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Ham H, Jing H, Lamborn IT, Kober MM, Koval A, Berchiche YA, Anderson DE, Druey KM, Mandl JN, Isidor B, Ferreira CR, Freeman AF, Ganesan S, Karsak M, Mustillo PJ, Teo J, Zolkipli-Cunningham Z, Chatron N, Lecoquierre F, Oler AJ, Schmid JP, Kuhns DB, Xu X, Hauck F, Al-Herz W, Wagner M, Terhal PA, Muurinen M, Barlogis V, Cruz P, Danielson J, Stewart H, Loid P, Rading S, Keren B, Pfundt R, Zarember KA, Vill K, Potocki L, Olivier KN, Lesca G, Faivre L, Wong M, Puel A, Chou J, Tusseau M, Moutsopoulos NM, Matthews HF, Simons C, Taft RJ, Soldatos A, Masle-Farquhar E, Pittaluga S, Brink R, Fink DL, Kong HH, Kabat J, Kim WS, Bierhals T, Meguro K, Hsu AP, Gu J, Stoddard J, Banos-Pinero B, Slack M, Trivellin G, Mazel B, Soomann M, Li S, Watts VJ, Stratakis CA, Rodriguez-Quevedo MF, Bruel AL, Lipsanen-Nyman M, Saultier P, Jain R, Lehalle D, Torres D, Sullivan KE, Barbarot S, Neu A, Duffourd Y, Similuk M, McWalter K, Blanc P, Bézieau S, Jin T, Geha RS, Casanova JL, Makitie OM, Kubisch C, Edery P, Christodoulou J, Germain RN, Goodnow CC, Sakmar TP, Billadeau DD, Küry S, Katanaev VL, Zhang Y, Lenardo MJ, Su HC. Germline mutations in a G protein identify signaling cross-talk in T cells. Science 2024; 385:eadd8947. [PMID: 39298586 DOI: 10.1126/science.add8947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/15/2023] [Accepted: 07/12/2024] [Indexed: 09/22/2024]
Abstract
Humans with monogenic inborn errors responsible for extreme disease phenotypes can reveal essential physiological pathways. We investigated germline mutations in GNAI2, which encodes Gαi2, a key component in heterotrimeric G protein signal transduction usually thought to regulate adenylyl cyclase-mediated cyclic adenosine monophosphate (cAMP) production. Patients with activating Gαi2 mutations had clinical presentations that included impaired immunity. Mutant Gαi2 impaired cell migration and augmented responses to T cell receptor (TCR) stimulation. We found that mutant Gαi2 influenced TCR signaling by sequestering the guanosine triphosphatase (GTPase)-activating protein RASA2, thereby promoting RAS activation and increasing downstream extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3-kinase (PI3K)-AKT S6 signaling to drive cellular growth and proliferation.
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Affiliation(s)
- Hyoungjun Ham
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
- Division of Oncology Research, Schulze Center for Novel Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Huie Jing
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Ian T Lamborn
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Megan M Kober
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Alexey Koval
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Translational Research Center in Oncohaematology, University of Geneva, Geneva, Switzerland
| | - Yamina A Berchiche
- Laboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, USA
| | - D Eric Anderson
- Advanced Mass Spectrometry Facility, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA
| | - Kirk M Druey
- Lung and Vascular Inflammation Section, Laboratory of Allergic Diseases, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Judith N Mandl
- Lymphocyte Biology Section, Laboratory of Immune System Biology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Bertrand Isidor
- Service de Génétique Médicale, CHU Nantes, Nantes Université, Nantes, France
- L'Institut du Thorax, CHU Nantes, INSERM UMR 1087/CNRS UMR 6291, Nantes Université, Nantes, France
| | - Carlos R Ferreira
- Skeletal Genomics Unit, Metabolic Medicine Branch, DIR, National Human Genome Research Institute (NHGRI), NIH, Bethesda, MD, USA
| | - Alexandra F Freeman
- Laboratory of Clinical Immunology and Microbiology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Sundar Ganesan
- Biological Imaging Section, Research Technologies Branch, DIR, NIAID, NIH, Bethesda, MD 20892, USA
| | - Meliha Karsak
- Neuronal and Cellular Signal Transduction, Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter J Mustillo
- Nationwide Children's Hospital, Columbus, OH, USA
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Juliana Teo
- Department of Haematology, The Children's Hospital Westmead, Sydney, New South Wales, Australia
| | - Zarazuela Zolkipli-Cunningham
- Mitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nicolas Chatron
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
- Institut NeuroMyoGène, Physiopathologie et Génétique du Neurone et du Muscle, CNRS UMR 5261, INSERM U1315, Université Claude Bernard Lyon 1, Lyon, France
| | - François Lecoquierre
- Université de Rouen Normandie, INSERM U12045 and CHU Rouen, Department of Genetics and Reference Center for Developmental Disorders, FHU-G4 Génomique, Rouen, France
| | - Andrew J Oler
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), NIAID, NIH, Bethesda, MD, USA
| | - Jana Pachlopnik Schmid
- Division of Immunology, University Children's Hospital Zurich, Zurich, Switzerland
- Pediatric Immunology, University of Zurich, Zurich, Switzerland
| | - Douglas B Kuhns
- Neutrophil Monitoring Lab, Applied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Xuehua Xu
- Chemotaxis Signal Section, Laboratory of Immunogenetics, DIR, NIAID, NIH, Rockville, MD, USA
| | - Fabian Hauck
- Division of Pediatric Immunology and Rheumatology, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Waleed Al-Herz
- Department of Pediatrics, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait
- Department of Pediatrics, Al-Sabah Hospital, Kuwait City, Kuwait
| | - Matias Wagner
- Institute of Human Genetics, Technical University Munich, School of Medicine and Health, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Pediatrics, Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, University Hospital of Munich, Munich, Germany
| | - Paulien A Terhal
- Division of Laboratories, Pharmacy and Biomedical Genetics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mari Muurinen
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Vincent Barlogis
- APHM, La Timone Children's Hospital, Department of Pediatric Hematology, Immunology, and Oncology, Marseille, France
- Aix-Marseille University, EA 3279 Research Unit, Marseille, France
| | - Phillip Cruz
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), NIAID, NIH, Bethesda, MD, USA
| | - Jeffrey Danielson
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Nuffield Orthopaedic Centre, Oxford University Hospitals, NHS Foundation Trust, Headington, Oxford, UK
| | - Petra Loid
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Sebastian Rading
- Neuronal and Cellular Signal Transduction, Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Boris Keren
- Genetic Departement, Assistance Publique - Hôpitaux de Paris.Sorbonne University, Paris, France
- SeqOIA Laboratory, FMG2025, Paris, France
| | - Rolph Pfundt
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Kol A Zarember
- Laboratory of Clinical Immunology and Microbiology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Katharina Vill
- LMU University Hospital, Department of Pediatrics, Division of Pediatric Neurology, iSPZ Hauner MUC - Munich University Center for Children with Medical and Developmental Complexity, Dr. von Hauner Children's Hospital, Munich, Germany
| | - Lorraine Potocki
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
| | - Kenneth N Olivier
- Pulmonary Branch, Division of Intramural Research, DIR, National Heart Lung and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
| | - Gaetan Lesca
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
- Institut NeuroMyoGène, Physiopathologie et Génétique du Neurone et du Muscle, CNRS UMR 5261, INSERM U1315, Université Claude Bernard Lyon 1, Lyon, France
| | - Laurence Faivre
- Génétique des Anomalies du Développement (GAD), UMR 1231, INSERM, Université Bourgogne-Franche Comté, Dijon, France
- Centre de Génétique et Centre de Référence "Anomalies du Développement et Syndromes Malformatifs de l'Inter-région Est", FHU TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Melanie Wong
- Department of Allergy and Immunology, The Children's Hospital at Westmead, Sydney, NSW, Australia
| | - Anne Puel
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale, INSERM U1163, Paris, France
- Imagine Institute, University of Paris Cité, Paris, France
| | - Janet Chou
- Division of Immunology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Maud Tusseau
- Genetics Department, Lyon University Hospital, Lyon, France
- The International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France
| | - Niki M Moutsopoulos
- Oral Immunity and Infection Section, DIR, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA
| | - Helen F Matthews
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
- Molecular Development of the Immune System Section, Laboratory of Immune System Biology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Cas Simons
