Literature DB >> 12784845

Mouse nomenclature and maintenance of genetically engineered mice.

Carol C Linder1.   

Abstract

Modern genetic engineering technologies enable us to manipulate the mouse genome in increasingly complex ways to model human biology and disease. As a result, the number of mouse strains carrying transgenes or induced mutations has increased markedly. Thorough understanding of strain and gene nomenclature is essential to ensure that investigators know what kind of mouse they have, and what to expect in terms of phenotype. Genetically engineered mice alter gene function by over-expressing, eliminating, or modifying a gene product. The resulting phenotype is often unexpected and not completely understood, necessitating special care and potentially complex breeding and husbandry strategies. Animal care technicians responsible for routine maintenance of the colony, facility managers, veterinarians, and research personnel working with mice should be well informed about the nature of the mutation, distinguishing characteristics, and necessary precautions in handling the mice. Personnel working with mice also must be aware of the multitude of factors intrinsic to the mouse and present in the environment that can influence reproductive performance. Finally, diligent adherence to the maintenance of genetic quality in conjunction with cryopreservation of germplasm is the best insurance against loss of a colony.

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Year:  2003        PMID: 12784845

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  3 in total

1.  Pathology Principles and Practices for Analysis of Animal Models.

Authors:  Sue E Knoblaugh; Tobias M Hohl; Krista M D La Perle
Journal:  ILAR J       Date:  2018-12-01

2.  Impact of Automated Genotyping and Increased Breeding Oversight on Overall Mouse Breeding Colony Productivity.

Authors:  Kelly R VanDenBerg; Katherine Oravecz-Wilson; Lauren Krolikowski; Valerie Hill; Pavan Reddy; Zachary T Freeman
Journal:  Front Physiol       Date:  2022-07-18       Impact factor: 4.755

3.  A knowledge based approach to matching human neurodegenerative disease and animal models.

Authors:  Sarah M Maynard; Christopher J Mungall; Suzanna E Lewis; Fahim T Imam; Maryann E Martone
Journal:  Front Neuroinform       Date:  2013-05-14       Impact factor: 4.081

  3 in total

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