1
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Zhao J, Elgeti M, O'Brien ES, Sár CP, Ei Daibani A, Heng J, Sun X, White E, Che T, Hubbell WL, Kobilka BK, Chen C. Ligand efficacy modulates conformational dynamics of the µ-opioid receptor. Nature 2024; 629:474-480. [PMID: 38600384 PMCID: PMC11078757 DOI: 10.1038/s41586-024-07295-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/11/2024] [Indexed: 04/12/2024]
Abstract
The µ-opioid receptor (µOR) is an important target for pain management1 and molecular understanding of drug action on µOR will facilitate the development of better therapeutics. Here we show, using double electron-electron resonance and single-molecule fluorescence resonance energy transfer, how ligand-specific conformational changes of µOR translate into a broad range of intrinsic efficacies at the transducer level. We identify several conformations of the cytoplasmic face of the receptor that interconvert on different timescales, including a pre-activated conformation that is capable of G-protein binding, and a fully activated conformation that markedly reduces GDP affinity within the ternary complex. Interaction of β-arrestin-1 with the μOR core binding site appears less specific and occurs with much lower affinity than binding of Gi.
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Affiliation(s)
- Jiawei Zhao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing, China
- Tsinghua-Peking Joint Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Matthias Elgeti
- Jules Stein Eye Institute and Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA.
- Institute for Drug Discovery, University of Leipzig Medical Center, Leipzig, Germany.
| | - Evan S O'Brien
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecília P Sár
- Institute of Organic and Medicinal Chemistry, School of Pharmaceutical Sciences, University of Pécs, Pécs, Hungary
| | - Amal Ei Daibani
- Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA
| | - Jie Heng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing, China
- Tsinghua-Peking Joint Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China
| | - Xiaoou Sun
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing, China
- Tsinghua-Peking Joint Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China
| | - Elizabeth White
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tao Che
- Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA
| | - Wayne L Hubbell
- Jules Stein Eye Institute and Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Brian K Kobilka
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Chunlai Chen
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing, China.
- School of Life Sciences, Tsinghua University, Beijing, China.
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2
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Boon K, Vanalken N, Meyen E, Schols D, Van Loy T. REGA-SIGN: Development of a Novel Set of NanoBRET-Based G Protein Biosensors. BIOSENSORS 2023; 13:767. [PMID: 37622853 PMCID: PMC10452170 DOI: 10.3390/bios13080767] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/07/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023]
Abstract
Despite G protein-coupled receptors (GPCRs) being important theapeutic targets, the signaling properties of many GPCRs remain poorly characterized. GPCR activation primarily initiates heterotrimeric G protein signaling. To detect ligand-induced G protein activation, Bioluminescence Resonance Energy Transfer (BRET)-based biosensors were previously developed. Here, we designed a novel set of Nanoluciferase (NLuc) BRET-based biosensors (REGA-SIGN) that covers all Gα protein families (i.e., Gαi/o, GαSs/L, Gα12/13 and Gαq/15). REGA-SIGN uses NLuc as a bioluminescent donor and LSS-mKATE2, a red-shifted fluorophore, as an acceptor. Due to the enhanced spectral separation between donor and acceptor emission and the availability of a stable substrate for NLuc, this donor-acceptor pair enables sensitive kinetic assessment of G protein activity. After optimization, the NLuc integration sites into the Gα subunit largely corresponded with previously reported integration sites, except for GαSs/L for which we describe an alternative NLuc insertion site. G protein rescue experiments validated the biological activity of these Gα donor proteins. Direct comparison between EGFP and LSS-mKATE2 as acceptor fluorophores revealed improved sensitivity for nearly all G protein subtypes when using the latter one. Hence, REGA-SIGN can be used as a panel of kinetic G protein biosensors with high sensitivity.
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Affiliation(s)
| | | | | | | | - Tom Van Loy
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Herestraat 49, P.O. Box 1030, 3000 Leuven, Belgium; (K.B.); (N.V.); (E.M.); (D.S.)
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3
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Dutta S, Shukla D. Distinct activation mechanisms regulate subtype selectivity of Cannabinoid receptors. Commun Biol 2023; 6:485. [PMID: 37147497 PMCID: PMC10163236 DOI: 10.1038/s42003-023-04868-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/24/2023] [Indexed: 05/07/2023] Open
Abstract
Design of cannabinergic subtype selective ligands is challenging because of high sequence and structural similarities of cannabinoid receptors (CB1 and CB2). We hypothesize that the subtype selectivity of designed selective ligands can be explained by the ligand binding to the conformationally distinct states between cannabinoid receptors. Analysis of ~ 700 μs of unbiased simulations using Markov state models and VAMPnets identifies the similarities and distinctions between the activation mechanism of both receptors. Structural and dynamic comparisons of metastable intermediate states allow us to observe the distinction in the binding pocket volume change during CB1 and CB2 activation. Docking analysis reveals that only a few of the intermediate metastable states of CB1 show high affinity towards CB2 selective agonists. In contrast, all the CB2 metastable states show a similar affinity for these agonists. These results mechanistically explain the subtype selectivity of these agonists by deciphering the activation mechanism of cannabinoid receptors.
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Affiliation(s)
- Soumajit Dutta
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Diwakar Shukla
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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4
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Zhao J, Elgeti M, O’Brien ES, Sár CP, EI Daibani A, Heng J, Sun X, Che T, Hubbell WL, Kobilka BK, Chen C. Conformational dynamics of the μ-opioid receptor determine ligand intrinsic efficacy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.28.538657. [PMID: 37163120 PMCID: PMC10168371 DOI: 10.1101/2023.04.28.538657] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The μ-opioid receptor (μOR) is an important target for pain management and the molecular understanding of drug action will facilitate the development of better therapeutics. Here we show, using double electron-electron resonance (DEER) and single-molecule fluorescence resonance energy transfer (smFRET), how ligand-specific conformational changes of the μOR translate into a broad range of intrinsic efficacies at the transducer level. We identify several cytoplasmic receptor conformations interconverting on different timescales, including a pre-activated receptor conformation which is capable of G protein binding, and a fully activated conformation which dramatically lowers GDP affinity within the ternary complex. Interaction of β-arrestin-1 with the μOR core binding site appears less specific and occurs with much lower affinity than binding of G protein Gi.