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, NSW, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Ryan J Taft
- Institute for Molecular Bioscience, University of Queensland, St. Lucia, Queensland, Australia
- Illumina, San Diego, CA, USA
| | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, MD, USA
| | - Etienne Masle-Farquhar
- Immunogenomics Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia
- School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Stefania Pittaluga
- Laboratory of Pathology, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA
| | - Robert Brink
- St. Vincent's Clinical School, UNSW, Sydney, NSW, Australia
- B Cell Biology Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Danielle L Fink
- Neutrophil Monitoring Lab, Applied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Heidi H Kong
- Cutaneous Microbiome and Inflammation Section, Dermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD, USA
| | - Juraj Kabat
- Biological Imaging Section, Research Technologies Branch, DIR, NIAID, NIH, Bethesda, MD 20892, USA
| | - Woo Sung Kim
- Chemotaxis Signal Section, Laboratory of Immunogenetics, DIR, NIAID, NIH, Rockville, MD, USA
| | - Tatjana Bierhals
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kazuyuki Meguro
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Amy P Hsu
- Laboratory of Clinical Immunology and Microbiology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Jingwen Gu
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), NIAID, NIH, Bethesda, MD, USA
| | - Jennifer Stoddard
- Immunology Service, Department of Laboratory Medicine, Clinical Center, NIH, Bethesda, MD, USA
| | - Benito Banos-Pinero
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
| | - Maria Slack
- Division of Allergy and Immunology, Department of Pediatrics, University of Rochester Medical Center and Golisano Children's Hospital, Rochester, NY, USA
| | - Giampaolo Trivellin
- Section on Endocrinology and Genetics (SEGEN), DIR, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD, USA
| | - Benoît Mazel
- Centre de Génétique et Centre de Référence "Anomalies du Développement et Syndromes Malformatifs de l'Inter-région Est", FHU TRANSLAD, CHU Dijon Bourgogne, Dijon, France
- Centre de Référence Déficiences Intellectuelles de Causes Rares, CHU Dijon Bourgogne, Dijon, France
| | - Maarja Soomann
- Division of Immunology, University Children's Hospital Zurich, Zurich, Switzerland
| | - Samuel Li
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), NIAID, NIH, Bethesda, MD, USA
| | - Val J Watts
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA
| | - Constantine A Stratakis
- Section on Endocrinology and Genetics (SEGEN), DIR, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD, USA
| | - Maria F Rodriguez-Quevedo
- Division of Oncology Research, Schulze Center for Novel Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Ange-Line Bruel
- Génétique des Anomalies du Développement (GAD), UMR 1231, INSERM, Université Bourgogne-Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Marita Lipsanen-Nyman
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Paul Saultier
- APHM, La Timone Children's Hospital, Department of Pediatric Hematology, Immunology, and Oncology, Marseille, France
- Aix-Marseille University, INSERM, National Research Institute for Agriculture, Food and Environment (INRAe), Cardiovascular and Nutrition Research Center (C2VN), Marseille, France
| | - Rashmi Jain
- Clinical Immunology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Daphne Lehalle
- AP-HP Sorbonne Université, UF de Génétique Clinique, Centre de Référence Maladies Rares des Anomalies du Développement et Syndromes Malformatifs, Hôpital Trousseau, Paris, France
| | - Daniel Torres
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Kathleen E Sullivan
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sébastien Barbarot
- Department of Dermatology, CHU Nantes, INRAE, UMR 1280, PhAN, Nantes Université, Nantes, France
| | - Axel Neu
- Department of Pediatrics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yannis Duffourd
- Génétique des Anomalies du Développement (GAD), UMR 1231, INSERM, Université Bourgogne-Franche Comté, Dijon, France
- Unité Fonctionnelle Innovation en Diagnostic Génomique des Maladies Rares, FHU TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Morgan Similuk
- Centralized Sequencing Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | | | | | - Stéphane Bézieau
- Service de Génétique Médicale, CHU Nantes, Nantes Université, Nantes, France
- L'Institut du Thorax, CHU Nantes, INSERM UMR 1087/CNRS UMR 6291, Nantes Université, Nantes, France
| | - Tian Jin
- Chemotaxis Signal Section, Laboratory of Immunogenetics, DIR, NIAID, NIH, Rockville, MD, USA
| | - Raif S Geha
- Division of Immunology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale, INSERM U1163, Paris, France
- Imagine Institute, University of Paris Cité, Paris, France
- Howard Hughes Medical Institute, New York, NY, USA
- Department of Pediatrics, Necker Hospital for Sick Children, Paris, France
| | - Outi M Makitie
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Christian Kubisch
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Patrick Edery
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
- Centre de Recherche en Neurosciences de Lyon, Inserm U1028, UMR CNRS 5292, Université Claude Bernard Lyon 1, Lyon, France
| | - John Christodoulou
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Specialty of Child and Adolescent Health, University of Sydney, Sydney, Australia
| | - Ronald N Germain
- Lymphocyte Biology Section, Laboratory of Immune System Biology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Christopher C Goodnow
- Immunogenomics Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia
- Cellular Genomics Futures Institute, Sydney, NSW, Australia
| | - Thomas P Sakmar
- Laboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, USA
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Neurogeriatrics, Stockholm, Sweden
| | - Daniel D Billadeau
- Division of Oncology Research, Schulze Center for Novel Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Sébastien Küry
- Service de Génétique Médicale, CHU Nantes, Nantes Université, Nantes, France
- L'Institut du Thorax, CHU Nantes, INSERM UMR 1087/CNRS UMR 6291, Nantes Université, Nantes, France
| | - Vladimir L Katanaev
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Translational Research Center in Oncohaematology, University of Geneva, Geneva, Switzerland
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Yu Zhang
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Michael J Lenardo
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Molecular Development of the Immune System Section, Laboratory of Immune System Biology, DIR, NIAID, NIH, Bethesda, MD, USA
| | - Helen C Su
- Human Immunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
- Clinical Genomics Program, DIR, NIAID, NIH, Bethesda, MD, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Bonifer C, Hanke W, Mühle J, Löhr F, Becker-Baldus J, Nagel J, Schertler GFX, Müller CE, König GM, Hilger D, Glaubitz C. Structural response of G protein binding to the cyclodepsipeptide inhibitor FR900359 probed by NMR spectroscopy. Chem Sci 2024; 15:12939-12956. [PMID: 39148790 PMCID: PMC11323312 DOI: 10.1039/d4sc01950d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 06/27/2024] [Indexed: 08/17/2024] Open
Abstract
The cyclodepsipeptide FR900359 (FR) and its analogs are able to selectively inhibit the class of Gq proteins by blocking GDP/GTP exchange. The inhibitor binding site of Gq has been characterized by X-ray crystallography, and various binding and functional studies have determined binding kinetics and mode of inhibition. Here we investigate isotope-labeled FR bound to the membrane-anchored G protein heterotrimer by solid-state nuclear magnetic resonance (ssNMR) and in solution by liquid-state NMR. The resulting data allowed us to identify regions of the inhibitor which show especially pronounced effects upon binding and revealed a generally rigid binding mode in the cis conformation under native-like conditions. The inclusion of the membrane environment allowed us to show a deep penetration of FR into the lipid bilayer illustrating a possible access mode of FR into the cell. Dynamic nuclear polarization (DNP)-enhanced ssNMR was used to observe the structural response of specific segments of the Gα subunit to inhibitor binding. This revealed rigidification of the switch I binding site and an allosteric response in the α5 helix as well as suppression of structural changes induced by nucleotide exchange due to inhibition by FR. Our NMR studies of the FR-G protein complex conducted directly within a native membrane environment provide important insights into the inhibitors access via the lipid membrane, binding mode, and structural allosteric effects.
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Affiliation(s)
- Christian Bonifer
- Institute of Biophysical Chemistry, Centre of Biomolecular Magnetic Resonance, Goethe University Frankfurt Max-von-Laue Str. 9 60438 Frankfurt Germany
| | - Wiebke Hanke
- Institute for Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Jonas Mühle
- Division of Biology and Chemistry, Laboratory of Biomolecular Research, Paul Scherrer Institute Forschungsstr. 111, 5232 Villigen PSI Switzerland
| | - Frank Löhr
- Institute of Biophysical Chemistry, Centre of Biomolecular Magnetic Resonance, Goethe University Frankfurt Max-von-Laue Str. 9 60438 Frankfurt Germany
| | - Johanna Becker-Baldus
- Institute of Biophysical Chemistry, Centre of Biomolecular Magnetic Resonance, Goethe University Frankfurt Max-von-Laue Str. 9 60438 Frankfurt Germany
| | - Jessica Nagel
- Department of Pharmaceutical & Medicinal Chemistry, Pharmaceutical Institute, University of Bonn An der Immenburg 4 53121 Bonn Germany
| | - Gebhard F X Schertler
- Division of Biology and Chemistry, Laboratory of Biomolecular Research, Paul Scherrer Institute Forschungsstr. 111, 5232 Villigen PSI Switzerland
| | - Christa E Müller
- Department of Pharmaceutical & Medicinal Chemistry, Pharmaceutical Institute, University of Bonn An der Immenburg 4 53121 Bonn Germany
| | - Gabriele M König
- Institute for Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Daniel Hilger
- Department of Pharmaceutical Chemistry, University of Marburg 35037 Marburg Germany
| | - Clemens Glaubitz
- Institute of Biophysical Chemistry, Centre of Biomolecular Magnetic Resonance, Goethe University Frankfurt Max-von-Laue Str. 9 60438 Frankfurt Germany
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3
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Kaneko S, Imai S, Uchikubo-Kamo T, Hisano T, Asao N, Shirouzu M, Shimada I. Structural and dynamic insights into the activation of the μ-opioid receptor by an allosteric modulator. Nat Commun 2024; 15:3544. [PMID: 38740791 DOI: 10.1038/s41467-024-47792-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 04/12/2024] [Indexed: 05/16/2024] Open
Abstract
G-protein-coupled receptors (GPCRs) play pivotal roles in various physiological processes. These receptors are activated to different extents by diverse orthosteric ligands and allosteric modulators. However, the mechanisms underlying these variations in signaling activity by allosteric modulators remain largely elusive. Here, we determine the three-dimensional structure of the μ-opioid receptor (MOR), a class A GPCR, in complex with the Gi protein and an allosteric modulator, BMS-986122, using cryogenic electron microscopy. Our results reveal that BMS-986122 binding induces changes in the map densities corresponding to R1673.50 and Y2545.58, key residues in the structural motifs conserved among class A GPCRs. Nuclear magnetic resonance analyses of MOR in the absence of the Gi protein reveal that BMS-986122 binding enhances the formation of the interaction between R1673.50 and Y2545.58, thus stabilizing the fully-activated conformation, where the intracellular half of TM6 is outward-shifted to allow for interaction with the Gi protein. These findings illuminate that allosteric modulators like BMS-986122 can potentiate receptor activation through alterations in the conformational dynamics in the core region of GPCRs. Together, our results demonstrate the regulatory mechanisms of GPCRs, providing insights into the rational development of therapeutics targeting GPCRs.
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MESH Headings
- Receptors, Opioid, mu/metabolism
- Receptors, Opioid, mu/chemistry
- Receptors, Opioid, mu/genetics
- Allosteric Regulation
- Humans
- Cryoelectron Microscopy
- Protein Binding
- GTP-Binding Protein alpha Subunits, Gi-Go/metabolism
- GTP-Binding Protein alpha Subunits, Gi-Go/chemistry
- GTP-Binding Protein alpha Subunits, Gi-Go/genetics
- HEK293 Cells
- Ligands
- Models, Molecular
- Protein Conformation
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Affiliation(s)
- Shun Kaneko
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Shunsuke Imai
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan.
| | | | - Tamao Hisano
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan
| | - Nobuaki Asao
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Mikako Shirouzu
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan
| | - Ichio Shimada
- Center for Biosystems Dynamics Research (BDR), RIKEN, Kanagawa, Japan.
- Graduate School of Integrated Science for Life, Hiroshima University, Hiroshima, Japan.
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4
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Lefevre TJ, Wei W, Mukhaleva E, Meda Venkata SP, Chandan NR, Abraham S, Li Y, Dessauer CW, Vaidehi N, Smrcka AV. Stabilization of interdomain interactions in G protein α subunits as a determinant of Gα i subtype signaling specificity. J Biol Chem 2024; 300:107211. [PMID: 38522511 PMCID: PMC11066577 DOI: 10.1016/j.jbc.2024.107211] [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: 10/25/2023] [Revised: 03/07/2024] [Accepted: 03/12/2024] [Indexed: 03/26/2024] Open
Abstract
Highly homologous members of the Gαi family, Gαi1-3, have distinct tissue distributions and physiological functions, yet their biochemical and functional properties are very similar. We recently identified PDZ-RhoGEF (PRG) as a novel Gαi1 effector that is poorly activated by Gαi2. In a proteomic proximity labeling screen we observed a strong preference for Gαi1 relative to Gαi2 with respect to engagement of a broad range of potential targets. We investigated the mechanistic basis for this selectivity using PRG as a representative target. Substitution of either the helical domain (HD) from Gαi1 into Gαi2 or substitution of a single amino acid, A230 in Gαi2 with the corresponding D in Gαi1, largely rescues PRG activation and interactions with other potential Gαi targets. Molecular dynamics simulations combined with Bayesian network models revealed that in the GTP bound state, separation at the HD-Ras-like domain (RLD) interface is more pronounced in Gαi2 than Gαi1. Mutation of A230 to D in Gαi2 stabilizes HD-RLD interactions via ionic interactions with R145 in the HD which in turn modify the conformation of Switch III. These data support a model where D229 in Gαi1 interacts with R144 and stabilizes a network of interactions between HD and RLD to promote protein target recognition. The corresponding A230 in Gαi2 is unable to stabilize this network leading to an overall lower efficacy with respect to target interactions. This study reveals distinct mechanistic properties that could underly differential biological and physiological consequences of activation of Gαi1 or Gαi2 by G protein-coupled receptors.
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Affiliation(s)
- Tyler J Lefevre
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Program in Chemical Biology, University of Michigan, Ann Arbor, Michigan, USA
| | - Wenyuan Wei
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, California, USA
| | - Elizaveta Mukhaleva
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, California, USA
| | | | - Naincy R Chandan
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Genentech, South San Francisco, California, USA
| | - Saji Abraham
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Yong Li
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, Texas, USA
| | - Carmen W Dessauer
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, Texas, USA
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, California, USA
| | - Alan V Smrcka
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
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5
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Anazia K, Koenekoop L, Ferré G, Petracco E, Gutiérrez-de-Teran H, Eddy MT. Visualizing the impact of disease-associated mutations on G protein-nucleotide interactions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.30.578006. [PMID: 38352316 PMCID: PMC10862895 DOI: 10.1101/2024.01.30.578006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Activation of G proteins stimulates ubiquitous intracellular signaling cascades essential for life processes. Under normal physiological conditions, nucleotide exchange is initiated upon the formation of complexes between a G protein and G protein-coupled receptor (GPCR), which facilitates exchange of bound GDP for GTP, subsequently dissociating the trimeric G protein into its Gα and Gβγ subunits. However, single point mutations in Gα circumvent nucleotide exchange regulated by GPCR-G protein interactions, leading to either loss-of-function or constitutive gain-of-function. Mutations in several Gα subtypes are closely linked to the development of multiple diseases, including several intractable cancers. We leveraged an integrative spectroscopic and computational approach to investigate the mechanisms by which seven of the most frequently observed clinically-relevant mutations in the α subunit of the stimulatory G protein result in functional changes. Variable temperature circular dichroism (CD) spectroscopy showed a bimodal distribution of thermal melting temperatures across all GαS variants. Modeling from molecular dynamics (MD) simulations established a correlation between observed thermal melting temperatures and structural changes caused by the mutations. Concurrently, saturation-transfer difference NMR (STD-NMR) highlighted variations in the interactions of GαS variants with bound nucleotides. MD simulations indicated that changes in local interactions within the nucleotide-binding pocket did not consistently align with global structural changes. This collective evidence suggests a multifaceted energy landscape, wherein each mutation may introduce distinct perturbations to the nucleotide-binding site and protein-protein interaction sites. Consequently, it underscores the importance of tailoring therapeutic strategies to address the unique challenges posed by individual mutations.
