Simultaneous Zn2+ tracking in multiple organelles using super-resolution morphology-correlated organelle identification in living cells

Zn2+ plays important roles in metabolism and signaling regulation. Subcellular Zn2+ compartmentalization is essential for organelle functions and cell biology, but there is currently no method to determine Zn2+ signaling relationships among more than two different organelles with one probe. Here, we report simultaneous Zn2+ tracking in multiple organelles (Zn-STIMO), a method that uses structured illumination microscopy (SIM) and a single Zn2+ fluorescent probe, allowing super-resolution morphology-correlated organelle identification in living cells. To guarantee SIM imaging quality for organelle identification, we develop a new turn-on Zn2+ fluorescent probe, NapBu-BPEA, by regulating the lipophilicity of naphthalimide-derived Zn2+ probes to make it accumulate in multiple organelles except the nucleus. Zn-STIMO with this probe shows that CCCP-induced mitophagy in HeLa cells is associated with labile Zn2+ enhancement. Therefore, direct organelle identification supported by SIM imaging makes Zn-STIMO a reliable method to determine labile Zn2+ dynamics in various organelles with one probe. Finally, SIM imaging of pluripotent stem cell-derived organoids with NapBu-BPEA demonstrates the potential of super-resolution morphology-correlated organelle identification to track biospecies and events in specific organelles within organoids. Subcellular Zn2+ compartmentalisation is essential for cell biology. Here the authors make a turn-on fluorescent Zn2+ probe that localises to multiple organelles, and correlate its location using organelle morphology derived from structured illumination microscopy.

Automated summary

The study introduced a new method (Zn-STIMO) for tracking zinc ions in multiple organelles using structured illumination microscopy and a single zinc ion fluorescent probe. By developing a new zinc ion fluorescent probe and combining it with SIM imaging technology, the study successfully achieved morphology-correlated organelle identification in living cells.