| Chapter title |
Real-Time Imaging of Nitric Oxide Signals in Individual Cells Using geNOps
|
|---|---|
| Chapter number | 3 |
| Book title |
Nitric Oxide
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7695-9_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7694-2, 978-1-4939-7695-9
|
| Authors |
Emrah Eroglu, Helmut Bischof, Suphachai Charoensin, Markus Waldeck-Weiermaier, Wolfgang F. Graier, Roland Malli, Eroglu, Emrah, Bischof, Helmut, Charoensin, Suphachai, Waldeck-Weiermaier, Markus, Graier, Wolfgang F., Malli, Roland |
| Abstract |
Nitric oxide (NO•) is a versatile signaling molecule which regulates fundamental cellular processes in all domains of life. However, due to the radical nature of NO• it has a very short half-life that makes it challenging to trace its formation, diffusion, and degradation on the level of individual cells. Very recently, we expanded the family of genetically encoded sensors by introducing a novel class of single fluorescent protein-based NO• probes-the geNOps. Once expressed in cells of interest, geNOps selectively respond to NO• by fluorescence quench, which enables real-time monitoring of cellular NO• signals. Here, we describe detailed methods suitable for imaging of NO• signals in mammalian cells. This novel approach may facilitate a broad range of studies to (re)investigate the complex NO• biochemistry in living cells. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Lecturer | 1 | 8% |
| Professor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 42% |
| Agricultural and Biological Sciences | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |