11/17/2025
In this Tools article, Cao, Peng, and Yang et al. from Huazhong Agricultural University present a high-content image-based phenotyping pipeline for quantitative analysis of organelle morphology. The interpretable feature-based method detects both prominent and subtle phenotypic changes and uncovers Golgi-cilia dynamics associated with the G0/G1 transition and AURKA activity. Read “High-content phenotyping reveals Golgi dynamics and their role in cell cycle regulation” 👉 https://hubs.la/Q03Tmbgb0