Structural determinants for activation of the Tau kinase CDK5 by the serotonin receptor 5-HT7R.

Computational modeling Cyclin‐dependent kinase 5 (CDK5) Interaction interface Protein–protein complex Serotonin receptor 7 (5-HT7R) Site-directed mutagenesis Tau protein (Tau) and tauopathy

Journal

Cell communication and signaling : CCS
ISSN: 1478-811X
Titre abrégé: Cell Commun Signal
Pays: England
ID NLM: 101170464

Informations de publication

Date de publication:
19 Apr 2024
Historique:
received: 07 12 2023
accepted: 11 04 2024
medline: 20 4 2024
pubmed: 20 4 2024
entrez: 19 4 2024
Statut: epublish

Résumé

Multiple neurodegenerative diseases are induced by the formation and deposition of protein aggregates. In particular, the microtubule-associated protein Tau leads to the development of so-called tauopathies characterized by the aggregation of hyperphosphorylated Tau within neurons. We recently showed that the constitutive activity of the serotonin receptor 7 (5-HT7R) is required for Tau hyperphosphorylation and aggregation through activation of the cyclin-dependent kinase 5 (CDK5). We also demonstrated physical interaction between 5-HT7R and CDK5 at the plasma membrane suggesting that the 5-HT7R/CDK5 complex is an integral part of the signaling network involved in Tau-mediated pathology. Using biochemical, microscopic, molecular biological, computational and AI-based approaches, we investigated structural requirements for the formation of 5-HT7R/CDK5 complex. We demonstrated that 5-HT7R domains responsible for coupling to Gs proteins are not involved in receptor interaction with CDK5. We also created a structural model of the 5-HT7R/CDK5 complex and refined the interaction interface. The model predicted two conserved phenylalanine residues, F278 and F281, within the third intracellular loop of 5-HT7R to be potentially important for complex formation. While site-directed mutagenesis of these residues did not influence Gs protein-mediated receptor signaling, replacement of both phenylalanines by alanine residues significantly reduced 5-HT7R/CDK5 interaction and receptor-mediated CDK5 activation, leading to reduced Tau hyperphosphorylation and aggregation. Molecular dynamics simulations of 5-HT7R/CDK5 complex for wild-type and receptor mutants confirmed binding interface stability of the initial model. Our results provide a structural basis for the development of novel drugs targeting the 5-HT7R/CDK5 interaction interface for the selective treatment of Tau-related disorders, including frontotemporal dementia and Alzheimer's disease.

Sections du résumé

BACKGROUND BACKGROUND
Multiple neurodegenerative diseases are induced by the formation and deposition of protein aggregates. In particular, the microtubule-associated protein Tau leads to the development of so-called tauopathies characterized by the aggregation of hyperphosphorylated Tau within neurons. We recently showed that the constitutive activity of the serotonin receptor 7 (5-HT7R) is required for Tau hyperphosphorylation and aggregation through activation of the cyclin-dependent kinase 5 (CDK5). We also demonstrated physical interaction between 5-HT7R and CDK5 at the plasma membrane suggesting that the 5-HT7R/CDK5 complex is an integral part of the signaling network involved in Tau-mediated pathology.
METHODS METHODS
Using biochemical, microscopic, molecular biological, computational and AI-based approaches, we investigated structural requirements for the formation of 5-HT7R/CDK5 complex.
RESULTS RESULTS
We demonstrated that 5-HT7R domains responsible for coupling to Gs proteins are not involved in receptor interaction with CDK5. We also created a structural model of the 5-HT7R/CDK5 complex and refined the interaction interface. The model predicted two conserved phenylalanine residues, F278 and F281, within the third intracellular loop of 5-HT7R to be potentially important for complex formation. While site-directed mutagenesis of these residues did not influence Gs protein-mediated receptor signaling, replacement of both phenylalanines by alanine residues significantly reduced 5-HT7R/CDK5 interaction and receptor-mediated CDK5 activation, leading to reduced Tau hyperphosphorylation and aggregation. Molecular dynamics simulations of 5-HT7R/CDK5 complex for wild-type and receptor mutants confirmed binding interface stability of the initial model.
CONCLUSIONS CONCLUSIONS
Our results provide a structural basis for the development of novel drugs targeting the 5-HT7R/CDK5 interaction interface for the selective treatment of Tau-related disorders, including frontotemporal dementia and Alzheimer's disease.

