C57BL/6JGpt-Fgd4em1Cd/Gpt

Mouse Model: Fgd4-KO
Strain Number: T062048

Knockout (KO)

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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.

BASIC INFORMATION
Strain Name: C57BL/6JGpt-Fgd4em1Cd/Gpt
Strain Number: T062048
Official Symbol: Fgd4
Official Full Name: FYVE, RhoGEF and PH domain containing 4
Also Known As: 9030023J02Rik,9330209B17Rik,Frabp,ZFYVE6
NCBI Number: 224014
MGI Number: 2183747
Chromosome: 16
Research Areas: Metabolic research,Developmental Biology,nervous system,Signal Transduction,Cytoskeleton,Protein metabolism,behavior/neurological,Cell biology,Molecular biology,cellular,growth/size/body
Strain Background: [N000013] C57BL/6JGpt
Modification Type: Knockout (KO)
Inventory Status: R&D
Sale Status: RD (Under Development)
Health Status: Specific pathogen free (SPF)
Health Report: Please log in to view
Gene Family: Dbl family Rho GEFsPleckstrin homology domain containingZinc fingers FYVE-type

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.