Your browser doesn't support javascript.
loading
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.
Afiliación
  • Kaldunski ML; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Smith JR; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hayman GT; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Brodie K; Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI, USA.
  • De Pons JL; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Demos WM; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Gibson AC; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hill ML; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hoffman MJ; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Lamers L; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Laulederkind SJF; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Nalabolu HS; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Thorat K; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Thota J; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Tutaj M; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Tutaj MA; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Vedi M; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Wang SJ; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Zacher S; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Dwinell MR; Information Services, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Kwitek AE; Department of Biomedical Engineering, The Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
Mamm Genome ; 33(1): 66-80, 2022 03.
Article en En | MEDLINE | ID: mdl-34741192
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / Investigación Biomédica Límite: Animals Idioma: En Revista: Mamm Genome Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / Investigación Biomédica Límite: Animals Idioma: En Revista: Mamm Genome Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos