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Cited by 352

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Visualizing Ascorbate-Triggered Release of Labile Copper within Living Cells using a Ratiometric Fluorescent Sensor

Open access
Domaille, Dylan W., Zeng, Li, Chang, Christopher J.·2010·Journal of the American Chemical Society

Abstract

We present the synthesis, properties, and biological applications of Ratio-Coppersensor-1 (RCS1), a new water-soluble fluorescent sensor for ratiometric imaging of copper in living cells. RCS1 combines an asymmetric BODIPY reporter and thioether-based ligand receptor to provide high selectivity and sensitivity for Cu(+) over other biologically relevant metal ions, including Cu(2+) and Zn(2+), a ca. 20-fold fluorescence ratio change upon Cu(+) binding, and visible excitation and emission profiles compatible with standard fluorescence microscopy filter sets. Live-cell confocal microscopy experiments show that RCS1 is membrane-permeable and can sense changes in the levels of labile Cu(+) pools within living cells by ratiometric imaging, including expansion of endogenous stores of exchangeable intracellular Cu(+) triggered by ascorbate stimulation in kidney and brain cells.

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Crossref · 10.1021/ja907778b

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Metadata

Authors
Domaille, D. W., Zeng, L., & Chang, C. J.
Venue
Journal of the American Chemical Society
Published
2010-02-03
Volume
132
Issue
4
Pages
1194-1195
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1997790931
Cited by
352
References
1
FWCI
18.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Visualizing Ascorbate-Triggered Release of Labile Copper within Living Cells using a Ratiometric Fluorescent Sensor. https://app.cochat.ai/papers/10.1021/ja907778b
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Domaille, D. W., Zeng, L., & Chang, C. J. (2010). Visualizing Ascorbate-Triggered Release of Labile Copper within Living Cells using a Ratiometric Fluorescent Sensor. Journal of the American Chemical Society. https://doi.org/10.1021/ja907778b

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.