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Need a new rat model?  The RRRC in conjunction with the MU Animal Modeling Core (AMC) can assist with the generation of transgenic rats, create knock-out and knock-in rats using CRISPR/Cas9 technology and genetically manipulate rat embryonic stem cells to make chimeric animals.  Contact us to discuss your rat model needs and how we can help. 
Recent Stories
October 03, 2025
The University of Missouri, home of the RRRC, is closed for business for the holidays at the end of December/beginning of January.  Please be aware that we will not be responding to inquiries, providing services or shipping materials from December 22, 2025 through January 2, 2026. 
August 25, 2025
RRIDs are unique identifiers for key biological resources, genetically enigineered animals and reagents like antibodies.  Piekniewska et al. document how use of RRIDs improves trackability.  Importantly, better citation practices increase research rigor and reproducibility. 
July 30, 2025
NAMs are lab (e.g., organoids and iPSCs) or computer-based methods intended to expand our tools for modeling human biology and disease. While this field is rapidly evolving, the need for animal models remains, especially for situations where a complex biological system is necessary. In addition, animal models serve as vital in vivo controls for the validation and verification of emerging NAMs.  
February 16, 2025
Need a new rat model?  The RRRC in conjunction with the MU Animal Modeling Core (AMC) can assist with the generation of transgenic rats, create knock-out and knock-in rats using CRISPR/Cas9 technology and genetically manipulate rat embryonic stem cells to make chimeric animals.  Contact us to discuss your rat model needs and how we can help. 
July 07, 2024
The LAG-R framework (Laboratory Animal Genetic Reporting) is a set of guidelines to support more complete documentation of the genetic make-up of animals of all species that are used in research, with the aim of bolstering reproducibility, reliability, and overall scientific rigor. See Nature Communications (https://doi.org/10.1038/s41467-024-49439-y).