4.4 Article

Real-time visualization of distinct nitric oxide generation of nitric oxide synthase isoforms in single cells

Journal

NITRIC OXIDE-BIOLOGY AND CHEMISTRY
Volume 70, Issue -, Pages 59-67

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.niox.2017.09.001

Keywords

eNOS; geNOps; iNOS; Live-cell fluorescence imaging; Nitric oxide; nNOS

Funding

  1. Doctoral College Metabolic and Cardiovascular Disease at the Medical University of Graz - FWF (DKplus Metabolic and Cardiovascular Disease) [W 1226-B18]
  2. Ph.D. program Molecular Medicine (MOLMED) at the Medical University of Graz
  3. Nikon Austria within the Nikon-Center of Excellence, Graz
  4. FWF [P 28529-B27]
  5. Austrian Science Fund (FWF) [P28529] Funding Source: Austrian Science Fund (FWF)

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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 Ca2+ signaling as comparable activator of nNOS and eNOS. Our data demonstrate that upon Ca2+ mobilization nNOS-derived NO signals occur instantly and strictly follow the Ca2+ 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. (C) 2017 The Authors. Published by Elsevier Inc.

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