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Affiliation(s)
- Kara Anazia
- Department of Chemistry; University of Florida; Gainesville, FL, 32611; USA
| | - Lucien Koenekoop
- Department of Cell and Molecular Biology, Uppsala University; Uppsala, 75105; Sweden
| | - Guillaume Ferré
- Department of Chemistry; University of Florida; Gainesville, FL, 32611; USA
- Present address: Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), Toulouse, France
| | - Enzo Petracco
- Department of Chemistry; University of Florida; Gainesville, FL, 32611; USA
- URD Agro-Biotechnologies Industrielles (ABI), CEBB, AgroParisTech, Pomacle, France
| | | | - Matthew T. Eddy
- Department of Chemistry; University of Florida; Gainesville, FL, 32611; USA
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6
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Zhang W, Mackay CR, Gershwin ME. Immunomodulatory Effects of Microbiota-Derived Short-Chain Fatty Acids in Autoimmune Liver Diseases. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:1629-1639. [PMID: 37186939 PMCID: PMC10188201 DOI: 10.4049/jimmunol.2300016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/01/2023] [Indexed: 05/17/2023]
Abstract
Nonpathogenic commensal microbiota and their metabolites and components are essential to maintain a tolerogenic environment and promote beneficial health effects. The metabolic environment critically impacts the outcome of immune responses and likely impacts autoimmune and allergic responses. Short-chain fatty acids (SCFAs) are the main metabolites produced by microbial fermentation in the gut. Given the high concentration of SCFAs in the gut and portal vein and their broad immune regulatory functions, SCFAs significantly influence immune tolerance and gut-liver immunity. Alterations of SCFA-producing bacteria and SCFAs have been identified in a multitude of inflammatory diseases. These data have particular significance in primary biliary cholangitis, primary sclerosing cholangitis, and autoimmune hepatitis because of the close proximity of the liver to the gut. In this focused review, we provide an update on the immunologic consequences of SCFA-producing microbiota and in particular on three dominant SCFAs in autoimmune liver diseases.
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Affiliation(s)
- Weici Zhang
- Division of Rheumatology, Allergy, and Clinical Immunology, School of Medicine, University of California Davis, CA, USA
| | - Charles R. Mackay
- Department of Microbiology, Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, Melbourne, Australia
| | - M. Eric Gershwin
- Division of Rheumatology, Allergy, and Clinical Immunology, School of Medicine, University of California Davis, CA, USA
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7
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Lefevre TJ, Wei W, Mukhaleva E, Venkata SPM, Chandan NR, Abraham S, Li Y, Dessauer CW, Vaidehi N, Smrcka AV. Stabilization of Interdomain Interactions in G protein α i Subunits Determines Gα i Subtype Signaling Specificity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.10.532072. [PMID: 37066214 PMCID: PMC10103935 DOI: 10.1101/2023.03.10.532072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Highly homologous members of the Gαi family, Gαi1-3, have distinct tissue distributions and physiological functions, yet the functional properties of these proteins with respect to GDP/GTP binding and regulation of adenylate cyclase are very similar. We recently identified PDZ-RhoGEF (PRG) as a novel Gαi1 effector, however, it is poorly activated by Gαi2. Here, in a proteomic proximity labeling screen we observed a strong preference for Gαi1 relative to Gαi2 with respect to engagement of a broad range of potential targets. We investigated the mechanistic basis for this selectivity using PRG as a representative target. Substitution of either the helical domain (HD) from Gαi1 into Gαi2 or substitution of a single amino acid, A230 in Gαi2 to the corresponding D in Gαi1, largely rescues PRG activation and interactions with other Gαi targets. Molecular dynamics simulations combined with Bayesian network models revealed that in the GTP bound state, dynamic separation at the HD-Ras-like domain (RLD) interface is prevalent in Gαi2 relative to Gαi1 and that mutation of A230s4h3.3 to D in Gαi2 stabilizes HD-RLD interactions through formation of an ionic interaction with R145HD.11 in the HD. These interactions in turn modify the conformation of Switch III. These data support a model where D229s4h3.3 in Gαi1 interacts with R144HD.11 stabilizes a network of interactions between HD and RLD to promote protein target recognition. The corresponding A230 in Gαi2 is unable to form the "ionic lock" to stabilize this network leading to an overall lower efficacy with respect to target interactions. This study reveals distinct mechanistic properties that could underly differential biological and physiological consequences of activation of Gαi1 or Gαi2 by GPCRs.
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Affiliation(s)
- Tyler J. Lefevre
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI
- Program in Chemical Biology, University of Michigan, Ann Arbor, MI
| | - Wenyuan Wei
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, TX
| | - Elizaveta Mukhaleva
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, TX
| | | | - Naincy R. Chandan
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI
- Genentech, South San Francisco, CA
| | - Saji Abraham
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI
| | - Yong Li
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, TX
| | - Carmen W. Dessauer
- Department of Integrative Biology and Pharmacology McGovern Medical School, UTHealth, Houston, TX
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA
| | - Alan V. Smrcka
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI
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8
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Huang SK, Picard LP, Rahmatullah RSM, Pandey A, Van Eps N, Sunahara RK, Ernst OP, Sljoka A, Prosser RS. Mapping the conformational landscape of the stimulatory heterotrimeric G protein. Nat Struct Mol Biol 2023; 30:502-511. [PMID: 36997760 DOI: 10.1038/s41594-023-00957-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 02/24/2023] [Indexed: 04/01/2023]
Abstract
Heterotrimeric G proteins serve as membrane-associated signaling hubs, in concert with their cognate G-protein-coupled receptors. Fluorine nuclear magnetic resonance spectroscopy was employed to monitor the conformational equilibria of the human stimulatory G-protein α subunit (Gsα) alone, in the intact Gsαβ1γ2 heterotrimer or in complex with membrane-embedded human adenosine A2A receptor (A2AR). The results reveal a concerted equilibrium that is strongly affected by nucleotide and interactions with the βγ subunit, the lipid bilayer and A2AR. The α1 helix of Gsα exhibits significant intermediate timescale dynamics. The α4β6 loop and α5 helix undergo membrane/receptor interactions and order-disorder transitions respectively, associated with G-protein activation. The αN helix adopts a key functional state that serves as an allosteric conduit between the βγ subunit and receptor, while a significant fraction of the ensemble remains tethered to the membrane and receptor upon activation.
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Affiliation(s)
- Shuya Kate Huang
- Department of Chemistry, University of Toronto, UTM, Mississauga, Ontario, Canada
| | | | - Rima S M Rahmatullah
- Department of Chemistry, University of Toronto, UTM, Mississauga, Ontario, Canada
| | - Aditya Pandey
- Department of Chemistry, University of Toronto, UTM, Mississauga, Ontario, Canada
| | - Ned Van Eps
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
| | - Roger K Sunahara
- Department of Pharmacology, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Oliver P Ernst
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Adnan Sljoka
- RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan.
| | - R Scott Prosser
- Department of Chemistry, University of Toronto, UTM, Mississauga, Ontario, Canada.
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
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9
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Wang B, Wang M, Ao D, Wei X. CXCL13-CXCR5 axis: Regulation in inflammatory diseases and cancer. Biochim Biophys Acta Rev Cancer 2022; 1877:188799. [PMID: 36103908 DOI: 10.1016/j.bbcan.2022.188799] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 01/10/2023]
Abstract
Chemokine C-X-C motif ligand 13 (CXCL13), originally identified as a B-cell chemokine, plays an important role in the immune system. The interaction between CXCL13 and its receptor, the G-protein coupled receptor (GPCR) CXCR5, builds a signaling network that regulates not only normal organisms but also the development of many diseases. However, the precise action mechanism remains unclear. In this review, we discussed the functional mechanisms of the CXCL13-CXCR5 axis under normal conditions, with special focus on its association with diseases. For certain refractory diseases, we emphasize the diagnostic and therapeutic role of CXCL13-CXCR5 axis.