Identifiants

pubmed: 38641599
doi: 10.1186/s12964-024-01612-y
pii: 10.1186/s12964-024-01612-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

233

Subventions

Organisme : Hannover Biomedical Research School - Graduate School of Excellence
ID : StrucMed-Scholarship
Organisme : Hannover Biomedical Research School - Graduate School of Excellence
ID : StrucMed-Scholarship
Organisme : Hannover Biomedical Research School - Graduate School of Excellence
ID : StrucMed-Scholarship
Organisme : Korea Institute of Science and Technology Information (KISTI-HPC)
ID : KSC-2022-CRE-0435
Organisme : Korea Institute of Science and Technology Information (KISTI-HPC)
ID : KSC-2022-CRE-0435
Organisme : Korea Institute Science and Technology (KIST) institutional Program
ID : 2E32161
Organisme : Korea Institute Science and Technology (KIST) institutional Program
ID : 2E32161
Organisme : Deutsche Forschungsgemeinschaft
ID : LA4465
Organisme : Deutsche Forschungsgemeinschaft
ID : PO732

Informations de copyright

© 2024. The Author(s).

Références

Arendt T, Stieler JT, Holzer M. Tau and tauopathies. Brain Res Bull. 2016;126:238–92.
pubmed: 27615390 doi: 10.1016/j.brainresbull.2016.08.018
Josephs KA. Current Understanding of Neurodegenerative Diseases Associated With the Protein Tau. Mayo Clin Proc. 2017;92:1291–303.
pubmed: 28778262 doi: 10.1016/j.mayocp.2017.04.016
Wang Y, Mandelkow E. Tau in physiology and pathology. Nat Rev Neurosci. 2016;17:22–35.
doi: 10.1038/nrn.2015.1
Mondragón-Rodríguez S, Trillaud-Doppia E, Dudilot A, Bourgeois C, Lauzon M, Leclerc N, et al. Interaction of Endogenous Tau Protein with Synaptic Proteins Is Regulated by N-Methyl-d-aspartate Receptor-dependent Tau Phosphorylation. J Biol Chem. 2012;287:32040–53.
pubmed: 22833681 pmcid: 3442535 doi: 10.1074/jbc.M112.401240
Frandemiche ML, De Seranno S, Rush T, Borel E, Elie A, Arnal I, et al. Activity-Dependent Tau Protein Translocation to Excitatory Synapse Is Disrupted by Exposure to Amyloid-Beta Oligomers. J Neurosci. 2014;34:6084–97.
pubmed: 24760868 pmcid: 6608293 doi: 10.1523/JNEUROSCI.4261-13.2014
Velazquez R, Ferreira E, Tran A, Turner EC, Belfiore R, Branca C, et al. Acute tau knockdown in the hippocampus of adult mice causes learning and memory deficits. Aging Cell. 2018;17: e12775.
pubmed: 29749079 pmcid: 6052471 doi: 10.1111/acel.12775
Biundo F, Del Prete D, Zhang H, Arancio O, D’Adamio L. A role for tau in learning, memory and synaptic plasticity. Sci Rep. 2018;8:3184.
pubmed: 29453339 pmcid: 5816660 doi: 10.1038/s41598-018-21596-3
Buée L, Bussière T, Buée-Scherrer V, Delacourte A, Hof PR. Tau protein isoforms, phosphorylation and role in neurodegenerative disorders. Brain Res Brain Res Rev. 2000;33:95–130.
pubmed: 10967355 doi: 10.1016/S0165-0173(00)00019-9
Tracy TE, Gan L. Tau-mediated synaptic and neuronal dysfunction in neurodegenerative disease. Curr Opin Neurobiol. 2018;51:134–8.
pubmed: 29753269 pmcid: 6130905 doi: 10.1016/j.conb.2018.04.027
Kandimalla R, Manczak M, Yin X, Wang R, Reddy PH. Hippocampal phosphorylated tau induced cognitive decline, dendritic spine loss and mitochondrial abnormalities in a mouse model of Alzheimer’s disease. Hum Mol Genet. 2018;27:30–40.
pubmed: 29040533 doi: 10.1093/hmg/ddx381
Ao C, Li C, Chen J, Tan J, Zeng L. The role of Cdk5 in neurological disorders. Front Cell Neurosci. 2022;16: 951202.
pubmed: 35966199 pmcid: 9368323 doi: 10.3389/fncel.2022.951202
Cortés N, Guzmán-Martínez L, Andrade V, González A, Maccioni RB. CDK5: A Unique CDK and Its Multiple Roles in the Nervous System. JAD. 2019;68:843–55.