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Affiliation(s)
- Jiawei Zhao
- Tsinghua-Peaking Joint Center for Life Sciences, Beijing Advanced Innovation Center for Structural Biology, School of Medicine, Tsinghua University; Beijing, 100084, China
| | - Matthias Elgeti
- Jules Stein Eye Institute and Department of Chemistry and Biochemistry, University of California; Los Angeles, Los Angeles, CA 90095, USA
| | - Evan S. O’Brien
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305, USA
| | - Cecília P. Sár
- Institute of Organic and Medicinal Chemistry, School of Pharmaceutical Sciences, University of Pécs; Szigeti st. 12, H-7624 Pécs, Hungary
| | - Amal EI Daibani
- Department of Anesthesiology, Washington University School of Medicine; Saint Louis, MO 63110, USA
| | - Jie Heng
- Tsinghua-Peaking Joint Center for Life Sciences, Beijing Advanced Innovation Center for Structural Biology, School of Medicine, Tsinghua University; Beijing, 100084, China
| | - Xiaoou Sun
- Tsinghua-Peaking Joint Center for Life Sciences, Beijing Advanced Innovation Center for Structural Biology, School of Medicine, Tsinghua University; Beijing, 100084, China
| | - Tao Che
- Department of Anesthesiology, Washington University School of Medicine; Saint Louis, MO 63110, USA
| | - Wayne L. Hubbell
- Jules Stein Eye Institute and Department of Chemistry and Biochemistry, University of California; Los Angeles, Los Angeles, CA 90095, USA
| | - Brian K. Kobilka
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305, USA
| | - Chunlai Chen
- Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University; Beijing, 100084, China
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5
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McKay K, Hamilton NB, Remington JM, Schneebeli ST, Li J. Essential Dynamics Ensemble Docking for Structure-Based GPCR Drug Discovery. Front Mol Biosci 2022; 9:879212. [PMID: 35847975 PMCID: PMC9277106 DOI: 10.3389/fmolb.2022.879212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 05/18/2022] [Indexed: 11/23/2022] Open
Abstract
The lack of biologically relevant protein structures can hinder rational design of small molecules to target G protein-coupled receptors (GPCRs). While ensemble docking using multiple models of the protein target is a promising technique for structure-based drug discovery, model clustering and selection still need further investigations to achieve both high accuracy and efficiency. In this work, we have developed an original ensemble docking approach, which identifies the most relevant conformations based on the essential dynamics of the protein pocket. This approach is applied to the study of small-molecule antagonists for the PAC1 receptor, a class B GPCR and a regulator of stress. As few as four representative PAC1 models are selected from simulations of a homology model and then used to screen three million compounds from the ZINC database and 23 experimentally validated compounds for PAC1 targeting. Our essential dynamics ensemble docking (EDED) approach can effectively reduce the number of false negatives in virtual screening and improve the accuracy to seek potent compounds. Given the cost and difficulties to determine membrane protein structures for all the relevant states, our methodology can be useful for future discovery of small molecules to target more other GPCRs, either with or without experimental structures.
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6
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Harkes R, Kukk O, Mukherjee S, Klarenbeek J, van den Broek B, Jalink K. Dynamic FRET-FLIM based screening of signal transduction pathways. Sci Rep 2021; 11:20711. [PMID: 34671065 PMCID: PMC8528867 DOI: 10.1038/s41598-021-00098-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 09/15/2021] [Indexed: 12/28/2022] Open
Abstract
Fluorescence Lifetime Imaging (FLIM) is an intrinsically quantitative method to screen for protein-protein interactions and is frequently used to record the outcome of signal transduction events. With new highly sensitive and photon efficient FLIM instrumentation, the technique also becomes attractive to screen, with high temporal resolution, for fast changes in Förster Resonance Energy Transfer (FRET), such as those occurring upon activation of cell signaling. The second messenger cyclic adenosine monophosphate (cAMP) is rapidly formed following activation of certain cell surface receptors. cAMP is subsequently degraded by a set of phosphodiesterases (PDEs) which display cell-type specific expression and may also affect baseline levels of the messenger. To study which specific PDEs contribute most to cAMP regulation, we knocked down individual PDEs and recorded breakdown rates of cAMP levels following transient stimulation in HeLa cells stably expressing the FRET/FLIM sensor, Epac-SH189. Many hundreds of cells were recorded at 5 s intervals for each condition. FLIM time traces were calculated for every cell, and decay kinetics were obtained. cAMP clearance was significantly slower when PDE3A and, to a lesser amount, PDE10A were knocked down, identifying these isoforms as dominant in HeLa cells. However, taking advantage of the quantitative FLIM data, we found that knockdown of individual PDEs has a very limited effect on baseline cAMP levels. By combining photon-efficient FLIM instrumentation with optimized sensors, systematic gene knockdown and an automated open-source analysis pipeline, our study demonstrates that dynamic screening of transient cell signals has become feasible. The quantitative platform described here provides detailed kinetic analysis of cellular signals in individual cells with unprecedented throughput.