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Affiliation(s)
- Binhan Wang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Manni Wang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Danyi Ao
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiawei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
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10
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Hidalgo F, Nocka LM, Shah NH, Gorday K, Latorraca NR, Bandaru P, Templeton S, Lee D, Karandur D, Pelton JG, Marqusee S, Wemmer D, Kuriyan J. A saturation-mutagenesis analysis of the interplay between stability and activation in Ras. eLife 2022; 11:e76595. [PMID: 35272765 PMCID: PMC8916776 DOI: 10.7554/elife.76595] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 01/25/2022] [Indexed: 12/31/2022] Open
Abstract
Cancer mutations in Ras occur predominantly at three hotspots: Gly 12, Gly 13, and Gln 61. Previously, we reported that deep mutagenesis of H-Ras using a bacterial assay identified many other activating mutations (Bandaru et al., 2017). We now show that the results of saturation mutagenesis of H-Ras in mammalian Ba/F3 cells correlate well with the results of bacterial experiments in which H-Ras or K-Ras are co-expressed with a GTPase-activating protein (GAP). The prominent cancer hotspots are not dominant in the Ba/F3 data. We used the bacterial system to mutagenize Ras constructs of different stabilities and discovered a feature that distinguishes the cancer hotspots. While mutations at the cancer hotspots activate Ras regardless of construct stability, mutations at lower-frequency sites (e.g. at Val 14 or Asp 119) can be activating or deleterious, depending on the stability of the Ras construct. We characterized the dynamics of three non-hotspot activating Ras mutants by using NMR to monitor hydrogen-deuterium exchange (HDX). These mutations result in global increases in HDX rates, consistent with destabilization of Ras. An explanation for these observations is that mutations that destabilize Ras increase nucleotide dissociation rates, enabling activation by spontaneous nucleotide exchange. A further stability decrease can lead to insufficient levels of folded Ras - and subsequent loss of function. In contrast, the cancer hotspot mutations are mechanism-based activators of Ras that interfere directly with the action of GAPs. Our results demonstrate the importance of GAP surveillance and protein stability in determining the sensitivity of Ras to mutational activation.
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Affiliation(s)
- Frank Hidalgo
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, University of California, BerkeleyBerkeleyUnited States
| | - Laura M Nocka
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, University of California, BerkeleyBerkeleyUnited States
| | - Neel H Shah
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, Columbia UniversityNew YorkUnited States
| | - Kent Gorday
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Biophysics Graduate Group, University of California, BerkeleyBerkeleyUnited States
| | - Naomi R Latorraca
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Pradeep Bandaru
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Sage Templeton
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
| | - David Lee
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
| | - Deepti Karandur
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Jeffrey G Pelton
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
| | - Susan Marqusee
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - David Wemmer
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, University of California, BerkeleyBerkeleyUnited States
| | - John Kuriyan
- California Institute for Quantitative Biosciences (QB3), University of California, BerkeleyBerkeleyUnited States
- Howard Hughes Medical Institute, University of California, BerkeleyBerkeleyUnited States
- Department of Chemistry, University of California, BerkeleyBerkeleyUnited States
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
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11
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Potential Role of CXCL13/CXCR5 Signaling in Immune Checkpoint Inhibitor Treatment in Cancer. Cancers (Basel) 2022; 14:cancers14020294. [PMID: 35053457 PMCID: PMC8774093 DOI: 10.3390/cancers14020294] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/30/2021] [Accepted: 01/04/2022] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Immunotherapy is currently the backbone of new drug treatments for many cancer patients. CXC chemokine ligand 13 (CXCL13) is an important factor involved in recruiting immune cells that express CXC chemokine receptor type 5 (CXCR5) in the tumor microenvironment and serves as a key molecular determinant of tertiary lymphoid structure (TLS) formation. An increasing number of studies have identified the influence of CXCL13 on prognosis in patients with cancer, regardless of the use of immunotherapy treatment. However, no comprehensive reviews of the role of CXCL13 in cancer immunotherapy have been published to date. This review aims to provide an overview of the CXCL13/CXCR5 signaling axis to summarize its mechanisms of action in cancer cells and lymphocytes, in addition to effects on immunity and cancer pathobiology, and its potential as a biomarker for the response to cancer immunotherapy. Abstract Immune checkpoint inhibitors (ICIs), including antibodies that target programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), or cytotoxic T lymphocyte antigen 4 (CTLA4), represent some of the most important breakthroughs in new drug development for oncology therapy from the past decade. CXC chemokine ligand 13 (CXCL13) exclusively binds CXC chemokine receptor type 5 (CXCR5), which plays a critical role in immune cell recruitment and activation and the regulation of the adaptive immune response. CXCL13 is a key molecular determinant of the formation of tertiary lymphoid structures (TLSs), which are organized aggregates of T, B, and dendritic cells that participate in the adaptive antitumor immune response. CXCL13 may also serve as a prognostic and predictive factor, and the role played by CXCL13 in some ICI-responsive tumor types has gained intense interest. This review discusses how CXCL13/CXCR5 signaling modulates cancer and immune cells to promote lymphocyte infiltration, activation by tumor antigens, and differentiation to increase the antitumor immune response. We also summarize recent preclinical and clinical evidence regarding the ICI-therapeutic implications of targeting the CXCL13/CXCR5 axis and discuss the potential role of this signaling pathway in cancer immunotherapy.
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12
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Álvarez Z, Kolberg-Edelbrock AN, Sasselli IR, Ortega JA, Qiu R, Syrgiannis Z, Mirau PA, Chen F, Chin SM, Weigand S, Kiskinis E, Stupp SI. Bioactive scaffolds with enhanced supramolecular motion promote recovery from spinal cord injury. Science 2021; 374:848-856. [PMID: 34762454 DOI: 10.1126/science.abh3602] [Citation(s) in RCA: 168] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Z Álvarez
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - A N Kolberg-Edelbrock
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - I R Sasselli
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| | - J A Ortega
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,The Ken & Ruth Davee Department of Neurology, Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - R Qiu
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| | - Z Syrgiannis
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| | - P A Mirau
- Materials and Manufacturing Directorate, Nanostructured and Biological Materials Branch, Air Force Research Laboratories, Wright-Patterson AFB, OH 45433, USA
| | - F Chen
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA
| | - S M Chin
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| | - S Weigand
- DuPont-Northwestern-Dow Collaborative Access Team Synchrotron Research Center, Northwestern University, DND-CAT, Argonne, IL 60439, USA
| | - E Kiskinis
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,The Ken & Ruth Davee Department of Neurology, Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - S I Stupp
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL 60611, USA.,Department of Medicine, Northwestern University, Chicago, IL 60611, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA.,Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
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13
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Waudby C, Christodoulou J. Analysis of conformational exchange processes using methyl-TROSY-based Hahn echo measurements of quadruple-quantum relaxation. MAGNETIC RESONANCE (GOTTINGEN, GERMANY) 2021; 2:777-793. [PMID: 37905227 PMCID: PMC10583286 DOI: 10.5194/mr-2-777-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/14/2021] [Indexed: 11/02/2023]
Abstract
Transverse nuclear spin relaxation is a sensitive probe of chemical exchange on timescales on the order of microseconds to milliseconds. Here we present an experiment for the simultaneous measurement of the relaxation rates of two quadruple-quantum transitions in 13 CH3 -labelled methyl groups. These coherences are protected against relaxation by intra-methyl dipolar interactions and so have unexpectedly long lifetimes within perdeuterated biomacromolecules. However, these coherences also have an order of magnitude higher sensitivity to chemical exchange broadening than lower order coherences and therefore provide ideal probes of dynamic processes. We show that analysis of the static magnetic field dependence of zero-, double- and quadruple-quantum Hahn echo relaxation rates provides a robust indication of chemical exchange and can determine the signed relative magnitudes of proton and carbon chemical shift differences between ground and excited states. We also demonstrate that this analysis can be combined with established Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion measurements, providing improved precision in parameter estimates, particularly in the determination of 1 H chemical shift differences.
