834
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Phylogenetic analysis of 277 human G-protein-coupled receptors as a tool for the prediction of orphan receptor ligands

      research-article
      1 , 1 ,
      Genome Biology
      BioMed Central

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          G-protein-coupled receptors (GPCRs) are the largest and most diverse family of transmembrane receptors. A pylogenetic analysis shows the overall relationship of 277 human GPCRs. An emphasis on receptors with no identified natural ligand may prove valuable for identification of the ligands of 'orphan' receptors.

          Abstract

          Background

          G-protein-coupled receptors (GPCRs) are the largest and most diverse family of transmembrane receptors. They respond to a wide range of stimuli, including small peptides, lipid analogs, amino-acid derivatives, and sensory stimuli such as light, taste and odor, and transmit signals to the interior of the cell through interaction with heterotrimeric G proteins. A large number of putative GPCRs have no identified natural ligand. We hypothesized that a more complete knowledge of the phylogenetic relationship of these orphan receptors to receptors with known ligands could facilitate ligand identification, as related receptors often have ligands with similar structural features.

          Results

          A database search excluding olfactory and gustatory receptors was used to compile a list of accession numbers and synonyms of 81 orphan and 196 human GPCRs with known ligands. Of these, 241 sequences belonging to the rhodopsin receptor-like family A were aligned and a tentative phylogenetic tree constructed by neighbor joining. This tree and local alignment tools were used to define 19 subgroups of family A small enough for more accurate maximum-likelihood analyses. The secretin receptor-like family B and metabotropic glutamate receptor-like family C were directly subjected to these methods.

          Conclusions

          Our trees show the overall relationship of 277 GPCRs with emphasis on orphan receptors. Support values are given for each branch. This approach may prove valuable for identification of the natural ligands of orphan receptors as their relation to receptors with known ligands becomes more evident.

          Related collections

          Most cited references62

          • Record: found
          • Abstract: not found
          • Article: not found

          TreeView: an application to display phylogenetic trees on personal computers.

          R D Page (1996)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Amino acid substitution matrices from protein blocks.

            Methods for alignment of protein sequences typically measure similarity by using a substitution matrix with scores for all possible exchanges of one amino acid with another. The most widely used matrices are based on the Dayhoff model of evolutionary rates. Using a different approach, we have derived substitution matrices from about 2000 blocks of aligned sequence segments characterizing more than 500 groups of related proteins. This led to marked improvements in alignments and in searches using queries from each of the groups.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Construction of phylogenetic trees.

                Bookmark

                Author and article information

                Journal
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1465-6906
                1465-6914
                2002
                17 October 2002
                : 3
                : 11
                : research0063.1-research0063.16
                Affiliations
                [1 ]Research Group Protective Signaling, Zentrum für Molekulare Neurobiologie Hamburg and Klinik für Neurologie, Universitätskrankenhaus Eppendorf, Martinistrasse 52, D-20251 Hamburg, Germany
                Correspondence: Axel Methner. E-mail: methner@uke.uni-hamburg.de
                Article
                gb-2002-3-11-research0063
                10.1186/gb-2002-3-11-research0063
                133447
                12429062
                48e726ea-f5d9-4fd8-ab3b-aa39672cb7b4
                Copyright © 2002 Joost and Methner, licensee BioMed Central Ltd
                History
                : 19 June 2002
                : 7 August 2002
                : 18 September 2002
                Categories
                Research

                Genetics
                Genetics

                Comments

                Comment on this article