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Affiliation(s)
- Rolf Harkes
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Olga Kukk
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sravasti Mukherjee
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Jeffrey Klarenbeek
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bram van den Broek
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- BioImaging Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kees Jalink
- Cell Biophysics Group, Department of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
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7
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Copits BA, Gowrishankar R, O'Neill PR, Li JN, Girven KS, Yoo JJ, Meshik X, Parker KE, Spangler SM, Elerding AJ, Brown BJ, Shirley SE, Ma KKL, Vasquez AM, Stander MC, Kalyanaraman V, Vogt SK, Samineni VK, Patriarchi T, Tian L, Gautam N, Sunahara RK, Gereau RW, Bruchas MR. A photoswitchable GPCR-based opsin for presynaptic inhibition. Neuron 2021; 109:1791-1809.e11. [PMID: 33979635 PMCID: PMC8194251 DOI: 10.1016/j.neuron.2021.04.026] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/21/2021] [Accepted: 04/26/2021] [Indexed: 12/12/2022]
Abstract
Optical manipulations of genetically defined cell types have generated significant insights into the dynamics of neural circuits. While optogenetic activation has been relatively straightforward, rapid and reversible synaptic inhibition has proven more elusive. Here, we leveraged the natural ability of inhibitory presynaptic GPCRs to suppress synaptic transmission and characterize parapinopsin (PPO) as a GPCR-based opsin for terminal inhibition. PPO is a photoswitchable opsin that couples to Gi/o signaling cascades and is rapidly activated by pulsed blue light, switched off with amber light, and effective for repeated, prolonged, and reversible inhibition. PPO rapidly and reversibly inhibits glutamate, GABA, and dopamine release at presynaptic terminals. Furthermore, PPO alters reward behaviors in a time-locked and reversible manner in vivo. These results demonstrate that PPO fills a significant gap in the neuroscience toolkit for rapid and reversible synaptic inhibition and has broad utility for spatiotemporal control of inhibitory GPCR signaling cascades.
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Affiliation(s)
- Bryan A Copits
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Raaj Gowrishankar
- Center of Excellence in the Neurobiology of Addiction, Pain, and Emotion, Departments of Anesthesiology and Pain Medicine, and Pharmacology, University of Washington, Seattle, WA, USA
| | - Patrick R O'Neill
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA; Shirley and Stefan Hatos Center for Neuropharmacology, Semel Institute, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Jun-Nan Li
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kasey S Girven
- Center of Excellence in the Neurobiology of Addiction, Pain, and Emotion, Departments of Anesthesiology and Pain Medicine, and Pharmacology, University of Washington, Seattle, WA, USA
| | - Judy J Yoo
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Xenia Meshik
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kyle E Parker
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Skylar M Spangler
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Abigail J Elerding
- Center of Excellence in the Neurobiology of Addiction, Pain, and Emotion, Departments of Anesthesiology and Pain Medicine, and Pharmacology, University of Washington, Seattle, WA, USA
| | - Bobbie J Brown
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sofia E Shirley
- Center of Excellence in the Neurobiology of Addiction, Pain, and Emotion, Departments of Anesthesiology and Pain Medicine, and Pharmacology, University of Washington, Seattle, WA, USA
| | - Kelly K L Ma
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexis M Vasquez
- Department of Pharmacology, University of California San Diego, San Diego, CA, USA
| | - M Christine Stander
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Vani Kalyanaraman
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sherri K Vogt
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Vijay K Samineni
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Lin Tian
- Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, CA, USA
| | - N Gautam
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Roger K Sunahara
- Department of Pharmacology, University of California San Diego, San Diego, CA, USA
| | - Robert W Gereau
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael R Bruchas
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; Center of Excellence in the Neurobiology of Addiction, Pain, and Emotion, Departments of Anesthesiology and Pain Medicine, and Pharmacology, University of Washington, Seattle, WA, USA.
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8
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Kim H, Lee HN, Choi J, Seong J. Spatiotemporal Characterization of GPCR Activity and Function during Endosomal Trafficking Pathway. Anal Chem 2021; 93:2010-2017. [PMID: 33400862 DOI: 10.1021/acs.analchem.0c03323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
G protein-coupled receptor (GPCR) is activated by extracellular signals. After their function at plasma membrane, GPCRs are internalized to be desensitized, while emerging evidence suggests that some GPCRs maintain their activity even after internalization. The endosomal trafficking pathway of a prototypic GPCR, β adrenergic receptor 2 (B2AR), is in the range of several hours, however, spatiotemporal B2AR activity during this long-term endosomal trafficking pathway has not been characterized yet. Here, we analyze an agonist-induced real-time B2AR activity and its downstream function at the level of individual vesicles, utilizing a fluorescence resonance energy transfer (FRET)-based B2AR biosensor and cAMP reporters tethered at different trafficking stages of endosomes. Our results report that the internalized B2ARs sustain the activity and maintain the production of cAMP for several hours during the endosomal trafficking pathway. Temporal kinetics of B2AR activity is mathematically well explained by our active-vesicle population model modified from the Ricker model. Therefore, our GPCR monitoring system and a new kinetics model can be applied to understand the spatiotemporal GPCR activity and its downstream function during the endosomal trafficking pathway.
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Affiliation(s)
- Hyunbin Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.,Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Hae Nim Lee
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.,Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Jaesik Choi
- Graduate School of Artificial Intelligence, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Jihye Seong
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.,Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Republic of Korea
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9
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Işbilir A, Duan Sahbaz B, Tuncgenc G, Bünemann M, Lohse MJ, Birgül-Iyison N. Pharmacological Characterization of the Stick Insect Carausius morosus Allatostatin-C Receptor with Its Endogenous Agonist. ACS OMEGA 2020; 5:32183-32194. [PMID: 33376856 PMCID: PMC7758886 DOI: 10.1021/acsomega.0c03382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 11/04/2020] [Indexed: 05/12/2023]
Abstract
G protein-coupled receptors (GPCRs) play a pivotal role in regulating key physiological events in all animal species. Recent advances in collective analysis of genes and proteins revealed numerous potential neuropeptides and GPCRs from insect species, allowing for the characterization of peptide-receptor pairs. In this work, we used fluorescence resonance energy transfer (FRET)-based genetically encoded biosensors in intact mammalian cells to study the pharmacological features of the cognate GPCR of the type-C allatostatin (AST-C) peptide from the stick insect, Carausius morosus. Analysis of multiple downstream pathways revealed that AST-C can activate the human Gi2 protein, and not Gs or Gq, through AST-C receptor (AlstRC). Activated AlstRC recruits β-arrestin2 independent of the Gi protein but stimulates ERK phosphorylation in a Gi protein-dependent manner. Identification of Gαi-, arrestin-, and GRK-like transcripts from C. morosus revealed high evolutionary conservation at the G protein level, while β-arrestins and GRKs displayed less conservation. In conclusion, our study provides experimental and homology-based evidence on the functionality of vertebrate G proteins and downstream signaling biosensors to characterize early signaling steps of an insect GPCR. These results may serve as a scaffold for developing assays to characterize pharmacological and structural aspects of other insect GPCRs and can be used in deorphanization and pesticide studies.