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Affiliation(s)
- Christopher A. Waudby
- Institute of Structural and Molecular Biology, University College
London, London, WC1E 6BT, UK
| | - John Christodoulou
- Institute of Structural and Molecular Biology, University College
London, London, WC1E 6BT, UK
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, WC1E 7HX, UK
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14
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Ham D, Ahn D, Ashim J, Cho Y, Kim HR, Yu W, Chung KY. Conformational switch that induces GDP release from Gi. J Struct Biol 2021; 213:107694. [PMID: 33418033 DOI: 10.1016/j.jsb.2020.107694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 12/14/2020] [Accepted: 12/24/2020] [Indexed: 12/26/2022]
Abstract
Heterotrimeric guanine nucleotide-binding proteins (G proteins) are composed of α, β, and γ subunits. Gα switches between guanosine diphosphate (GDP)-bound inactive and guanosine triphosphate (GTP)-bound active states, and Gβγ interacts with the GDP-bound state. The GDP-binding regions are composed of two sites: the phosphate-binding and guanine-binding regions. The turnover of GDP and GTP is induced by guanine nucleotide-exchange factors (GEFs), including G protein-coupled receptors (GPCRs), Ric8A, and GIV/Girdin. However, the key structural factors for stabilizing the GDP-bound state of G proteins and the direct structural event for GDP release remain unclear. In this study, we investigated structural factors affecting GDP release by introducing point mutations in selected, conserved residues in Gαi3. We examined the effects of these mutations on the GDP/GTP turnover rate and the overall conformation of Gαi3 as well as the binding free energy between Gαi3 and GDP. We found that dynamic changes in the phosphate-binding regions are an immediate factor for the release of GDP.
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Affiliation(s)
- Donghee Ham
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
| | - Donghoon Ahn
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
| | - Janbolat Ashim
- Department of Brain and Cognitive Sciences, DGIST, 333 Techno jungang-daero, Daegu 42988, Republic of Korea
| | - Yejin Cho
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
| | - Hee Ryung Kim
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
| | - Wookyung Yu
- Department of Brain and Cognitive Sciences, DGIST, 333 Techno jungang-daero, Daegu 42988, Republic of Korea; Core Protein Resources Center, DGIST, 333 Techno jungang-daero, Daegu 42988, Republic of Korea.
| | - Ka Young Chung
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea.
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15
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Spotlight on the Ballet of Proteins: The Structural Dynamic Properties of Proteins Illuminated by Solution NMR. Int J Mol Sci 2020; 21:ijms21051829. [PMID: 32155847 PMCID: PMC7084655 DOI: 10.3390/ijms21051829] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/01/2020] [Accepted: 03/04/2020] [Indexed: 12/22/2022] Open
Abstract
Solution NMR spectroscopy is a unique and powerful technique that has the ability to directly connect the structural dynamics of proteins in physiological conditions to their activity and function. Here, we summarize recent studies in which solution NMR contributed to the discovery of relationships between key dynamic properties of proteins and functional mechanisms in important biological systems. The capacity of NMR to quantify the dynamics of proteins over a range of time scales and to detect lowly populated protein conformations plays a critical role in its power to unveil functional protein dynamics. This analysis of dynamics is not only important for the understanding of biological function, but also in the design of specific ligands for pharmacologically important proteins. Thus, the dynamic view of structure provided by NMR is of importance in both basic and applied biology.
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16
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Alderson TR, Kay LE. Unveiling invisible protein states with NMR spectroscopy. Curr Opin Struct Biol 2020; 60:39-49. [DOI: 10.1016/j.sbi.2019.10.008] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/28/2019] [Indexed: 12/24/2022]
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17
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Schütz S, Sprangers R. Methyl TROSY spectroscopy: A versatile NMR approach to study challenging biological systems. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2020; 116:56-84. [PMID: 32130959 DOI: 10.1016/j.pnmrs.2019.09.004] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/09/2019] [Accepted: 09/25/2019] [Indexed: 05/21/2023]
Abstract
A major goal in structural biology is to unravel how molecular machines function in detail. To that end, solution-state NMR spectroscopy is ideally suited as it is able to study biological assemblies in a near natural environment. Based on methyl TROSY methods, it is now possible to record high-quality data on complexes that are far over 100 kDa in molecular weight. In this review, we discuss the theoretical background of methyl TROSY spectroscopy, the information that can be extracted from methyl TROSY spectra and approaches that can be used to assign methyl resonances in large complexes. In addition, we touch upon insights that have been obtained for a number of challenging biological systems, including the 20S proteasome, the RNA exosome, molecular chaperones and G-protein-coupled receptors. We anticipate that methyl TROSY methods will be increasingly important in modern structural biology approaches, where information regarding static structures is complemented with insights into conformational changes and dynamic intermolecular interactions.
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Affiliation(s)
- Stefan Schütz
- Institute of Biophysics and Physical Biochemistry, University of Regensburg, Universitätsstrasse 31, 93053 Regensburg, Germany
| | - Remco Sprangers
- Institute of Biophysics and Physical Biochemistry, University of Regensburg, Universitätsstrasse 31, 93053 Regensburg, Germany.
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18
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Waudby CA, Ouvry M, Davis B, Christodoulou J. Two-dimensional NMR lineshape analysis of single, multiple, zero and double quantum correlation experiments. JOURNAL OF BIOMOLECULAR NMR 2020; 74:95-109. [PMID: 31915980 PMCID: PMC7015968 DOI: 10.1007/s10858-019-00297-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 12/31/2019] [Indexed: 05/05/2023]
Abstract
NMR spectroscopy provides a powerful approach for the characterisation of chemical exchange and molecular interactions by analysis of series of experiments acquired over the course of a titration measurement. The appearance of NMR resonances undergoing chemical exchange depends on the frequency difference relative to the rate of exchange, and in the case of one-dimensional experiments chemical exchange regimes are well established and well known. However, two-dimensional experiments present additional complexity, as at least one additional frequency difference must be considered. Here we provide a systematic classification of chemical exchange regimes in two-dimensional NMR spectra. We highlight important differences between exchange in HSQC and HMQC experiments, that on a practical level result in more severe exchange broadening in HMQC spectra, but show that complementary alternatives to the HMQC are available in the form of HZQC and HDQC experiments. We present the longitudinal relaxation optimised SOFAST-H(Z/D)QC experiment for the simultaneous acquisition of sensitivity-enhanced HZQC and HDQC spectra, and the longitudinal and transverse relaxation optimised BEST-ZQ-TROSY for analysis of large molecular weight systems. We describe the application of these experiments to the characterisation of the interaction between the Hsp90 N-terminal domain and a small molecule ligand, and show that the independent analysis of HSQC, HMQC, HZQC and HDQC experiments provides improved confidence in the fitted dissociation constant and dissociation rate. Joint analysis of such data may provide improved sensitivity to detect and analyse more complex multi-state interaction mechanisms such as induced fit or conformational selection.
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Affiliation(s)
- Christopher A Waudby
- Institute of Structural and Molecular Biology, University College London and Birkbeck College, London, UK.
| | - Margaux Ouvry
- Biotechnologie, Sanofi, Route d'Avignon, 30390, Aramon, France
| | - Ben Davis
- Vernalis (R&D) Limited, Granta Park, Great Abington, UK
| | - John Christodoulou
- Institute of Structural and Molecular Biology, University College London and Birkbeck College, London, UK
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19
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Zhan H, Huang Y, Chen Z. High-Resolution Probing of Heterogeneous Samples by Spatially Selective Pure Shift NMR Spectroscopy. J Phys Chem Lett 2019; 10:7356-7361. [PMID: 31718190 DOI: 10.1021/acs.jpclett.9b03092] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Liquid NMR spectroscopy generally encounters two major challenges for high-resolution measurements of heterogeneous samples, namely, magnetic field inhomogeneity caused by spatial variations in magnetic susceptibility and spectral congestion induced by crowded NMR resonances. In this study, we demonstrate a spatially selective pure shift NMR approach for high-resolution probing of heterogeneous samples by suppressing effects of field inhomogeneity and J coupling simultaneously. A Fourier phase encoding strategy is proposed and implemented for spatially selective pure shift experiments to enhance signal intensity and further boost the applicability. The spatially selective pure shift method can serve as an effective tool for high-resolution probing of heterogeneous samples, thus presenting interesting prospects for extensive applications in the fields of chemistry, physics, biology, and food science.
