Simultaneous Zn2+ tracking in multiple organelles using super-resolution morphology-correlated organelle identification in living cells
Zn 2+ plays important roles in metabolism and signaling regulation. Subcellular Zn 2+ compartmentalization is essential for organelle functions and cell biology, but there is currently no method to determine Zn 2+ signaling relationships among more than two different organelles with one probe. Here,...
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Veröffentlicht in: | Nature communications 2021-01, Vol.12 (1), p.109-109, Article 109 |
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Sprache: | eng |
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Zusammenfassung: | Zn
2+
plays important roles in metabolism and signaling regulation. Subcellular Zn
2+
compartmentalization is essential for organelle functions and cell biology, but there is currently no method to determine Zn
2+
signaling relationships among more than two different organelles with one probe. Here, we report simultaneous Zn
2+
tracking in multiple organelles (Zn-STIMO), a method that uses structured illumination microscopy (SIM) and a single Zn
2+
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 Zn
2+
fluorescent probe, NapBu-BPEA, by regulating the lipophilicity of naphthalimide-derived Zn
2+
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 Zn
2+
enhancement. Therefore, direct organelle identification supported by SIM imaging makes Zn-STIMO a reliable method to determine labile Zn
2+
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 Zn
2+
compartmentalisation is essential for cell biology. Here the authors make a turn-on fluorescent Zn
2+
probe that localises to multiple organelles, and correlate its location using organelle morphology derived from structured illumination microscopy. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-020-20309-7 |