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Affiliation(s)
- Ali Işbilir
- Department
of Molecular Biology and Genetics, Faculty
of Arts and Sciences, Bogazici University, Istanbul 34342, Turkey
- Max
Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin 13125, Germany
- Institute
of Pharmacology and Toxicology, University
of Würzburg, Würzburg 97078, Germany
| | - Burcin Duan Sahbaz
- Department
of Molecular Biology and Genetics, Faculty
of Arts and Sciences, Bogazici University, Istanbul 34342, Turkey
| | - Gunes Tuncgenc
- Department
of Molecular Biology and Genetics, Faculty
of Arts and Sciences, Bogazici University, Istanbul 34342, Turkey
| | - Moritz Bünemann
- Department
of Pharmacology and Clinical Pharmacy, Philipps-University, Marburg 35043, Germany
| | - Martin J. Lohse
- Max
Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin 13125, Germany
- Institute
of Pharmacology and Toxicology, University
of Würzburg, Würzburg 97078, Germany
- ISAR
Bioscience Institute, Planegg/Munich 82152, Germany
| | - Necla Birgül-Iyison
- Department
of Molecular Biology and Genetics, Faculty
of Arts and Sciences, Bogazici University, Istanbul 34342, Turkey
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10
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Kwak H, Koh W, Kim S, Song K, Shin JI, Lee JM, Lee EH, Bae JY, Ha GE, Oh JE, Park YM, Kim S, Feng J, Lee SE, Choi JW, Kim KH, Kim YS, Woo J, Lee D, Son T, Kwon SW, Park KD, Yoon BE, Lee J, Li Y, Lee H, Bae YC, Lee CJ, Cheong E. Astrocytes Control Sensory Acuity via Tonic Inhibition in the Thalamus. Neuron 2020; 108:691-706.e10. [PMID: 32905785 DOI: 10.1016/j.neuron.2020.08.013] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 07/05/2020] [Accepted: 08/14/2020] [Indexed: 12/17/2022]
Abstract
Sensory discrimination is essential for survival. However, how sensory information is finely controlled in the brain is not well defined. Here, we show that astrocytes control tactile acuity via tonic inhibition in the thalamus. Mechanistically, diamine oxidase (DAO) and the subsequent aldehyde dehydrogenase 1a1 (Aldh1a1) convert putrescine into GABA, which is released via Best1. The GABA from astrocytes inhibits synaptically evoked firing at the lemniscal synapses to fine-tune the dynamic range of the stimulation-response relationship, the precision of spike timing, and tactile discrimination. Our findings reveal a novel role of astrocytes in the control of sensory acuity through tonic GABA release.
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Affiliation(s)
- Hankyul Kwak
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Wuhyun Koh
- Division of Bio-Medical Science &Technology, KIST School, Korea University of Science and Technology, Seoul 02792, South Korea; Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea; Center for Cognition and Sociality, Institute for Basic Science, Daejeon 34126, South Korea
| | - Sangwoo Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Kiyeong Song
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Jeong-Im Shin
- Division of Bio-Medical Science &Technology, KIST School, Korea University of Science and Technology, Seoul 02792, South Korea; Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Jung Moo Lee
- Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea; Center for Cognition and Sociality, Institute for Basic Science, Daejeon 34126, South Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, South Korea
| | - Elliot H Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Jin Young Bae
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, Daegu 41566, South Korea
| | - Go Eun Ha
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Ju-Eun Oh
- Molecular Recognition Research Center, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Yongmin Mason Park
- Division of Bio-Medical Science &Technology, KIST School, Korea University of Science and Technology, Seoul 02792, South Korea; Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea; Center for Cognition and Sociality, Institute for Basic Science, Daejeon 34126, South Korea
| | - Sunpil Kim
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon 34126, South Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, South Korea
| | - Jiesi Feng
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
| | - Seung Eun Lee
- Virus Facility, Research Animal Resource Center, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Ji Won Choi
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Ki Hun Kim
- Doping Control Center, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Yoo Sung Kim
- Department of Molecular Biology, College of Natural Science, Dankook University, Cheonan 31116, South Korea
| | - Junsung Woo
- Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Dongsu Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
| | - Taehwang Son
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea
| | - Soon Woo Kwon
- Radiation Medicine Clinical Research Division, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Ki Duk Park
- Division of Bio-Medical Science &Technology, KIST School, Korea University of Science and Technology, Seoul 02792, South Korea; Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul 02792, South Korea; KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, South Korea
| | - Bo-Eun Yoon
- Department of Molecular Biology, College of Natural Science, Dankook University, Cheonan 31116, South Korea
| | - Jaeick Lee
- Doping Control Center, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Hyunbeom Lee
- Molecular Recognition Research Center, Korea Institute of Science and Technology, Seoul 02792, South Korea
| | - Yong Chul Bae
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, Daegu 41566, South Korea
| | - C Justin Lee
- Division of Bio-Medical Science &Technology, KIST School, Korea University of Science and Technology, Seoul 02792, South Korea; Center for Glia-Neuron Interaction, Korea Institute of Science and Technology, Seoul 02792, South Korea; Center for Cognition and Sociality, Institute for Basic Science, Daejeon 34126, South Korea.
| | - Eunji Cheong
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea; POSTECH Biotech Center, POSTECH, Pohang, South Korea.