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Affiliation(s)
- Haolin Zhan
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces , Xiamen University , Xiamen 361005 , China
| | - Yuqing Huang
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces , Xiamen University , Xiamen 361005 , China
| | - Zhong Chen
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces , Xiamen University , Xiamen 361005 , China
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20
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Arthanari H, Takeuchi K, Dubey A, Wagner G. Emerging solution NMR methods to illuminate the structural and dynamic properties of proteins. Curr Opin Struct Biol 2019; 58:294-304. [PMID: 31327528 PMCID: PMC6778509 DOI: 10.1016/j.sbi.2019.06.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 06/03/2019] [Accepted: 06/10/2019] [Indexed: 12/20/2022]
Abstract
The first recognition of protein breathing was more than 50 years ago. Today, we are able to detect the multitude of interaction modes, structural polymorphisms, and binding-induced changes in protein structure that direct function. Solution-state NMR spectroscopy has proved to be a powerful technique, not only to obtain high-resolution structures of proteins, but also to provide unique insights into the functional dynamics of proteins. Here, we summarize recent technical landmarks in solution NMR that have enabled characterization of key biological macromolecular systems. These methods have been fundamental to atomic resolution structure determination and quantitative analysis of dynamics over a wide range of time scales by NMR. The ability of NMR to detect lowly populated protein conformations and transiently formed complexes plays a critical role in its ability to elucidate functionally important structural features of proteins and their dynamics.
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Affiliation(s)
- Haribabu Arthanari
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, United States; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, United States.
| | - Koh Takeuchi
- Molecular Profiling Research Center for Drug Discovery, National Institute of Advanced Industrial Science and Technology, 135-0064 Tokyo, Japan.
| | - Abhinav Dubey
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, United States; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, United States
| | - Gerhard Wagner
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, United States.
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21
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Gill ML, Hsu A, Palmer AG. Detection of chemical exchange in methyl groups of macromolecules. JOURNAL OF BIOMOLECULAR NMR 2019; 73:443-450. [PMID: 31407203 PMCID: PMC6862771 DOI: 10.1007/s10858-019-00240-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 03/08/2019] [Indexed: 06/10/2023]
Abstract
The zero- and double-quantum methyl TROSY Hahn-echo and the methyl 1H-1H dipole-dipole cross-correlation nuclear magnetic resonance experiments enable estimation of multiple quantum chemical exchange broadening in methyl groups in proteins. The two relaxation rate constants are established to be linearly dependent using molecular dynamics simulations and empirical analysis of experimental data. This relationship allows chemical exchange broadening to be recognized as an increase in the Hahn-echo relaxation rate constant. The approach is illustrated by analyzing relaxation data collected at three temperatures for E. coli ribonuclease HI and by analyzing relaxation data collected for different cofactor and substrate complexes of E. coli AlkB.
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Affiliation(s)
- Michelle L Gill
- Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, New York, NY, 10032, USA
- BenevolentAI, 81 Prospect St, Brooklyn, NY, 11201, USA
| | - Andrew Hsu
- Department of Chemistry, Columbia University, 3000 Broadway, New York, NY, 10027, USA
| | - Arthur G Palmer
- Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, New York, NY, 10032, USA.
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22
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Toyama Y, Shimada I. Frequency selective coherence transfer NMR spectroscopy to study the structural dynamics of high molecular weight proteins. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2019; 304:62-77. [PMID: 31129430 DOI: 10.1016/j.jmr.2019.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/05/2019] [Accepted: 05/14/2019] [Indexed: 06/09/2023]
Abstract
Multidimensional nuclear magnetic resonance (NMR) spectroscopy has enabled detailed characterizations of protein structures and dynamics that are closely linked to functions. However, it leads to a large sensitivity loss in applications to high molecular weight proteins, which is caused by spin relaxation during the frequency discrimination period in the indirect dimension. Here, we describe a selective coherence transfer scheme, which enables us to selectively observe 1H nuclei bonded to 15N or 13C nuclei with specified resonance frequencies. By utilizing this scheme, we achieved a 2.5- to 6-fold increase in signal height per unit of time with this scheme by avoiding the relaxation loss in the indirect dimension, as compared to the conventional two-dimensional heteronuclear correlation spectroscopy. We also demonstrated the effectiveness of this approach with applications to the membrane protein KirBac1.1, and characterized the functionally relevant conformational exchange process in both detergent micelles and a reconstituted membrane environment, corresponding to the apparent molecular masses of 220 kDa and 300 kDa, respectively.
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Affiliation(s)
- Yuki Toyama
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Ichio Shimada
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
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23
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Kano H, Toyama Y, Imai S, Iwahashi Y, Mase Y, Yokogawa M, Osawa M, Shimada I. Structural mechanism underlying G protein family-specific regulation of G protein-gated inwardly rectifying potassium channel. Nat Commun 2019; 10:2008. [PMID: 31043612 PMCID: PMC6494913 DOI: 10.1038/s41467-019-10038-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 04/12/2019] [Indexed: 01/26/2023] Open
Abstract
G protein-gated inwardly rectifying potassium channel (GIRK) plays a key role in regulating neurotransmission. GIRK is opened by the direct binding of the G protein βγ subunit (Gβγ), which is released from the heterotrimeric G protein (Gαβγ) upon the activation of G protein-coupled receptors (GPCRs). GIRK contributes to precise cellular responses by specifically and efficiently responding to the Gi/o-coupled GPCRs. However, the detailed mechanisms underlying this family-specific and efficient activation are largely unknown. Here, we investigate the structural mechanism underlying the Gi/o family-specific activation of GIRK, by combining cell-based BRET experiments and NMR analyses in a reconstituted membrane environment. We show that the interaction formed by the αA helix of Gαi/o mediates the formation of the Gαi/oβγ-GIRK complex, which is responsible for the family-specific activation of GIRK. We also present a model structure of the Gαi/oβγ-GIRK complex, which provides the molecular basis underlying the specific and efficient regulation of GIRK.
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Affiliation(s)
- Hanaho Kano
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yuki Toyama
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Shunsuke Imai
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yuta Iwahashi
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yoko Mase
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Mariko Yokogawa
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Faculty of Pharmacy, Keio University, Shibakoen, Minato-ku, Tokyo, 105-8512, Japan
| | - Masanori Osawa
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Faculty of Pharmacy, Keio University, Shibakoen, Minato-ku, Tokyo, 105-8512, Japan
| | - Ichio Shimada
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
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24
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Hu W, Wang H, Hou Y, Hao Y, Liu D. Trimethylsilyl reporter groups for NMR studies of conformational changes in G protein-coupled receptors. FEBS Lett 2019; 593:1113-1121. [PMID: 30953343 DOI: 10.1002/1873-3468.13382] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 03/04/2019] [Accepted: 03/26/2019] [Indexed: 12/22/2022]
Abstract
Large membrane proteins such as G protein-coupled receptors (GPCRs) are difficult for NMR study due to severe signal overlaps and unfavorable relaxation properties. We used a trimethylsilyl (TMS) group as a reporter group for 1 H NMR study of conformational changes in proteins, utilizing high-intensity 1 H NMR signals near 0 p.p.m. The β2 -adrenergic receptor was labeled with TMS groups at two cysteines located at the cytoplasmic ends of helices VI and VII. Binding of various ligands led to changes in 1 H NMR signals, which manifested that helix VI is sensitive to G protein-specific activation, whereas helix VII is sensitive to β-arrestin-specific activation. Thus, the TMS group is a useful reporter group in NMR for studying conformational changes in membrane proteins such as GPCRs.
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Affiliation(s)
- Wanhui Hu
- iHuman Institute, ShanghaiTech University, China
| | - Huixia Wang
- iHuman Institute, ShanghaiTech University, China.,Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yaguang Hou
- iHuman Institute, ShanghaiTech University, China.,Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yimei Hao
- iHuman Institute, ShanghaiTech University, China.,Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China
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25
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Goricanec D, Hagn F. NMR backbone and methyl resonance assignments of an inhibitory G-alpha subunit in complex with GDP. BIOMOLECULAR NMR ASSIGNMENTS 2019; 13:131-137. [PMID: 30539422 DOI: 10.1007/s12104-018-9865-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 12/06/2018] [Indexed: 06/09/2023]
Abstract
G-proteins are essential switch points at the cell membrane that control downstream signaling by their ability to adopt an inactive, GDP-bound or an active, GTP-bound state. Among other exchange factors, G-protein coupled receptors (GPCRs) induce exchange of GDP to GTP and thus promote the active state of the G-protein. The nucleotide-binding α subunit of the G-protein undergoes major conformational changes upon nucleotide binding. Thus, an NMR analysis of the two distinct nucleotide-bound states is essential for a more detailed understanding of associated structural changes. Here, we provide an NMR backbone as well as methyl group resonance assignment of an inhibitory G-alpha subunit subtype 1 (Gαi,1) in the GDP-bound form and show that, in contrast to the GTP-bound form, large parts of the protein are mobile, presumably caused by a loose arrangement of the two subdomains in Gα that tightly interact with each other only in the GTP-bound state. As the GDP-bound form represents the GPCR-binding-competent state, the presented NMR data will be essential for further studies on G-protein-GPCR interactions and dynamics in solution for receptor systems that couple to G-proteins containing an inhibitory Gα,1 subunit.
