scholarly journals A G protein-coupled receptor (GPCR) in red: live cell imaging of the kappa opioid receptor–tdTomato fusion protein (KOPR–tdT) in neuronal cells

2013 ◽  
Vol 68 (3) ◽  
pp. 340-345 ◽  
Author(s):  
Peng Huang ◽  
Yi-Ting Chiu ◽  
Chongguang Chen ◽  
Yujun Wang ◽  
Lee-Yuan Liu-Chen
2020 ◽  
Vol 21 (21) ◽  
pp. 7880
Author(s):  
Leonore Mensching ◽  
Sebastian Rading ◽  
Viacheslav Nikolaev ◽  
Meliha Karsak

G-protein coupled cannabinoid CB2 receptor signaling and function is primarily mediated by its inhibitory effect on adenylate cyclase. The visualization and monitoring of agonist dependent dynamic 3′,5′-cyclic adenosine monophosphate (cAMP) signaling at the single cell level is still missing for CB2 receptors. This paper presents an application of a live cell imaging while using a Förster resonance energy transfer (FRET)-based biosensor, Epac1-camps, for quantification of cAMP. We established HEK293 cells stably co-expressing human CB2 and Epac1-camps and quantified cAMP responses upon Forskolin pre-stimulation, followed by treatment with the CB2 ligands JWH-133, HU308, β-caryophyllene, or 2-arachidonoylglycerol. We could identify cells showing either an agonist dependent CB2-response as expected, cells displaying no response, and cells with constitutive receptor activity. In Epac1-CB2-HEK293 responder cells, the terpenoid β-caryophyllene significantly modified the cAMP response through CB2. For all of the tested ligands, a relatively high proportion of cells with constitutively active CB2 receptors was identified. Our method enabled the visualization of intracellular dynamic cAMP responses to the stimuli at single cell level, providing insights into the nature of heterologous CB2 expression systems that contributes to the understanding of Gαi-mediated G-Protein coupled receptor (GPCR) signaling in living cells and opens up possibilities for future investigations of endogenous CB2 responses.


Author(s):  
Anke Teichmann ◽  
Antje Schmidt ◽  
Burkhard Wiesner ◽  
Alexander Oksche ◽  
Ralf Schülein

2017 ◽  
Vol 22 (7) ◽  
pp. 848-858 ◽  
Author(s):  
Rishikesh Kumar Gupta ◽  
Sarpras Swain ◽  
Dinesh Kankanamge ◽  
Pantula Devi Priyanka ◽  
Ranjana Singh ◽  
...  

G protein–coupled receptors (GPCRs) are targets for designing a large fraction of the drugs in the pharmaceutical industry. For GPCR-targeting drug screening using cell-based assays, measurement of cytosolic calcium has been widely used to obtain dose–response profiles. However, it remains challenging to obtain drug-specific features due to cell-to-cell heterogeneity in drug–cell responses obtained from live cell imaging. Here, we present a framework combining live cell imaging of a cell population and a feature extraction method for classification of responses of drugs targeting GPCRs CXCR4 and α2AR. We measured the calcium dynamics using confocal microscopy and compared the responses for SDF-1α and norepinephrine. The results clearly show that the clustering patterns of responses for the two GPCRs are significantly different. Additionally, we show that different drugs targeting the same GPCR induce different calcium response signatures. We also implemented principal component analysis and k means for feature extraction and used nondominated (ND) sorting for ranking a group of drugs at various doses. The presented approach can be used to model a cell population as a mixture of subpopulations. It also offers specific advantages, such as higher spatial resolution, classification of responses, and ranking of drugs, potentially providing a platform for high-content drug screening.


2021 ◽  
Author(s):  
Stephanie E. Crilly ◽  
Wooree Ko ◽  
Zara Y. Weinberg ◽  
Manojkumar A. Puthenveedu

AbstractThe prevailing model for the variety in drug responses is that they stabilize distinct active states of their G protein-coupled receptor (GPCR) targets, allowing coupling to different effectors. However, whether the same ligand can produce different GPCR active states based on the environment of receptors in cells is a fundamental unanswered question. Here we address this question using live cell imaging of conformational biosensors that read out distinct active conformations of the δ-opioid receptor (DOR), a physiologically relevant GPCR localized to Golgi and the surface in neurons. We show that, although Golgi and surface pools of DOR regulated cAMP, the two pools engaged distinct conformational biosensors in response to the same ligand. Further, DOR recruited arrestin on the plasma membrane but not the Golgi. Our results suggest that the same agonist drives different conformations of a GPCR at different locations, allowing receptor coupling to distinct effectors at different locations.


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