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11
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Sanchez J, E Huma Z, Lane JR, Liu X, Bridgford JL, Payne RJ, Canals M, Stone MJ. Evaluation and extension of the two-site, two-step model for binding and activation of the chemokine receptor CCR1. J Biol Chem 2018; 294:3464-3475. [PMID: 30567735 DOI: 10.1074/jbc.ra118.006535] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 12/07/2018] [Indexed: 11/06/2022] Open
Abstract
Interactions between secreted immune proteins called chemokines and their cognate G protein-coupled receptors regulate the trafficking of leukocytes in inflammatory responses. The two-site, two-step model describes these interactions. It involves initial binding of the chemokine N-loop/β3 region to the receptor's N-terminal region and subsequent insertion of the chemokine N-terminal region into the transmembrane helical bundle of the receptor concurrent with receptor activation. Here, we test aspects of this model with C-C motif chemokine receptor 1 (CCR1) and several chemokine ligands. First, we compared the chemokine-binding affinities of CCR1 with those of peptides corresponding to the CCR1 N-terminal region. Relatively low affinities of the peptides and poor correlations between CCR1 and peptide affinities indicated that other regions of the receptor may contribute to binding affinity. Second, we evaluated the contributions of the two CCR1-interacting regions of the cognate chemokine ligand CCL7 (formerly monocyte chemoattractant protein-3 (MCP-3)) using chimeras between CCL7 and the non-cognate ligand CCL2 (formerly MCP-1). The results revealed that the chemokine N-terminal region contributes significantly to binding affinity but that differences in binding affinity do not completely account for differences in receptor activation. On the basis of these observations, we propose an elaboration of the two-site, two-step model-the "three-step" model-in which initial interactions of the first site result in low-affinity, nonspecific binding; rate-limiting engagement of the second site enables high-affinity, specific binding; and subsequent conformational rearrangement gives rise to receptor activation.
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Affiliation(s)
- Julie Sanchez
- From the Infection and Immunity Program, Monash Biomedicine Discovery Institute, and the Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia.,the Drug Discovery Biology Program, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Zil E Huma
- From the Infection and Immunity Program, Monash Biomedicine Discovery Institute, and the Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia.,the Drug Discovery Biology Program, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - J Robert Lane
- the Drug Discovery Biology Program, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.,the Centre for Membrane Proteins and Receptors, Nottingham University, Nottingham NG7 2UH, United Kingdom
| | - Xuyu Liu
- the School of Chemistry, The University of Sydney, Sydney, New South Wales 2006, Australia, and
| | - Jessica L Bridgford
- From the Infection and Immunity Program, Monash Biomedicine Discovery Institute, and the Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia.,the Drug Discovery Biology Program, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Richard J Payne
- the School of Chemistry, The University of Sydney, Sydney, New South Wales 2006, Australia, and
| | - Meritxell Canals
- the Drug Discovery Biology Program, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia, .,the Centre for Membrane Proteins and Receptors, Nottingham University, Nottingham NG7 2UH, United Kingdom
| | - Martin J Stone
- From the Infection and Immunity Program, Monash Biomedicine Discovery Institute, and the Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia,
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12
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Gorzkiewicz A, Szemraj J. Brain endocannabinoid signaling exhibits remarkable complexity. Brain Res Bull 2018; 142:33-46. [PMID: 29953913 DOI: 10.1016/j.brainresbull.2018.06.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 06/06/2018] [Accepted: 06/21/2018] [Indexed: 01/04/2023]
Abstract
The endocannabinoid (eCB) signaling system is one of the most extensive of the mammalian brain. Despite the involvement of only few specific ligands and receptors, the system encompasses a vast diversity of triggered mechanisms and driven effects. It mediates a wide range of phenomena, including the regulation of transmitter release, neural excitability, synaptic plasticity, impulse spread, long-term neuronal potentiation, neurogenesis, cell death, lineage segregation, cell migration, inflammation, oxidative stress, nociception and the sleep cycle. It is also known to be involved in the processes of learning and memory formation. This extensive scope of action is attained by combining numerous variables. In a properly functioning brain, the correlations of these variables are kept in a strictly controlled balance; however, this balance is disrupted in many pathological conditions. However, while this balance is known to be disrupted by drugs in the case of addicts, the stimuli and mechanisms influencing the neurodegenerating brain remain elusive. This review examines the multiple factors and phenomena affecting the eCB signaling system in the brain. It evaluates techniques of controlling the eCB system to identify the obstacles in their applications and highlights the crucial interdependent variables that may influence biomedical research outcomes.
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Affiliation(s)
- Anna Gorzkiewicz
- Medical University of Lodz, ul.Mazowiecka 6/8, 92-215, Lodz, Poland.
| | - Janusz Szemraj
- Medical University of Lodz, ul.Mazowiecka 6/8, 92-215, Lodz, Poland
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13
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Madsen J, Sinitskiy AV, Li J, Voth GA. Highly Coarse-Grained Representations of Transmembrane Proteins. J Chem Theory Comput 2017; 13:935-944. [PMID: 28043122 PMCID: PMC5312841 DOI: 10.1021/acs.jctc.6b01076] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Indexed: 01/04/2023]
Abstract
Numerous biomolecules and biomolecular complexes, including transmembrane proteins (TMPs), are symmetric or at least have approximate symmetries. Highly coarse-grained models of such biomolecules, aiming at capturing the essential structural and dynamical properties on resolution levels coarser than the residue scale, must preserve the underlying symmetry. However, making these models obey the correct physics is in general not straightforward, especially at the highly coarse-grained resolution where multiple (∼3-30 in the current study) amino acid residues are represented by a single coarse-grained site. In this paper, we propose a simple and fast method of coarse-graining TMPs obeying this condition. The procedure involves partitioning transmembrane domains into contiguous segments of equal length along the primary sequence. For the coarsest (lowest-resolution) mappings, it turns out to be most important to satisfy the symmetry in a coarse-grained model. As the resolution is increased to capture more detail, however, it becomes gradually more important to match modular repeats in the secondary structure (such as helix-loop repeats) instead. A set of eight TMPs of various complexity, functionality, structural topology, and internal symmetry, representing different classes of TMPs (ion channels, transporters, receptors, adhesion, and invasion proteins), has been examined. The present approach can be generalized to other systems possessing exact or approximate symmetry, allowing for reliable and fast creation of multiscale, highly coarse-grained mappings of large biomolecular assemblies.
