2019
DOI: 10.1038/s41598-019-43657-x
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Temporal dependence of shifts in mu opioid receptor mobility at the cell surface after agonist binding observed by single-particle tracking

Abstract: Agonist binding to the mu opioid receptor (MOR) results in conformational changes that allow recruitment of G-proteins, activation of downstream effectors and eventual desensitization and internalization, all of which could affect receptor mobility. The present study employed single particle tracking (SPT) of quantum dot labeled FLAG-tagged MORs to examine shifts in MOR mobility after agonist binding. FLAG-MORs on the plasma membrane were in both mobile and immobile states under basal conditions. Activation of… Show more

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Cited by 10 publications
(7 citation statements)
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“…Diffusion on the membrane (e.g., lipid, [52] protein, [53] virus, [54] and particle [55] ); 2. Effects of agonists (DAMGO and morphine) on receptor mobility; [56] 3. Intracellular transport in different physiological states (e.g., in early apoptotic cells [57] ); 4.…”
Section: Significances Examples Of Biological Application Limitationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Diffusion on the membrane (e.g., lipid, [52] protein, [53] virus, [54] and particle [55] ); 2. Effects of agonists (DAMGO and morphine) on receptor mobility; [56] 3. Intracellular transport in different physiological states (e.g., in early apoptotic cells [57] ); 4.…”
Section: Significances Examples Of Biological Application Limitationsmentioning
confidence: 99%
“…The diffusion pattern of receptors is not only related to conformational changes of their own but also related to the drug treatment. By investigating the diffusion of FLAG-tagged mu opioid receptor (MOR) in the treatment of DAMGO, a high efficacy agonist, Metz et al [56] demonstrated that the activation of this agonist can lead to an acute increase in the percentage of mobile MORs by identifying their diffusion patterns and coefficients.…”
Section: Membrane Dynamicsmentioning
confidence: 99%
“…The statistical analysis of particle trajectories recorded with single-particle tracking has revolutionised the field of cellular biophysics [1][2][3][4][5]. To name a few representative examples, exquisite information is found on lipid membranes [6][7][8], receptors [9][10][11], ion channels [12][13][14], nucleic acids [15,16], filaments [17], and organelles [18][19][20]. Further, synthetic particles can be used as probes to study cellular rheology [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Single-particle tracking (SPT) has been applied to show that MOPs can be in various mobility states under basal conditions [ 10 , 11 ]. It has also been used to track agonist-dependent changes in MOP mobility over time, but the mobility states were probably affected by a diverse set of downstream effectors [ 12 ]. The dynamic monomer-dimer equilibrium of MOP was described via SPT, demonstrating that the agonist DAMGO, but not morphine, induced dimer formation correlated with β-arrestin 2 binding to MOP [ 13 ].…”
Section: Introductionmentioning
confidence: 99%