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Updated: Jul 10, 2026

Generation of Genetically Modified Mice through the Microinjection of Oocytes
Published on: June 15, 2017
In silico and in vitro pharmacogenetic analysis in mice
Yingying Guo1, Peng Lu, Erin Farrell
1Department of Genetics and Genomics, Roche Palo Alto, Palo Alto, CA 94304, USA.
This study introduces a novel model system combining in vitro hepatic drug metabolism and in silico genetic analysis to rapidly assess interindividual differences in drug metabolism, using testosterone and irinotecan as test cases.
Area of Science:
- Pharmacology
- Genetics
- Drug Metabolism
Background:
- Interindividual variability in drug metabolism poses challenges for effective pharmacotherapy.
- Understanding genetic influences on drug metabolism is crucial for personalized medicine.
Purpose of the Study:
- To develop and validate a combined in vitro-in silico model system for rapid analysis of interindividual differences in drug metabolism.
- To investigate the genetic basis of variability in testosterone and irinotecan metabolism in mice.
Main Methods:
- Established a murine hepatic in vitro drug biotransformation system using 15 inbred mouse strains.
- Integrated in silico genetic analysis to correlate metabolic differences with genetic variations.
- Quantified metabolites of testosterone (16 alpha-hydroxytestosterone) and irinotecan (glucuronidation).
- Confirmed computational predictions using expressed recombinant enzymes.
Main Results:
- Strain-specific differences in 16 alpha-hydroxytestosterone generation correlated with genetic variation in Cyp2b9.
- Strain-specific differences in irinotecan glucuronidation correlated with genetic variation in Ugt1a.
- Experimental results validated the in silico predictions.
Conclusions:
- The combined in vitro-in silico model system effectively analyzes interindividual differences in drug metabolism.
- Genetic variations at Cyp2b9 and Ugt1a loci are key determinants of testosterone and irinotecan metabolism in mice, respectively.
- The mouse model of irinotecan metabolism mirrors human genetic influences on pharmacokinetics and adverse drug reactions.
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