This study demonstrates the development of a high-throughput screening platform using 3D human induced pluripotent stem cell (iPSC)-derived cortical organoids to identify compounds that modulate neural network activity. These organoids exhibit spontaneous and synchronized calcium oscillations, providing a functional readout for central nervous system (CNS) drug discovery. A screen of 1,280 pharmacologically active compounds identified 111 hits that altered neural network behavior, showcasing the platform’s relevance and robustness for phenotypic screening.
The 3D cortical spheroid model enables robust and reproducible assessment of spontaneous neural network activity. It overcomes limitations in 2D models and rodent systems by offering a human-relevant platform with consistent activity across wells and strong biological relevance. The system reliably identifies neuroactive compounds, supporting its use in CNS phenotypic drug discovery, disease modeling, and functional validation efforts.
Woodruff G, Phillips N, Carromeu C, et al. Screening for modulators of neural network activity in 3D human iPSC-derived cortical spheroids. PLoS One. 2020;15(10):e0240991. doi:10.1371/journal.pone.0240991