Related Experiment Video
Updated: Apr 17, 2026
04:52
Author Spotlight: Marmoset Research - Scope and Challenges
Published on: June 9, 2023
2.9K
Prospects for genetically modified non-human primate models, including the common marmoset
1Advanced Research Center, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan; Center of Applied Developmental Biology, Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki, Kanagawa 210-0821, Japan.
Neuroscience Research
|February 17, 2015
Summary
Genetically modified non-human primates (NHPs) offer superior models for life sciences research due to physiological similarities to humans. Advances in reproductive biology now enable the creation of genetically modified NHPs, enhancing disease modeling capabilities.
Area of Science:
- * Life Sciences
- * Biomedical Research
- * Primate Models
Background:
- * Mouse models are widely used but have limitations in human disease research.
- * Non-human primates (NHPs) possess greater physiological, morphological, and anatomical similarity to humans.
- * Genetically modified NHPs are increasingly desired for advanced research.
Purpose of the Study:
- * To review recent advancements in generating genetically modified NHPs.
- * To discuss the potential of NHP models in life sciences.
- * To explore future perspectives for NHP model development.
Main Methods:
- * Review of recent literature on NHP reproductive biology and genetic modification techniques.
- * Focus on gene introduction and alteration in NHP genomes.
- * Case examples including the common marmoset.
Main Results:
- * Significant progress has been made in genetically modifying NHPs.
- * Reproductive biology studies have facilitated gene manipulation in NHPs.
- * Genetically modified NHPs, like the common marmoset, are becoming viable research tools.
Conclusions:
- * Genetically modified NHPs represent a significant advancement for life sciences.
- * These models hold promise for understanding complex pathologies and diseases.
- * Continued development is crucial for realizing the full potential of NHP models.
