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Ex vivo Live Imaging of Single Cell Divisions in Mouse Neuroepithelium
Published on: April 30, 2013
A transgenic mouse model for high content, cell cycle phenotype screening in live primary cells
Richard O Burney1, Alan I Lee, Denise E Leong
1Department of Gynecology and Obstetrics, Stanford University School of Medicine, Stanford, California 94305, USA.
Researchers developed a novel transgenic mouse model for drug discovery. This model uses a fluorescence mitosis biosensor in primary cells, enabling clear detection of cell cycle disruption and apoptosis for identifying new cancer therapeutics.
Area of Science:
- * Biotechnology and Drug Discovery
- * Cell Biology and Genetics
Background:
- * High-content screening (HCS) using cell-based assays is crucial for drug discovery and understanding disease mechanisms.
- * Current methods often require complex cell manipulation like transfection or immunocytochemistry, adding time and cost.
Purpose of the Study:
- * To develop a more efficient method for phenotype analysis in drug discovery.
- * To create a transgenic mouse model for unambiguous, real-time monitoring of cellular processes.
- * To facilitate the discovery of novel chemotherapeutic compounds.
Main Methods:
- * Utilized a transgenic mouse model engineered to express a fluorescence mitosis biosensor in primary cells.
- * Employed time-lapse live fluorescence microscopy to capture cellular events.
- * Analyzed phenotype profiles related to cell cycle disruption and apoptosis at a single time point.
Main Results:
- * The biosensor enabled unambiguous phenotype readouts directly from primary cells, eliminating the need for transfection or immunocytochemistry.
- * Cell cycle disruption and apoptosis were readily detectable using this system.
- * The model successfully demonstrated the potential for generating biosensor-expressing primary cancer cells.
Conclusions:
- * This transgenic mouse model offers a powerful and efficient platform for high-content screening in drug discovery.
- * The system simplifies the analysis of cellular phenotypes, accelerating the identification of potential therapeutic agents.
- * The model holds significant promise for discovering tumor-specific chemotherapeutic compounds by crossing with existing cancer models.
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