Data from: High-content phenotyping reveals Golgi dynamics and their role in cell cycle regulation

Recent advances in quantitative bioimage analysis have enabled detailed
analyses of cellular and subcellular morphological features, enhancing our
understanding of cellular functions. Here, we introduce an image-based
phenotyping pipeline designed for the comprehensive analysis of dynamic
organelle morphology, particularly the Golgi apparatus and cilia, during
cell cycle progression. Our approach emphasizes interpretable feature
extraction, enabling detection of both prominent and subtle morphological
changes. By using well-characterized morphological dynamics of
intracellular structures as benchmarks, we demonstrated that our method
can reliably detect established phenotypic changes and serves as a valid
tool for quantitative profiling. Further investigation of the G0/G1
transition revealed an unexplored link between Golgi dynamics and ciliary
disassembly. Specifically, inhibition of the G0/G1 transition correlated
with ciliary persistence and unique Golgi dispersion, involving Aurora
kinase A (AURKA). Our results thus indicate an association of Golgi
morphology with cell cycle re-entry and ciliary dynamics, underscoring the
value of our profiling method in studying cellular regulation in health
and disease.