FEB 06, 2014 11:00 AM PST

Rodent housing. Impact of environmental parameters on experimental results and breeding

  • Director of Operations, Site Manager, Charles River Laboratories
      Ernesto de la Cueva is an experience professional in the laboratory animal science and technology field. He has been working in laboratory animal science for over 25 years. During all these years, he has held different, growing responsibility positions in management-related roles in Spain, US, and the UK. He has worked for prestigious institutions such as the Spanish National Cancer Centre (CNIO), Baylor College of Medicine BCM), and Cancer Research UK-University of Cambridge. After his BS, he obtained his PhD in biology (cancer genetics) from the Autonoma University of Madrid with a thesis project about the phenotypic characterization of a p21/p53 double KO mutant model. Ernesto has published several scientific and technical papers and has participated as a speaker at different forums and meetings. He has completed an executive MBA program from the School for Industrial Organizations (EOI) in Madrid, Spain. Since March 2010, Ernesto is responsible for Charles River's Insourcing Solutions business units for Europe operations.


    The environment in which laboratory rodents are kept has an impact on experimental data and breeding performance. The quality of the environment is defined by both the quality of the primary enclosure and the secondary enclosure and their fluctuations. There are regulations and international recommendations for optimal values and ranges of most relevant environmental parameters, but it is actually the whole environment and animal care and use procedures what might (and certainly will) impact experimental results. Standardization of animal models is an issue of paramount relevance in biomedical research and this standardization must include procedures, genetics, health status, but also the environment animals are kept in. The presentation deals with environmental standardization and the impact that lack of control of these variables can have on experimental results.

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