Key result
Fluorescent protein-based NO-probes (geNOps) enabled real-time visualization of distinct NO generation kinetics, amplitude, and substrate-dependence among nNOS, eNOS, and iNOS isoforms in single cells.
Novel fluorescent protein-based NO-probes (geNOps) enable the real-time visualization and characterization of distinct NO generation kinetics among different NOS isoforms in single cells.
The members of the nitric oxide synthase (NOS) family, eNOS, nNOS and iNOS, are well-characterized enzymes. However, due to the lack of suitable direct NO sensors, little is known about the kinetic properties of cellular NO generation by the different nitric oxide synthase isoenzymes. Very recently, we developed a novel class of fluorescent protein-based NO-probes, the geNOps, which allow real-time measurement of cellular NO generation and fluctuation. By applying these genetic NO biosensors to nNOS-, eNOS- and iNOS-expressing HEK293 cells we were able to characterize the respective NO dynamics in single cells that exhibited identical Ca 2+ signaling as comparable activator of nNOS and eNOS. Our data demonstrate that upon Ca 2+ mobilization nNOS-derived NO signals occur instantly and strictly follow the Ca 2+ elevation while NO release by eNOS occurs gradually and sustained. To detect high NO levels in cells expressing iNOS, a new ratiometric probe based on two fluorescent proteins was developed. This novel geNOp variant allows the measurement of the high NO levels in cells expressing iNOS. Moreover, we used this probe to study the L-arginine-dependency of NO generation by iNOS on the level of single cells. Our experiments highlight that the geNOps technology is suitable to detect obvious differences in the kinetics, amplitude and substrate-dependence of cellular NO signals-derived from all three nitric oxide synthase isoforms.
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Eroğlu et al. (2017) studied this question. Fluorescent protein-based NO-probes (geNOps) was evaluated on Cellular NO generation and fluctuation kinetics. Fluorescent protein-based NO-probes (geNOps) enabled real-time visualization of distinct NO generation kinetics, amplitude, and substrate-dependence among nNOS, eNOS, and iNOS isoforms in single cells.
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