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Affiliation(s)
| | | | | | - Gregory A. Voth
- Department of Chemistry,
Institute for Biophysical Dynamics, and James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
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14
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Ayoub MA, Yvinec R, Crépieux P, Poupon A. Computational modeling approaches in gonadotropin signaling. Theriogenology 2016; 86:22-31. [DOI: 10.1016/j.theriogenology.2016.04.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 01/27/2016] [Accepted: 04/13/2016] [Indexed: 01/14/2023]
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15
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Pancreatic Beta Cell G-Protein Coupled Receptors and Second Messenger Interactions: A Systems Biology Computational Analysis. PLoS One 2016; 11:e0152869. [PMID: 27138453 PMCID: PMC4854486 DOI: 10.1371/journal.pone.0152869] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 03/21/2016] [Indexed: 12/17/2022] Open
Abstract
Insulin secretory in pancreatic beta-cells responses to nutrient stimuli and hormonal modulators include multiple messengers and signaling pathways with complex interdependencies. Here we present a computational model that incorporates recent data on glucose metabolism, plasma membrane potential, G-protein-coupled-receptors (GPCR), cytoplasmic and endoplasmic reticulum calcium dynamics, cAMP and phospholipase C pathways that regulate interactions between second messengers in pancreatic beta-cells. The values of key model parameters were inferred from published experimental data. The model gives a reasonable fit to important aspects of experimentally measured metabolic and second messenger concentrations and provides a framework for analyzing the role of metabolic, hormones and neurotransmitters changes on insulin secretion. Our analysis of the dynamic data provides support for the hypothesis that activation of Ca2+-dependent adenylyl cyclases play a critical role in modulating the effects of glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and catecholamines. The regulatory properties of adenylyl cyclase isoforms determine fluctuations in cytoplasmic cAMP concentration and reveal a synergistic action of glucose, GLP-1 and GIP on insulin secretion. On the other hand, the regulatory properties of phospholipase C isoforms determine the interaction of glucose, acetylcholine and free fatty acids (FFA) (that act through the FFA receptors) on insulin secretion. We found that a combination of GPCR agonists activating different messenger pathways can stimulate insulin secretion more effectively than a combination of GPCR agonists for a single pathway. This analysis also suggests that the activators of GLP-1, GIP and FFA receptors may have a relatively low risk of hypoglycemia in fasting conditions whereas an activator of muscarinic receptors can increase this risk. This computational analysis demonstrates that study of second messenger pathway interactions will improve understanding of critical regulatory sites, how different GPCRs interact and pharmacological targets for modulating insulin secretion in type 2 diabetes.
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16
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Nonobe Y, Yokoyama T, Kamikubo Y, Yoshida S, Hisajima N, Shinohara H, Shiraishi Y, Sakurai T, Tabata T. Application of surface plasmon resonance imaging to monitoring G protein-coupled receptor signaling and its modulation in a heterologous expression system. BMC Biotechnol 2016; 16:36. [PMID: 27068216 PMCID: PMC4828886 DOI: 10.1186/s12896-016-0266-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 04/07/2016] [Indexed: 01/30/2023] Open
Abstract
Background G protein-coupled receptors (GPCRs) are ubiquitous surface proteins mediating various biological responses and thus, important targets for therapeutic drugs. GPCRs individually produce their own signaling as well as modulate the signaling of other GPCRs. Real-time observation of GPCR signaling and modulation in living cells is key to molecular study of biological responses and pharmaceutical development. However, fluorescence imaging, the technique widely used for this purpose, requires a fluorescent dye which may inhibit biological responses or a fluorescent-tagged target protein created through time-consuming genetic manipulation. In this study, we applied two-dimensional surface plasmon resonance (SPR) imaging to monitoring the translocation of protein kinase C (PKC), a major GPCR-coupled signaling molecule in the widely used HEK293 cell lines and examined whether the signaling of, and, modulation between heterologously expressed GPCRs can be measured without fluorescent labeling. Results We cultured HEK293 cells on the gold-plated slide glass and evoked SPR at the interface between the cell’s plasma membrane and the gold surface with incident light. The translocation of activated native PKC to the plasma membrane is expected to alter the incident angle-SPR extent relation, and this could be detected as a change in the intensity of light reflection from the specimen illuminated at a fixed incident angle. Direct activation of PKC with 12-O-tetradecanoylphorbol-13-acetate increased the reflection intensity. This increase indeed reported PKC translocation because it was reduced by a pre-treatment with bisindolylmaleimide-1, a PKC inhibitor. We further applied this technique to a stable HEK293 cell line heterologously expressing the GPCRs type-1 metabotropic glutamate receptor (mGluR1) and adenosine A1 receptor (A1R). (RS)-3,5-dihydroxyphenylglycine, a mGluR1 agonist, increased the reflection intensity, and the PKC inhibitor reduced this increase. A pre-treatment with (R)-N6-phenylisopropyladenosine, an A1R-selective agonist suppressed mGluR1-mediated reflection increase. These results suggest that our technique can detect PKC translocation initiated by ligand binding to mGluR1 and its modulation by A1R. Conclusions SPR imaging turned out to be utilizable for monitoring GPCR-mediated PKC translocation and its modulation by a different GPCR in a heterologous expression system. This technique provides a powerful yet easy-to-use tool for molecular study of biological responses and pharmaceutical development.
