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Phenotypic screening of small molecule libraries by high throughput cell imaging.
J C Yarrow1, Y Feng, Z E Perlman
1Institute of Chemistry and Cell biology, Harvard Medical School, Boston, MA 02115, USA.
Combinatorial Chemistry & High Throughput Screening
|May 29, 2003
Summary
High throughput cell imaging screens identify chemical compounds that affect cell physiology. These methods yielded specific inhibitors, with one mitosis inhibitor targeting Eg5 for cancer therapy research.
Area of Science:
- Cell biology
- Chemical biology
- Drug discovery
Background:
- Screening chemical libraries is crucial for identifying bioactive compounds.
- Understanding cellular processes requires tools to identify compounds affecting specific pathways.
- High throughput screening methods accelerate the discovery of novel research tools and therapeutic leads.
Purpose of the Study:
- To develop and apply high throughput fluorescence cell imaging methods for screening chemical libraries.
- To identify compounds that modulate diverse aspects of cell physiology, including mitosis, migration, and secretion.
- To discover specific inhibitors for research use and potential therapeutic targets.
Main Methods:
- Utilized high throughput fluorescence cell imaging for compound screening.
- Developed distinct screening assays for mitotic arrest, cell migration inhibition, and secretory pathway blockade.
- Employed automated analysis for quantitation of compound effects on cellular physiology.
Main Results:
- Successfully screened chemical libraries to identify compounds affecting cell physiology.
- Obtained specific inhibitors for research applications across multiple cellular processes.
- Identified Eg5 as a potential protein target for cancer chemotherapy through the mitosis screen.
Conclusions:
- High throughput cell imaging is an effective strategy for large-scale compound screening.
- The developed methods provide valuable tools for dissecting cellular functions and identifying drug leads.
- The identification of Eg5 highlights the potential of this approach for discovering cancer therapeutic targets.