Unknown

Dataset Information

0

Dynamic tuneable G protein-coupled receptor monomer-dimer populations.


ABSTRACT: G protein-coupled receptors (GPCRs) are the largest class of membrane receptors, playing a key role in the regulation of processes as varied as neurotransmission and immune response. Evidence for GPCR oligomerisation has been accumulating that challenges the idea that GPCRs function solely as monomeric receptors; however, GPCR oligomerisation remains controversial primarily due to the difficulties in comparing evidence from very different types of structural and dynamic data. Using a combination of single-molecule and ensemble FRET, double electron-electron resonance spectroscopy, and simulations, we show that dimerisation of the GPCR neurotensin receptor 1 is regulated by receptor density and is dynamically tuneable over the physiological range. We propose a "rolling dimer" interface model in which multiple dimer conformations co-exist and interconvert. These findings unite previous seemingly conflicting observations, provide a compelling mechanism for regulating receptor signalling, and act as a guide for future physiological studies.

SUBMITTER: Dijkman PM 

PROVIDER: S-EPMC5923235 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Dynamic tuneable G protein-coupled receptor monomer-dimer populations.

Dijkman Patricia M PM   Castell Oliver K OK   Goddard Alan D AD   Munoz-Garcia Juan C JC   de Graaf Chris C   Wallace Mark I MI   Watts Anthony A  

Nature communications 20180427 1


G protein-coupled receptors (GPCRs) are the largest class of membrane receptors, playing a key role in the regulation of processes as varied as neurotransmission and immune response. Evidence for GPCR oligomerisation has been accumulating that challenges the idea that GPCRs function solely as monomeric receptors; however, GPCR oligomerisation remains controversial primarily due to the difficulties in comparing evidence from very different types of structural and dynamic data. Using a combination  ...[more]

Similar Datasets

| S-EPMC7979749 | biostudies-literature
| S-EPMC5590656 | biostudies-literature
| S-EPMC4138267 | biostudies-literature
| S-EPMC4658663 | biostudies-literature
| S-EPMC6360119 | biostudies-literature
| S-EPMC4076291 | biostudies-literature
| S-EPMC5548745 | biostudies-literature
| S-EPMC8614102 | biostudies-literature
| S-EPMC5094716 | biostudies-literature
| S-EPMC5766957 | biostudies-literature