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Affiliation(s)
- Yuki Nonobe
- Laboratory for Medical Information Sensing, Graduate School of Science and Engineering, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Tomoki Yokoyama
- Laboratory for Medical Information Sensing, Graduate School of Science and Engineering, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Yuji Kamikubo
- Department of Pharmacology, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Sho Yoshida
- Laboratory for Medical Information Sensing, Graduate School of Science and Engineering, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Nozomi Hisajima
- Laboratory for Medical Information Sensing, Graduate School of Science and Engineering, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Hiroaki Shinohara
- Laboratory for Bioelectronics, Graduate School of Innovative Life Science, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Yuki Shiraishi
- Laboratory for Bioelectronics, Graduate School of Innovative Life Science, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan
| | - Takashi Sakurai
- Department of Pharmacology, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Toshihide Tabata
- Laboratory for Medical Information Sensing, Graduate School of Science and Engineering, University of Toyama, 3190 Gokufu, Toyama, Toyama, 930-8555, Japan.
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Sensing Positive versus Negative Reward Signals through Adenylyl Cyclase-Coupled GPCRs in Direct and Indirect Pathway Striatal Medium Spiny Neurons. J Neurosci 2016; 35:14017-30. [PMID: 26468202 DOI: 10.1523/jneurosci.0730-15.2015] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
UNLABELLED Transient changes in striatal dopamine (DA) concentration are considered to encode a reward prediction error (RPE) in reinforcement learning tasks. Often, a phasic DA change occurs concomitantly with a dip in striatal acetylcholine (ACh), whereas other neuromodulators, such as adenosine (Adn), change slowly. There are abundant adenylyl cyclase (AC) coupled GPCRs for these neuromodulators in striatal medium spiny neurons (MSNs), which play important roles in plasticity. However, little is known about the interaction between these neuromodulators via GPCRs. The interaction between these transient neuromodulator changes and the effect on cAMP/PKA signaling via Golf- and Gi/o-coupled GPCR are studied here using quantitative kinetic modeling. The simulations suggest that, under basal conditions, cAMP/PKA signaling could be significantly inhibited in D1R+ MSNs via ACh/M4R/Gi/o and an ACh dip is required to gate a subset of D1R/Golf-dependent PKA activation. Furthermore, the interaction between ACh dip and DA peak, via D1R and M4R, is synergistic. In a similar fashion, PKA signaling in D2+ MSNs is under basal inhibition via D2R/Gi/o and a DA dip leads to a PKA increase by disinhibiting A2aR/Golf, but D2+ MSNs could also respond to the DA peak via other intracellular pathways. This study highlights the similarity between the two types of MSNs in terms of high basal AC inhibition by Gi/o and the importance of interactions between Gi/o and Golf signaling, but at the same time predicts differences between them with regard to the sign of RPE responsible for PKA activation. SIGNIFICANCE STATEMENT Dopamine transients are considered to carry reward-related signal in reinforcement learning. An increase in dopamine concentration is associated with an unexpected reward or salient stimuli, whereas a decrease is produced by omission of an expected reward. Often dopamine transients are accompanied by other neuromodulatory signals, such as acetylcholine and adenosine. We highlight the importance of interaction between acetylcholine, dopamine, and adenosine signals via adenylyl-cyclase coupled GPCRs in shaping the dopamine-dependent cAMP/PKA signaling in striatal neurons. Specifically, a dopamine peak and an acetylcholine dip must interact, via D1 and M4 receptor, and a dopamine dip must interact with adenosine tone, via D2 and A2a receptor, in direct and indirect pathway neurons, respectively, to have any significant downstream PKA activation.
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18
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Zhang R, Kavana M. Quantitative analysis of receptor allosterism and its implication for drug discovery. Expert Opin Drug Discov 2015; 10:763-80. [DOI: 10.1517/17460441.2015.1041498] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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19
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Suurväli J, Pahtma M, Saar R, Paalme V, Nutt A, Tiivel T, Saaremäe M, Fitting C, Cavaillon J, Rüütel Boudinot S. RGS16 Restricts the Pro-Inflammatory Response of Monocytes. Scand J Immunol 2014; 81:23-30. [DOI: 10.1111/sji.12250] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Accepted: 09/26/2014] [Indexed: 02/02/2023]
Affiliation(s)
- J. Suurväli
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - M. Pahtma
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - R. Saar
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - V. Paalme
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - A. Nutt
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - T. Tiivel
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - M. Saaremäe
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
| | - C. Fitting
- Unité Cytokines & Inflammation; Institut Pasteur; Paris France
| | - J.M. Cavaillon
- Unité Cytokines & Inflammation; Institut Pasteur; Paris France
| | - S. Rüütel Boudinot
- Department of Gene Technology; Tallinn University of Technology; Tallinn Estonia
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20
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Williams JT. Desensitization of functional µ-opioid receptors increases agonist off-rate. Mol Pharmacol 2014; 86:52-61. [PMID: 24748657 PMCID: PMC4054003 DOI: 10.1124/mol.114.092098] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 04/17/2014] [Indexed: 11/22/2022] Open
Abstract
Desensitization of µ-opioid receptors (MORs) develops over 5-15 minutes after the application of some, but not all, opioid agonists and lasts for tens of minutes after agonist removal. The decrease in function is receptor selective (homologous) and could result from 1) a reduction in receptor number or 2) a decrease in receptor coupling. The present investigation used photolysis of two caged opioid ligands to examine the kinetics of MOR-induced potassium conductance before and after MOR desensitization. Photolysis of a caged antagonist, carboxynitroveratryl-naloxone (caged naloxone), blocked the current induced by a series of agonists, and the time constant of decline was significantly decreased after desensitization. The increase in the rate of current decay was not observed after partial blockade of receptors with the irreversible antagonist, β-chlornaltrexamine (β-CNA). The time constant of current decay after desensitization was never more rapid than 1 second, suggesting an increased agonist off-rate rather than an increase in the rate of channel closure downstream of the receptor. The rate of G protein-coupled K(+) channel (GIRK) current activation was examined using photolysis of a caged agonist, carboxynitrobenzyl-tyrosine-[Leu(5)]-enkephalin. After acute desensitization or partial irreversible block of MORs with β-CNA, there was an increase in the time it took to reach a peak current. The decrease in the rate of agonist-induced GIRK conductance was receptor selective and dependent on receptor number. The results indicate that opioid receptor desensitization reduced the number of functional receptor and that the remaining active receptors have a reduced agonist affinity.