pubmed: 30856110 doi: 10.3233/JAD-180792
Shah K, Lahiri DK. Cdk5 activity in the brain - multiple paths of regulation. J Cell Sci. 2014;127:2391–400.
pubmed: 24879856 pmcid: 4038939 doi: 10.1242/jcs.147553
Labus J, Röhrs K-F, Ackmann J, Varbanov H, Müller FE, Jia S, et al. Amelioration of Tau pathology and memory deficits by targeting 5-HT7 receptor. Prog Neurobiol. 2021;197: 101900.
pubmed: 32841723 doi: 10.1016/j.pneurobio.2020.101900
Bryksin AV, Matsumura I. Overlap extension PCR cloning: a simple and reliable way to create recombinant plasmids. Biotechniques. 2010;48:463–5.
pubmed: 20569222 pmcid: 3121328 doi: 10.2144/000113418
Salonikidis PS, Niebert M, Ullrich T, Bao G, Zeug A, Richter DW. An Ion-insensitive cAMP Biosensor for Long Term Quantitative Ratiometric Fluorescence Resonance Energy Transfer (FRET) Measurements under Variable Physiological Conditions*. J Biol Chem. 2011;286:23419–31.
pubmed: 21454618 pmcid: 3123106 doi: 10.1074/jbc.M111.236869
Prasad S, Ponimaskin E, Zeug A. Serotonin receptor oligomerization regulates cAMP-based signaling. J Cell Sci. 2019;132:jcs230334.
Kobe F, Renner U, Woehler A, Wlodarczyk J, Papusheva E, Bao G, et al. Stimulation- and palmitoylation-dependent changes in oligomeric conformation of serotonin 5-HT1A receptors. Biochim Biophys Acta. 2008;1783:1503–16.
pubmed: 18381076 doi: 10.1016/j.bbamcr.2008.02.021
Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: making protein folding accessible to all. Nat Methods. 2022;19:679–82.
pubmed: 35637307 pmcid: 9184281 doi: 10.1038/s41592-022-01488-1
Akdel M, Pires DEV, Pardo EP, Jänes J, Zalevsky AO, Mészáros B, et al. A structural biology community assessment of AlphaFold2 applications. Nat Struct Mol Biol. 2022;29:1056–67.
pubmed: 36344848 pmcid: 9663297 doi: 10.1038/s41594-022-00849-w
Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596:583–9.
pubmed: 34265844 pmcid: 8371605 doi: 10.1038/s41586-021-03819-2
Mirdita M, Steinegger M, Söding J. MMseqs2 desktop and local web server app for fast, interactive sequence searches. Hancock J, editor. Bioinformatics. 2019;35:2856–8.
Mirdita M, von den Driesch L, Galiez C, Martin MJ, Söding J, Steinegger M. Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Res. 2017;45:D170–6.
pubmed: 27899574 doi: 10.1093/nar/gkw1081
Steinegger M, Meier M, Mirdita M, Vöhringer H, Haunsberger SJ, Söding J. HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinformatics. 2019;20:473.
pubmed: 31521110 pmcid: 6744700 doi: 10.1186/s12859-019-3019-7
Berman H, Henrick K, Nakamura H. Announcing the worldwide Protein Data Bank. Nat Struct Mol Biol. 2003;10:980–980.
doi: 10.1038/nsb1203-980
Spassov VZ, Flook PK, Yan L. LOOPER: a molecular mechanics-based algorithm for protein loop prediction. Protein Eng Des Sel. 2008;21:91–100.
pubmed: 18194981 doi: 10.1093/protein/gzm083
Spassov VZ, Yan L, Flook PK. The dominant role of side-chain backbone interactions in structural realization of amino acid code. ChiRotor: A side-chain prediction algorithm based on side-chain backbone interactions. Protein Science. 2007;16:494–506.
Brooks BR, Brooks CL, Mackerell AD, Nilsson L, Petrella RJ, Roux B, et al. CHARMM: The biomolecular simulation program. J Comput Chem. 2009;30:1545–614.
pubmed: 19444816 pmcid: 2810661 doi: 10.1002/jcc.21287
Jo S, Kim T, Iyer VG, Im W. CHARMM-GUI: A web-based graphical user interface for CHARMM. J Comput Chem. 2008;29:1859–65.
pubmed: 18351591 doi: 10.1002/jcc.20945
