
pmid: 29157577
G protein-coupled receptors (GPCRs) constitute the largest family of membrane receptors and are of great interest as pharmacological targets. Although the occurrence of GPCR signaling nanodomains has long been hypothesized based on indirect evidence, this and other fundamental aspects of GPCR signaling have been difficult to prove. The advent of single-molecule microscopy methods, which allow direct visualization of individual membrane proteins with unprecedented spatiotemporal resolution, provides unique opportunities to address several of these open questions. Indeed, recent single-molecule studies have revealed that GPCRs and G proteins transiently interact with each other as well as with structural components of the plasma membrane, leading to the formation of dynamic complexes and 'hot spots' for GPCR signaling. Whereas we are only beginning to understand the implications of this unexpected level of complexity, single-molecule approaches are likely to play a crucial role to further dissect the protein-protein interactions that are at the heart of GPCR signaling.
Animals, Humans, Single Molecule Imaging, Protein Binding, Receptors, G-Protein-Coupled, Signal Transduction
Animals, Humans, Single Molecule Imaging, Protein Binding, Receptors, G-Protein-Coupled, Signal Transduction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