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Affiliation(s)
- John T Williams
- Vollum Institute, Oregon Health and Science University, Portland, Oregon
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21
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Vilardaga JP, Romero G, Feinstein TN, Wehbi VL. Kinetics and dynamics in the G protein-coupled receptor signaling cascade. Methods Enzymol 2013; 522:337-63. [PMID: 23374192 DOI: 10.1016/b978-0-12-407865-9.00016-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We describe optical and microscopy methods based on Förster resonance energy transfer, fluorescence recovery after photobleaching, and imaging cross-correlation spectroscopy that permit to determine kinetic and dynamic properties of key reactions involved G protein-coupled receptor (GPCR) signaling from the initial ligand binding step to the generation of the second messenger, cAMP. Well suited to determine rate-limiting reactions taking place along a GPCR signaling cascade in live cells, these techniques have also uncovered new concepts in GPCR signaling as well as many interesting mechanistic subtleties by which GPCRs transmit neurotransmitter and hormone signals into cells.
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Affiliation(s)
- Jean-Pierre Vilardaga
- Laboratory for GPCR Biology, Department of Pharmacology and Chemical Biology, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA.
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22
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Heitzler D, Durand G, Gallay N, Rizk A, Ahn S, Kim J, Violin JD, Dupuy L, Gauthier C, Piketty V, Crépieux P, Poupon A, Clément F, Fages F, Lefkowitz RJ, Reiter E. Competing G protein-coupled receptor kinases balance G protein and β-arrestin signaling. Mol Syst Biol 2012; 8:590. [PMID: 22735336 PMCID: PMC3397412 DOI: 10.1038/msb.2012.22] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Accepted: 05/23/2012] [Indexed: 01/14/2023] Open
Abstract
The molecular mechanisms and hidden dynamics governing ERK activation by the angiotensin II type 1A receptor are studied and deciphered, revealing a signal balancing mechanism that is found to be relevant to a range of other seven transmembrane receptors. ![]()
An ODE-based dynamical model of ERK activation by the prototypical angiotensin II type-1A seven transmembrane receptor has been built and validated. In order to deal with a limited number of experimental read-outs, unknown parameters have been inferred by simultaneously fitting control and perturbed conditions. In addition to its well-established function in G-protein uncoupling, G protein-coupled receptor kinase 2 has been shown to exert a strong negative effect on β-arrestin-dependent signaling and by doing so, to balance G-protein and β-arrestin signaling. This novel function of G protein-coupled receptor kinase 2 has also been evidenced in primary vascular smooth muscle cells naturally expressing the AT1AR and in HEK293 cells expressing other 7TMRs.
Seven-transmembrane receptors (7TMRs) are involved in nearly all aspects of chemical communications and represent major drug targets. 7TMRs transmit their signals not only via heterotrimeric G proteins but also through β-arrestins, whose recruitment to the activated receptor is regulated by G protein-coupled receptor kinases (GRKs). In this paper, we combined experimental approaches with computational modeling to decipher the molecular mechanisms as well as the hidden dynamics governing extracellular signal-regulated kinase (ERK) activation by the angiotensin II type 1A receptor (AT1AR) in human embryonic kidney (HEK)293 cells. We built an abstracted ordinary differential equations (ODE)-based model that captured the available knowledge and experimental data. We inferred the unknown parameters by simultaneously fitting experimental data generated in both control and perturbed conditions. We demonstrate that, in addition to its well-established function in the desensitization of G-protein activation, GRK2 exerts a strong negative effect on β-arrestin-dependent signaling through its competition with GRK5 and 6 for receptor phosphorylation. Importantly, we experimentally confirmed the validity of this novel GRK2-dependent mechanism in both primary vascular smooth muscle cells naturally expressing the AT1AR, and HEK293 cells expressing other 7TMRs.
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Affiliation(s)
- Domitille Heitzler
- BIOS Group, INRA, UMR85, Unité Physiologie de la Reproduction et des Comportements, Nouzilly, France
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Janero DR. Cannabinoid-1 receptor (CB1R) blockers as medicines: beyond obesity and cardiometabolic disorders to substance abuse/drug addiction with CB1R neutral antagonists. Expert Opin Emerg Drugs 2012; 17:17-29. [DOI: 10.1517/14728214.2012.660916] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Prakash A, Luthra PM. Insilico study of the A2AR–D2R kinetics and interfacial contact surface for heteromerization. Amino Acids 2012; 43:1451-64. [DOI: 10.1007/s00726-012-1218-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2011] [Accepted: 01/04/2012] [Indexed: 12/28/2022]
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Vilardaga JP, Agnati LF, Fuxe K, Ciruela F. G-protein-coupled receptor heteromer dynamics. J Cell Sci 2011; 123:4215-20. [PMID: 21123619 DOI: 10.1242/jcs.063354] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
G-protein-coupled receptors (GPCRs) represent the largest family of cell surface receptors, and have evolved to detect and transmit a large palette of extracellular chemical and sensory signals into cells. Activated receptors catalyze the activation of heterotrimeric G proteins, which modulate the propagation of second messenger molecules and the activity of ion channels. Classically thought to signal as monomers, different GPCRs often pair up with each other as homo- and heterodimers, which have been shown to modulate signaling to G proteins. Here, we discuss recent advances in GPCR heteromer systems involving the kinetics of the early steps in GPCR signal transduction, the dynamic property of receptor-receptor interactions, and how the formation of receptor heteromers modulate the kinetics of G-protein signaling.
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Affiliation(s)
- Jean-Pierre Vilardaga
- Laboratory for GPCR Biology, Department of Pharmacology and Chemical Biology, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15261, USA.
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