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Affiliation(s)
- David Goricanec
- Bavarian NMR Center at the Department of Chemistry and Institute for Advanced Study, Technical University of Munich, Ernst-Otto-Fischer-Str. 2, 85748, Garching, Germany
- Institute of Structural Biology, Helmholtz Center Munich, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Franz Hagn
- Bavarian NMR Center at the Department of Chemistry and Institute for Advanced Study, Technical University of Munich, Ernst-Otto-Fischer-Str. 2, 85748, Garching, Germany.
- Institute of Structural Biology, Helmholtz Center Munich, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
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26
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Abstract
The phenomenon of chemical or conformational exchange in NMR spectroscopy has enabled detailed characterization of time-dependent aspects of biomolecular function, including folding, molecular recognition, allostery, and catalysis, on timescales from microsecond to second. Importantly, NMR methods based on a variety of spin relaxation parameters have been developed that provide quantitative information on interconversion kinetics, thermodynamic properties, and structural features of molecular states populated to a fraction of a percent at equilibrium and otherwise unobservable by other NMR approaches. The ongoing development of more sophisticated experimental techniques and the necessity to apply these methods to larger and more complex molecular systems engenders a corresponding need for theoretical advances describing such techniques and facilitating data analysis in applications. This review surveys current aspects of the theory of chemical exchange, as utilized in ZZ-exchange; Hahn and Carr-Purcell-Meiboom-Gill (CPMG) spin-echo; and R1ρ, chemical exchange saturation transfer (CEST), and dark state saturation transfer (DEST) spin-locking experiments. The review emphasizes theoretical results for kinetic topologies with more than two interconverting states, both to obtain compact analytical forms suitable for data analysis and to establish conditions for distinguishability between alternative kinetic schemes.
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Affiliation(s)
- Arthur G Palmer
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, United States.
| | - Hans Koss
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, United States
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27
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GPCR drug discovery: integrating solution NMR data with crystal and cryo-EM structures. Nat Rev Drug Discov 2018; 18:59-82. [PMID: 30410121 DOI: 10.1038/nrd.2018.180] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The 826 G protein-coupled receptors (GPCRs) in the human proteome regulate key physiological processes and thus have long been attractive drug targets. With the crystal structures of more than 50 different human GPCRs determined over the past decade, an initial platform for structure-based rational design has been established for drugs that target GPCRs, which is currently being augmented with cryo-electron microscopy (cryo-EM) structures of higher-order GPCR complexes. Nuclear magnetic resonance (NMR) spectroscopy in solution is one of the key approaches for expanding this platform with dynamic features, which can be accessed at physiological temperature and with minimal modification of the wild-type GPCR covalent structures. Here, we review strategies for the use of advanced biochemistry and NMR techniques with GPCRs, survey projects in which crystal or cryo-EM structures have been complemented with NMR investigations and discuss the impact of this integrative approach on GPCR biology and drug discovery.
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28
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Boswell ZK, Latham MP. Methyl-Based NMR Spectroscopy Methods for Uncovering Structural Dynamics in Large Proteins and Protein Complexes. Biochemistry 2018; 58:144-155. [PMID: 30336000 DOI: 10.1021/acs.biochem.8b00953] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
NMR spectroscopy is particularly adept at site-specifically monitoring dynamic processes in proteins, such as protein folding, domain movements, ligand binding, and side-chain rotations. By coupling the favorable spectroscopic properties of highly dynamic side-chain methyl groups with transverse-relaxation-optimized spectroscopy (TROSY), it is now possible to routinely study such dynamic processes in high-molecular-weight proteins and complexes approaching 1 MDa. In this Perspective, we describe many elegant methyl-based NMR experiments that probe slow (second) to fast (picosecond) dynamics in large systems. To demonstrate the power of these methods, we also provide interesting examples of studies that utilized each methyl-based NMR technique to uncover functionally important dynamics. In many cases, the NMR experiments are paired with site-directed mutagenesis and/or other biochemical assays to put the dynamics and function into context. Our vision of the future of structural biology involves pairing methyl-based NMR spectroscopy with biochemical studies to advance our knowledge of the motions large proteins and macromolecular complexes use to choreograph complex functions. Such studies will be essential in elucidating the critical structural dynamics that underlie function and characterizing alterations in these processes that can lead to human disease.
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Affiliation(s)
- Zachary K Boswell
- Department of Chemistry and Biochemistry , Texas Tech University , Lubbock , Texas 79423 , United States
| | - Michael P Latham
- Department of Chemistry and Biochemistry , Texas Tech University , Lubbock , Texas 79423 , United States
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29
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Sun X, Singh S, Blumer KJ, Bowman GR. Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding. eLife 2018; 7:e38465. [PMID: 30289386 PMCID: PMC6224197 DOI: 10.7554/elife.38465] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/04/2018] [Indexed: 12/12/2022] Open
Abstract
Activation of heterotrimeric G proteins is a key step in many signaling cascades. However, a complete mechanism for this process, which requires allosteric communication between binding sites that are ~30 Å apart, remains elusive. We construct an atomically detailed model of G protein activation by combining three powerful computational methods: metadynamics, Markov state models (MSMs), and CARDS analysis of correlated motions. We uncover a mechanism that is consistent with a wide variety of structural and biochemical data. Surprisingly, the rate-limiting step for GDP release correlates with tilting rather than translation of the GPCR-binding helix 5. β-Strands 1 - 3 and helix 1 emerge as hubs in the allosteric network that links conformational changes in the GPCR-binding site to disordering of the distal nucleotide-binding site and consequent GDP release. Our approach and insights provide foundations for understanding disease-implicated G protein mutants, illuminating slow events in allosteric networks, and examining unbinding processes with slow off-rates.
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Affiliation(s)
- Xianqiang Sun
- Department of Biochemistry and Molecular BiophysicsWashington University School of MedicineMissouriUnited States
| | - Sukrit Singh
- Department of Biochemistry and Molecular BiophysicsWashington University School of MedicineMissouriUnited States
| | - Kendall J Blumer
- Department of Cell Biology and PhysiologyWashington University School of MedicineMissouriUnited States
| | - Gregory R Bowman
- Department of Biochemistry and Molecular BiophysicsWashington University School of MedicineMissouriUnited States
- Center for Biological Systems EngineeringWashington University School of MedicineMissouriUnited States
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30
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Hilger D, Masureel M, Kobilka BK. Structure and dynamics of GPCR signaling complexes. Nat Struct Mol Biol 2018; 25:4-12. [PMID: 29323277 PMCID: PMC6535338 DOI: 10.1038/s41594-017-0011-7] [Citation(s) in RCA: 593] [Impact Index Per Article: 84.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 11/21/2017] [Indexed: 12/16/2022]
Abstract
G-protein-coupled receptors (GPCRs) relay numerous extracellular signals by triggering intracellular signaling through coupling with G proteins and arrestins. Recent breakthroughs in the structural determination of GPCRs and GPCR-transducer complexes represent important steps toward deciphering GPCR signal transduction at a molecular level. A full understanding of the molecular basis of GPCR-mediated signaling requires elucidation of the dynamics of receptors and their transducer complexes as well as their energy landscapes and conformational transition rates. Here, we summarize current insights into the structural plasticity of GPCR-G-protein and GPCR-arrestin complexes that underlies the regulation of the receptor's intracellular signaling profile.
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Affiliation(s)
- Daniel Hilger
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthieu Masureel
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Brian K Kobilka
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
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