High-content phenotyping reveals Golgi dynamics and their role in cell cycle regulation.

ABSTRACT: 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 reveal

SUBMITTER: Cao X 

PROVIDER: S-EPMC12617404 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature