Guangliang Wang, Surendra K Rajpurohit ... Jeff S Mumm
A novel high-throughput, whole organism chemical screening platform was used to identify existing drugs that increase pancreatic beta-cell mass in zebrafish, implicating unique roles for the NF-κB and serotonergic signaling pathways in regulating pancreatic biology.
Carla S Verissimo, René M Overmeer ... Hugo J Snippert
Libraries of patient-derived tumor organoids are a reliable and scalable model system that can help identify and optimize targeted therapies in a pre-clinical setting.
Chen Farhy, Santosh Hariharan ... Alexey V Terskikh
A novel phenotypic screening platform based on immunofluorescent imaging of histone modifications enables accurate identification of cell fates and environmental perturbations.
Scratch-AID, a deep learning-based system for automatic quantification of mouse scratching behavior, could replace labor-intensive manual quantification and facilitate high through-put anti-itch drug screening.
An in vivo drug screen of FDA-approved compounds in zebrafish identified host-directed therapies against mycobacterial infection, including the drug clemastine, which targets the P2RX7-inflammasome axis to enhance bacterial control.
Francis Grafton, Jaclyn Ho ... Mohammad Ali Mandegar
Deep learning combined with induced pluripotent stem cell technology is an effective method to interrogate cellular phenotypes and predict patterns of cardiotoxicity in vitro.
A novel bioengineered human skeletal muscle model with accurate physiological and pharmacological responses may provide a useful tool for preclinical testing.
