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Cell-cycle-resolved τSTED nanoscopy reveals nanoscale reorganization of TGN46-positive structures

Journal
Cell structure and function (Q1)
Published
12 September 2026
Study design
Unclassified
Evidence level
Level 5, Expert Opinion (CEBM 5)
Authors
Kaoru Katoh, Seigo Tateo, Toutai Mitsuyama, Koichi Kato
PMID
42732940
DOI
10.1247/csf.26065

Why clinicians should know about it

  • Picked for Histology (paper of the day, 14 September 2026): τSTED nanoscopy reveals cell-cycle-dependent TGN46 reorganization

Abstract

The Golgi apparatus is a highly organized membrane system whose structure is remodeled during cell-cycle progression, but nanoscale changes in individual Golgi subdomains during interphase remain incompletely understood. Here, we used Fucci-compatible fluorescence lifetime-based STED (τSTED) nanoscopy to examine cell-cycle-associated reorganization of cis-Golgi and trans-Golgi network (TGN)-associated structures in fixed HeLa cells. By combining Fucci-SA reporters with red/far-red Golgi labeling, large-field sequential imaging, Abberior STAR RED nanobody labeling, and reproducible field-wise lifetime-trajectory-based τSTED reconstruction, we correlated Fucci-defined cell-cycle state with nanoscale Golgi morphology in individual cells. Automated morphometry showed that GM130-positive cis-Golgi and TGN46-positive trans/TGN-associated distribution domains were relatively compact in G1 cells, whereas TGN46-positive structures exhibited an expanded spatial distribution in G2-enriched cells. Optimized τSTED imaging resolved this expansion as dispersed submicron TGN46-positive structures rather than uniform enlargement of the Golgi apparatus. These findings reveal cell-cycle-associated spatial reorganization of TGN46-positive trans/TGN-associated structures and demonstrate the utility of cell-cycle-resolved super-resolution imaging for analyzing organelle architecture.Key words: Golgi apparatus, cell cycling, super-resolution microscopy, τSTED, Fucci.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.