Multiparametric Phenotypic Screening System for Profiling Bioactive Compounds Using Human Fetal Hippocampal Neural...

Area of Science:

• Stem cell biology
• Regenerative medicine
• Neuroscience

Background:

• Small-molecule compounds are crucial for understanding stem cell biology and advancing regenerative medicine.
• Identifying compounds that modulate stem cell proliferation and differentiation is key for therapeutic applications.

Purpose of the Study:

• To establish a multiparametric screening system for detecting bioactive compounds affecting human neural stem/progenitor cell (NSC/NPC) fate.
• To analyze the effects of 410 diverse compounds on NSC/NPC self-renewal, neuronal differentiation, and astrocytic differentiation.

Main Methods:

• Development of an automated, medium-throughput, multiparametric screening system using human fetal hippocampal NSCs/NPCs (HIP-009 cells).
• Examination of 410 compounds based on mechanisms of action (MOAs) and chemotypes.
• Profiling of induced cellular phenotypes, including cell fate and morphology.

Main Results:

• The screening system successfully classified compounds with similar MOAs into distinct subgroups based on additional pharmacological effects.
• Identified off-target effects of compounds through matrix analysis of MOAs and structural similarities, such as neurotropic effects of amitriptyline.
• Demonstrated the system's ability to differentiate between mTOR inhibitors and dual mTORC1/mTORC2 inhibitors.

Conclusions:

• The developed automated screening system is effective for discovering compounds that modulate human NSC/NPC cell fate.
• This system supports regenerative medicine by identifying potential therapeutic compounds and aids in understanding stem cell biology.
• The system enables compound fingerprinting based on human stem cell multipotency, revealing nuanced pharmacological profiles.