Wu EL, Cheng X, Jo S, Rui H, Song KC, Dávila-Contreras EM, et al. CHARMM-GUI Membrane Builder toward realistic biological membrane simulations. J Comput Chem. 2014;35:1997–2004.
pubmed: 25130509 pmcid: 4165794 doi: 10.1002/jcc.23702
Abraham MJ, Murtola T, Schulz R, Páll S, Smith JC, Hess B, et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX. 2015;1–2:19–25.
doi: 10.1016/j.softx.2015.06.001
Pronk S, Páll S, Schulz R, Larsson P, Bjelkmar P, Apostolov R, et al. GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit. Bioinformatics. 2013;29:845–54.
Huang J, MacKerell AD. CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data. J Comput Chem. 2013;34:2135–45.
pubmed: 23832629 pmcid: 3800559 doi: 10.1002/jcc.23354
Huang J, Rauscher S, Nawrocki G, Ran T, Feig M, De Groot BL, et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat Methods. 2017;14:71–3.
pubmed: 27819658 doi: 10.1038/nmeth.4067
Spassov VZ, Yan L. A pH-dependent computational approach to the effect of mutations on protein stability. J Comput Chem. 2016;37:2573–87.
pubmed: 27634390 doi: 10.1002/jcc.24482
Jahreis K, Brüge A, Borsdorf S, Müller FE, Sun W, Jia S, et al. Amisulpride as a potential disease‐modifying drug in the treatment of tauopathies. Alzheimer’s & Dementia. 2023;alz.13090.
Hagmann H, Taniguchi Y, Pippin JW, Kauerz H-M, Benzing T, Shankland SJ, et al. Cyclin I and p35 determine the subcellular distribution of Cdk5. Am J Physiol Cell Physiol. 2015;308:C339–47.
pubmed: 25500740 doi: 10.1152/ajpcell.00168.2014
Liu C, Zhai X, Zhao B, Wang Y, Xu Z. Cyclin I-like (CCNI2) is a cyclin-dependent kinase 5 (CDK5) activator and is involved in cell cycle regulation. Sci Rep. 2017;7:40979.
pubmed: 28112194 pmcid: 5256034 doi: 10.1038/srep40979
Guseva D, Wirth A, Ponimaskin E. Cellular mechanisms of the 5-HT7 receptor-mediated signaling. Front Behav Neurosci [Internet]. 2014 [cited 2019 Feb 26];8. Available from: https://www.frontiersin.org/articles/ https://doi.org/10.3389/fnbeh.2014.00306/full
Kvachnina E. 5-HT7 Receptor Is Coupled to G Subunits of Heterotrimeric G12-Protein to Regulate Gene Transcription and Neuronal Morphology. J Neurosci. 2005;25:7821–30.
pubmed: 16120784 pmcid: 6725246 doi: 10.1523/JNEUROSCI.1790-05.2005
Schill Y, Bijata M, Kopach O, Cherkas V, Abdel-Galil D, Böhm K, et al. Serotonin 5-HT4 receptor boosts functional maturation of dendritic spines via RhoA-dependent control of F-actin. Commun Biol. 2020;3:76.
pubmed: 32060357 pmcid: 7021812 doi: 10.1038/s42003-020-0791-x
Petelák A, Lambert NA, Bondar A. Serotonin 5-HT
Ulsund AH, Dahl M, Frimurer TM, Manfra O, Schwartz TW, Levy FO, et al. Preassociation between the 5-HT7 serotonin receptor and G protein Gs: molecular determinants and association with low potency activation of adenylyl cyclase. FASEB J. 2019;33:3870–86.
pubmed: 30508496 doi: 10.1096/fj.201800805RR
Obosi LA, Hen R, Beadle DJ, Bermudez I, King LA. Mutational analysis of the mouse 5-HT7 receptor: importance of the third intracellular loop for receptor–G-protein interaction. FEBS Lett. 1997;412:321–4.
pubmed: 9256244 doi: 10.1016/S0014-5793(97)00813-2
Goedert M, Jakes R. Mutations causing neurodegenerative tauopathies. Biochim Biophys Acta. 2005;1739:240–50.
pubmed: 15615642 doi: 10.1016/j.bbadis.2004.08.007
Hong M, Zhukareva V, Vogelsberg-Ragaglia V, Wszolek Z, Reed L, Miller BI, et al. Mutation-specific functional impairments in distinct tau isoforms of hereditary FTDP-17. Science. 1998;282:1914–7.
pubmed: 9836646 doi: 10.1126/science.282.5395.1914
