data. This rich resource is enhanced by the inclusion and integration of comparative data for human and mouse, as well as other human disease models including chinchilla, dog, bonobo, pig, 13-lined ground squirrel, green monkey, and naked mole-rat. Functional information has been added to records via the assignment of annotations based on sequence similarity to human, rat, and mouse genes. RGD has also imported well-supported cross-species data from external resources. To enable use of these data, RGD has developed a robust infrastructure of standardized ontologies, data formats, and disease- and species-centric portals, complemented with a suite of innovative tools for discovery and analysis. Using examples of single-gene and polygenic human diseases, we illustrate how data from multiple species can help to identify or confirm a gene as involved in a disease and to identify model organisms that can be studied to understand the pathophysiology of a gene or pathway. The ultimate aim of this report is to demonstrate the utility of RGD not only as the core resource for the rat research community but also as a source of bioinformatic tools to support a wider audience, empowering the search for appropriate models for human afflictions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00335-021-09932-x. Springer US 2021-11-05 2022 /pmc/articles/PMC8570235/ /pubmed/34741192 http://dx.doi.org/10.1007/s00335-021-09932-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kaldunski, M. L.
Smith, J. R.
Hayman, G. T.
Brodie, K.
De Pons, J. L.
Demos, W. M.
Gibson, A. C.
Hill, M. L.
Hoffman, M. J.
Lamers, L.
Laulederkind, S. J. F.
Nalabolu, H. S.
Thorat, K.
Thota, J.
Tutaj, M.
Tutaj, M. A.
Vedi, M.
Wang, S. J.
Zacher, S.
Dwinell, M. R.
Kwitek, A. E.
The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title_full The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title_fullStr The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title_full_unstemmed The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title_short The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
title_sort rat genome database (rgd) facilitates genomic and phenotypic data integration across multiple species for biomedical research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570235/
https://www.ncbi.nlm.nih.gov/pubmed/34741192
http://dx.doi.org/10.1007/s00335-021-09932-x
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