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A targeted proteomics approach for profiling murine cytochrome P450 expression.
Elisabeth M Hersman1, Namandjé N Bumpus
1Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Summary
This study defines cytochrome P450 (P450) enzyme expression in mice using proteomics. It reveals age- and sex-dependent P450 expression patterns, crucial for preclinical drug metabolism research.
Area of Science:
- Pharmacology and Toxicology
- Proteomics
- Biochemistry
Background:
- Cytochrome P450 (P450) enzymes are critical for drug metabolism.
- Mice are vital preclinical models, but comprehensive P450 protein expression data is lacking.
- Understanding P450 expression is key to interpreting mouse drug metabolism studies.
Purpose of the Study:
- To comprehensively define the protein-level expression of P450 enzymes in various mouse tissues.
- To develop and apply a targeted mass spectrometry assay for quantifying P450 enzymes.
- To investigate P450 expression patterns across different ages, sexes, and physiological states (e.g., pregnancy).
Main Methods:
- Global mass spectrometry-based proteomics identified 27 detectable P450 proteins in Balb/c mouse tissues.
- A targeted mass spectrometry assay was developed for sensitive quantification of P450 enzymes.
- The assay was applied to liver microsomes and tissue lysates from mice across developmental stages, ages, sexes, and pregnancy.
Main Results:
- CYP1A2 showed higher abundance in male versus female mouse liver microsomes.
- Hepatic CYP2B9 expression peaked in young mice (3-4 weeks) and was elevated in pregnant mice.
- Sexually dimorphic expression of CYP2B9, 2D26, 2E1, and 4B1 was observed specifically in kidney tissue.
Conclusions:
- A robust targeted proteomics assay for mouse P450 enzymes was established.
- Significant age, sex, and tissue-specific variations in P450 expression were identified.
- These findings provide essential data for improving the translational relevance of mouse models in drug metabolism research.
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