Pérez M, Lim F, Arrasate M, Avila J. The FTDP-17-linked mutation R406W abolishes the interaction of phosphorylated tau with microtubules. J Neurochem. 2000;74:2583–9.
pubmed: 10820221 doi: 10.1046/j.1471-4159.2000.0742583.x
Huang S, Xu P, Shen D-D, Simon IA, Mao C, Tan Y, et al. GPCRs steer Gi and Gs selectivity via TM5-TM6 switches as revealed by structures of serotonin receptors. Mol Cell. 2022;82:2681-2695.e6.
pubmed: 35714614 doi: 10.1016/j.molcel.2022.05.031
Tarricone C, Dhavan R, Peng J, Areces LB, Tsai L-H, Musacchio A. Structure and Regulation of the CDK5-p25nck5a Complex. Molecular Cell. 2001;13.
Evans R, O’Neill M, Pritzel A, Antropova N, Senior A, Green T, et al. Protein complex prediction with AlphaFold-Multimer [Internet]. Bioinformatics; 2021 Oct. Available from: http://biorxiv.org/lookup/doi/ https://doi.org/10.1101/2021.10.04.463034
Bryant P. Deep learning for protein complex structure prediction. Curr Opin Struct Biol. 2023;79: 102529.
pubmed: 36731337 doi: 10.1016/j.sbi.2023.102529
Drake ZC, Seffernick JT, Lindert S. Protein complex prediction using Rosetta, AlphaFold, and mass spectrometry covalent labeling. Nat Commun. 2022;13:7846.
pubmed: 36543826 pmcid: 9772387 doi: 10.1038/s41467-022-35593-8
Olsvik HL, Johansen T. AlphaFold-multimer predicts ATG8 protein binding motifs crucial for autophagy research. PLoS Biol. 2023;21: e3002002.
pubmed: 36848650 pmcid: 9907820 doi: 10.1371/journal.pbio.3002002
Yin R, Feng BY, Varshney A, Pierce BG. Benchmarking ALPHAFOLD for protein complex modeling reveals accuracy determinants. Protein Sci. 2022;31: e4379.
pubmed: 35900023 pmcid: 9278006 doi: 10.1002/pro.4379
Lensink MF, Nadzirin N, Velankar S, Wodak SJ. Modeling protein‐protein, protein‐peptide, and protein‐oligosaccharide complexes: CAPRI 7th edition. Proteins. 2020;88:916–38.
Rosales J, Han B, Lee K-Y. Cdk7 functions as a cdk5 activating kinase in brain. Cell Physiol Biochem. 2003;13:285–96.
pubmed: 14586172 doi: 10.1159/000074543
Sharma P, Sharma M, Amin ND, Albers RW, Pant HC. Regulation of cyclin-dependent kinase 5 catalytic activity by phosphorylation. Proc Natl Acad Sci U S A. 1999;96:11156–60.
pubmed: 10500146 pmcid: 18003 doi: 10.1073/pnas.96.20.11156
Czapski GA, Gąssowska M, Wilkaniec A, Chalimoniuk M, Strosznajder JB, Adamczyk A. The mechanisms regulating cyclin-dependent kinase 5 in hippocampus during systemic inflammatory response: The effect on inflammatory gene expression. Neurochem Int. 2016;93:103–12.
pubmed: 26806339 doi: 10.1016/j.neuint.2016.01.005
Meneses A. 5-HT systems: emergent targets for memory formation and memory alterations. Reviews in the Neurosciences [Internet]. 2013 [cited 2019 May 1];24. Available from: https://www.degruyter.com/view/j/revneuro.2013.24.issue-6/revneuro-2013-0026/revneuro-2013-0026.xml
Andressen KW, Ulsund AH, Krobert KA, Lohse MJ, Bünemann M, Levy FO. Related GPCRs couple differently to G
pubmed: 29079700 doi: 10.1096/fj.201700486R
Manfra O, Van Craenenbroeck K, Skieterska K, Frimurer T, Schwartz TW, Levy FO, et al. Downregulation of 5-HT
Jacobshagen M, Niquille M, Chaumont-Dubel S, Marin P, Dayer A. The serotonin 6 receptor controls neuronal migration during corticogenesis via a ligand-independent Cdk5-dependent mechanism. Development. 2014;141:3370–7.
pubmed: 25078650 pmcid: 4199128 doi: 10.1242/dev.108043
Duhr F, Déléris P, Raynaud F, Séveno M, Morisset-Lopez S, Mannoury la Cour C, et al. Cdk5 induces constitutive activation of 5-HT6 receptors to promote neurite growth. Nat Chem Biol. 2014;10:590–7.
