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      Discovery of Human Signaling Systems: Pairing Peptides to G Protein-Coupled Receptors

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          Summary

          The peptidergic system is the most abundant network of ligand-receptor-mediated signaling in humans. However, the physiological roles remain elusive for numerous peptides and more than 100 G protein-coupled receptors (GPCRs). Here we report the pairing of cognate peptides and receptors. Integrating comparative genomics across 313 species and bioinformatics on all protein sequences and structures of human class A GPCRs, we identify universal characteristics that uncover additional potential peptidergic signaling systems. Using three orthogonal biochemical assays, we pair 17 proposed endogenous ligands with five orphan GPCRs that are associated with diseases, including genetic, neoplastic, nervous and reproductive system disorders. We also identify additional peptides for nine receptors with recognized ligands and pathophysiological roles. This integrated computational and multifaceted experimental approach expands the peptide-GPCR network and opens the way for studies to elucidate the roles of these signaling systems in human physiology and disease.

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          Highlights

          • Universal characteristics enabled prediction of peptide ligands and receptors

          • Multifaceted screening enabled detection of pathway- and assay-dependent responses

          • Peptide ligands discovered for BB 3, GPR1, GPR15, GPR55, and GPR68

          • Each signaling system is a link to human physiology and is associated with disease

          Abstract

          Features learned from comparative sequence and structural analyses enabled prediction of peptide ligands for orphan GPCRs that, when coupled with functional validation, expose physiologically relevant signaling systems.

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          Most cited references74

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          CASTp 3.0: computed atlas of surface topography of proteins

          Abstract Geometric and topological properties of protein structures, including surface pockets, interior cavities and cross channels, are of fundamental importance for proteins to carry out their functions. Computed Atlas of Surface Topography of proteins (CASTp) is a web server that provides online services for locating, delineating and measuring these geometric and topological properties of protein structures. It has been widely used since its inception in 2003. In this article, we present the latest version of the web server, CASTp 3.0. CASTp 3.0 continues to provide reliable and comprehensive identifications and quantifications of protein topography. In addition, it now provides: (i) imprints of the negative volumes of pockets, cavities and channels, (ii) topographic features of biological assemblies in the Protein Data Bank, (iii) improved visualization of protein structures and pockets, and (iv) more intuitive structural and annotated information, including information of secondary structure, functional sites, variant sites and other annotations of protein residues. The CASTp 3.0 web server is freely accessible at http://sts.bioe.uic.edu/castp/.
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            Assigning protein functions by comparative genome analysis: protein phylogenetic profiles.

            Determining protein functions from genomic sequences is a central goal of bioinformatics. We present a method based on the assumption that proteins that function together in a pathway or structural complex are likely to evolve in a correlated fashion. During evolution, all such functionally linked proteins tend to be either preserved or eliminated in a new species. We describe this property of correlated evolution by characterizing each protein by its phylogenetic profile, a string that encodes the presence or absence of a protein in every known genome. We show that proteins having matching or similar profiles strongly tend to be functionally linked. This method of phylogenetic profiling allows us to predict the function of uncharacterized proteins.
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              PRESTO-TANGO: an open-source resource for interrogation of the druggable human GPCR-ome

              G protein-coupled receptors (GPCRs) are essential mediators of cellular signaling and important targets of drug action. Of the approximately 350 non-olfactory human GPCRs, more than 100 are still considered “orphans” as their endogenous ligand(s) remain unknown. Here, we describe a unique open-source resource that provides the capacity to interrogate the druggable human GPCR-ome via a G protein-independent β-arrestin recruitment assay. We validate this unique platform at more than 120 non-orphan human GPCR targets, demonstrate its utility for discovering new ligands for orphan human GPCRs, and describe a method (PRESTO-TANGO; Parallel Receptor-ome Expression and Screening via Transcriptional Output - TANGO) for the simultaneous and parallel interrogation of the entire human GPCR-ome.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                31 October 2019
                31 October 2019
                : 179
                : 4
                : 895-908.e21
                Affiliations
                [1 ]Department of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
                [2 ]Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA
                [3 ]Department of Pharmacology, School of Medicine, and the Division of Medicinal Chemistry and Chemical Biology, Eshelman School of Pharmacy, and the NIMH Psychoactive Drug Screening Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
                [4 ]Department of Medicine, Center for Translational Medicine and Division of Pulmonary, Allergy and Critical Care Medicine; Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA 19107, USA
                Author notes
                []Corresponding author simon.foster@ 123456monash.edu
                [∗∗ ]Corresponding author alexander.hauser@ 123456sund.ku.dk
                [∗∗∗ ]Corresponding author hbo@ 123456sund.ku.dk
                [∗∗∗∗ ]Corresponding author david.gloriam@ 123456sund.ku.dk
                [5]

                Present address: Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia

                [6]

                These authors contributed equally

                [7]

                Senior author

                [8]

                Lead Contact

                Article
                S0092-8674(19)31126-2
                10.1016/j.cell.2019.10.010
                6838683
                31675498
                7a389f5d-88b5-475d-bfc1-6665d50b53a2
                © 2019 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 20 January 2019
                : 18 August 2019
                : 8 October 2019
                Categories
                Article

                Cell biology
                gpcr,peptide ligand,endogenous ligand,deorphanization,orphan receptor,genomics,evolution,pharmacological screening,receptor internalization,machine learning

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