Journal of the American Chemical Society · 2015 · 214 citations · 37 references
MedicineNeurobiologyNeuroscienceBiomedical ImagingMolecular ImagingMolecular NeuroscienceBlood-brain Barrier BiologyCellular ImagingFluorescence ImagingFluorescence SpectroscopyNeurovascular DysfunctionNeurovascular ImagingCerebral Endothelial Cell BiologyCerebral VasculatureCerebrovascular Endothelial InjuryFluorescence Imaging ProbesFluorescent ProbesPeroxynitrite ChemistryPhotophysical MechanismsTwo-photon Microscopy
Accumulating evidence suggests that formation of peroxynitrite (ONOO(-)) in the cerebral vasculature contributes to the progression of ischemic damage, while the underlying molecular mechanisms remain elusive. To fully understand ONOO(-) biology, efficient tools that can realize the real-time tracing of endogenous ONOO(-) fluxes are indispensable. While a few ONOO(-) fluorescent probes have been reported, direct visualization of ONOO(-) fluxes in the cerebral vasculature of live mice remains a challenge. Herein, we present a fluorescent switch-on probe (NP3) for ONOO(-) imaging. NP3 exhibits good specificity, fast response, and high sensitivity toward ONOO(-) both in vitro and in vivo. Moreover, NP3 is two-photon excitable and readily blood-brain barrier penetrable. These desired photophysical and pharmacokinetic properties endow NP3 with the capability to monitor brain vascular ONOO(-) generation after injury with excellent temporal and spatial resolution. As a proof of concept, NP3 has enabled the direct visualization of neurovascular ONOO(-) formation in ischemia progression in live mouse brain by use of two-photon laser scanning microscopy. Due to these favorable properties, NP3 holds great promise for visualizing endogenous peroxynitrite fluxes in a variety of pathophysiological progressions in vitro and in vivo.
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Two-Photon Laser Scanning Fluorescence Microscopy
Winfried Denk, James H. Strickler, Watt W. Webb · Science · 1990 · 9.4K citations
Fluorescent probes for sensing and imaging
Tasuku Ueno, Tetsuo Nagano · Nature Methods · 2011 · 629 citations