Meffre J, Chaumont‐Dubel S, Mannoury La Cour C, Loiseau F, Watson DJG, Dekeyne A, et al. 5‐HT
Venkatakrishnan A, Flock T, Prado DE, Oates ME, Gough J, Madan BM. Structured and disordered facets of the GPCR fold. Curr Opin Struct Biol. 2014;27:129–37.
pubmed: 25198166 doi: 10.1016/j.sbi.2014.08.002
Tompa P, Davey NE, Gibson TJ, Babu MM. A Million Peptide Motifs for the Molecular Biologist. Mol Cell. 2014;55:161–9.
pubmed: 25038412 doi: 10.1016/j.molcel.2014.05.032
Mapelli M, Musacchio A. The Structural Perspective on CDK5. Neurosignals. 2003;12:164–72.
pubmed: 14673202 doi: 10.1159/000074617
Czapski GA, Gąssowska M, Songin M, Radecka UD, Strosznajder JB. Alterations of cyclin dependent kinase 5 expression and phosphorylation in amyloid precursor protein (APP)-transfected PC12 cells. FEBS Lett. 2011;585:1243–8.
pubmed: 21457712 doi: 10.1016/j.febslet.2011.03.058
Lin H, Lin T-Y, Juang J-L. Abl deregulates Cdk5 kinase activity and subcellular localization in Drosophila neurodegeneration. Cell Death Differ. 2007;14:607–15.
pubmed: 16932754 doi: 10.1038/sj.cdd.4402033
Zukerberg LR, Patrick GN, Nikolic M, Humbert S, Wu C-L, Lanier LM, et al. Cables Links Cdk5 and c-Abl and Facilitates Cdk5 Tyrosine Phosphorylation, Kinase Upregulation, and Neurite Outgrowth. Neuron. 2000;26:633–46.
pubmed: 10896159 doi: 10.1016/S0896-6273(00)81200-3
Kobayashi H, Saito T, Sato K, Furusawa K, Hosokawa T, Tsutsumi K, et al. Phosphorylation of cyclin-dependent kinase 5 (Cdk5) at Tyr-15 is inhibited by Cdk5 activators and does not contribute to the activation of Cdk5. J Biol Chem. 2014;289:19627–36.
pubmed: 24872417 pmcid: 4094073 doi: 10.1074/jbc.M113.501148
Walther C, Ferguson SSG. Minireview: Role of intracellular scaffolding proteins in the regulation of endocrine G protein-coupled receptor signaling. Mol Endocrinol. 2015;29:814–30.
pubmed: 25942107 pmcid: 5414738 doi: 10.1210/me.2015-1091
Luttrell LM, Ferguson SS, Daaka Y, Miller WE, Maudsley S, Della Rocca GJ, et al. Beta-arrestin-dependent formation of beta2 adrenergic receptor-Src protein kinase complexes. Science. 1999;283:655–61.
pubmed: 9924018 doi: 10.1126/science.283.5402.655
DeWire SM, Yamashita DS, Rominger DH, Liu G, Cowan CL, Graczyk TM, et al. A G protein-biased ligand at the μ-opioid receptor is potently analgesic with reduced gastrointestinal and respiratory dysfunction compared with morphine. J Pharmacol Exp Ther. 2013;344:708–17.
pubmed: 23300227 doi: 10.1124/jpet.112.201616
Berg KA, Clarke WP. Making Sense of Pharmacology: Inverse Agonism and Functional Selectivity. Int J Neuropsychopharmacol. 2018;21:962–77.
pubmed: 30085126 pmcid: 6165953 doi: 10.1093/ijnp/pyy071

Auteurs

Jana Ackmann (J)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Alina Brüge (A)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Lizaveta Gotina (L)

Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea.

Sungsu Lim (S)

Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.

Kathrin Jahreis (K)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Anna-Lena Vollbrecht (AL)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Yun Kyung Kim (YK)

Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea.

Ae Nim Pae (AN)

Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea.

Josephine Labus (J)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.

Evgeni Ponimaskin (E)

Department of Cellular Neurophysiology, Institute for Neurophysiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Ponimaskin.Evgeni@mh-hannover.de.

Classifications MeSH