C57BL/6JGpt-Cyp2b10em1Cflox/Gpt
Mouse Model: Cyp2b10-flox
Strain Number: T063196
Conditional knockout (cKO)
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- Quantity: - +
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GemPharmatech Offers the World’s Largest Knockout and Conditional Knockout Library
With over 25,000 mouse models available and thousands of new strains developed annually, GemPharmatech has built the world’s largest knockout and conditional knockout resource library. Every model is generated using cutting-edge gene editing and validated at the genomic level to ensure reliability. Choosing GemPharmatech means more than acquiring a mouse model, it means partnering with a global leader committed to scientific rigor, competitive pricing, and timely delivery of the mice models your research requires.
| Strain Name: | C57BL/6JGpt-Cyp2b10em1Cflox/Gpt |
| Strain Number: | T063196 |
| Official Symbol: | Cyp2b10 |
| Official Full Name: | cytochrome P450, family 2, subfamily b, polypeptide 10 |
| Also Known As: | Cyp2b,Cyp2b20,p16 |
| NCBI Number: | 13088 |
| MGI Number: | 88598 |
| Chromosome: | 7 |
| Research Areas: | Metabolic research,skeleton,Mitochondrial research,Physiological system,Cell biology,Molecular biology,limbs/digits/tail,Lipid Metabolism,endoplasmic reticulum,cytomembrane,oxidordeuctase |
| Strain Background: | [N000013] C57BL/6JGpt |
| Modification Type: | Conditional knockout (cKO) |
| Inventory Status: | R&D |
| Sale Status: | RD (Under Development) |
| Health Status: | Specific pathogen free (SPF) |
Extend the Value of Your Mouse Models with Integrated Preclinical Services
GemPharmatech not only provides access to advanced genetically engineered mouse models but also offers comprehensive preclinical research services to help you maximize their value. Our scientific team can support your studies from model construction through phenotype validation and pharmacology testing, ensuring that every experiment is designed for translational relevance. By pairing this conditional knockout model with GemPharmatech’s preclinical services, you gain an integrated workflow that accelerates discovery, reduces risk, and produces robust, actionable data.