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The Rat Genome Database: Genetic, Genomic, and Phenotypic Data Across Multiple Species. Curr Protoc 2023 Jun;3(6):e804

Date

06/22/2023

Pubmed ID

37347557

Pubmed Central ID

PMC10335880

DOI

10.1002/cpz1.804

Scopus ID

2-s2.0-85162756259 (requires institutional sign-in at Scopus site)

Abstract

The laboratory rat, Rattus norvegicus, is an important model of human health and disease, and experimental findings in the rat have relevance to human physiology and disease. The Rat Genome Database (RGD, https://rgd.mcw.edu) is a model organism database that provides access to a wide variety of curated rat data including disease associations, phenotypes, pathways, molecular functions, biological processes, cellular components, and chemical interactions for genes, quantitative trait loci, and strains. We present an overview of the database followed by specific examples that can be used to gain experience in employing RGD to explore the wealth of functional data available for the rat and other species. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Navigating the Rat Genome Database (RGD) home page Basic Protocol 2: Using the RGD search functions Basic Protocol 3: Searching for quantitative trait loci Basic Protocol 4: Using the RGD genome browser (JBrowse) to find phenotypic annotations Basic Protocol 5: Using OntoMate to find gene-disease data Basic Protocol 6: Using MOET to find gene-ontology enrichment Basic Protocol 7: Using OLGA to generate gene lists for analysis Basic Protocol 8: Using the GA tool to analyze ontology annotations for genes Basic Protocol 9: Using the RGD InterViewer tool to find protein interaction data Basic Protocol 10: Using the RGD Variant Visualizer tool to find genetic variant data Basic Protocol 11: Using the RGD Disease Portals to find disease, phenotype, and other information Basic Protocol 12: Using the RGD Phenotypes & Models Portal to find qualitative and quantitative phenotype data and other rat strain-related information Basic Protocol 13: Using the RGD Pathway Portal to find disease and phenotype data via molecular pathways.

Author List

Laulederkind SJF, Hayman GT, Wang SJ, Kaldunski ML, Vedi M, Demos WM, Tutaj M, Smith JR, Lamers L, Gibson AC, Thorat K, Thota J, Tutaj MA, de Pons JL, Dwinell MR, Kwitek AE

Authors

Melinda R. Dwinell PhD Professor in the Physiology department at Medical College of Wisconsin
G. Thomas Hayman PhD Research Scientist II in the Physiology department at Medical College of Wisconsin
Anne E. Kwitek PhD Professor in the Physiology department at Medical College of Wisconsin
Stanley J. Laulederkind Research Scientist II in the Physiology department at Medical College of Wisconsin
Monika Tutaj Research Scientist II in the Physiology department at Medical College of Wisconsin
Mahima Vedi Research Scientist I in the Physiology department at Medical College of Wisconsin
Shur-Jen Wang Research Scientist II in the Physiology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Animals
Databases, Protein
Genomics
Humans
Oligopeptides
Phenotype
Quantitative Trait Loci
Rats