NIEHS Superfund Research Program - Research Brief Podcasts
Collaborative Cross Mice Can Fill Data Gaps in Risk Assessment
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NIEHS Superfund Research Program (SRP) grantees showed how the Collaborative Cross (CC) mouse model, which uses genetically diverse mice to capture over 90% of known mouse genetic variations, can account for individual differences in susceptibility to environmental chemicals. Led by Ivan Rusyn, M.D., Ph.D., director of the Texas A&M University SRP Center, researchers measured variability in kidney toxicity and metabolism in CC mice after exposing them to tetrachloroethylene (PERC).