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Atomic Absorbance Spectroscopy to Measure Intracellular Zinc Pools in Mammalian Cells
Published on: May 16, 2019
Imaging intracellular zinc by stimulated Raman scattering microscopy with a small molecule vibrational probe
Elsy El Khoury1,2, Symara de Melo Silva1, Naixin Qian2
1Department of Chemistry, New York University New York NY 10003 USA daniela.buccella@emory.edu.
Abstract:
Advanced Raman-based techniques, particularly stimulated Raman scattering (SRS) microscopy, have emerged as valuable bioimaging tools. But advances in the development of the chemical toolbox required for detection of biologically relevant species, including metals, has lagged the rapid advances in instrumentation. To date, few responsive probes for dynamic detection of transient and low abundance species have been developed. We describe herein the design and application of CSZin, a small molecule vibrational probe for detection of Zn2+ in biological contexts. The probe, a spiropyran design with a strategically positioned nitrile, undergoes a shift in the stretching frequency of the nitrile group and an increase in the SRS intensity in response to metal-induced opening of the spiropyran. We demonstrate detection of Zn2+ ions in vitro, and the first examples of recognition-based SRS imaging of this metal in live cells. Changes in SRS intensity and ratio reveal changes in basal labile Zn2+ pools in normal and tumorigenic RWPE-1 and -2 cells that result from changes in transporter expression and cation uptake related to cancer progression. Proof-of-concept experiments demonstrate that CSZin can also respond to high concentrations of biologically relevant paramagnetic ions, enabling turn-on detection of metals that typically quench fluorescence. The modular nature of the spiropyran-based sensor may enable facile tuning of the selectivity for sensing of other target ions. This work thus paves the way for the development of a new chemical toolbox and detection strategies, complementary to fluorescence, for biological species that are challenging to image.
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