ArticleThe Journal of biological chemistry2015
Determinants of endogenous ligand specificity divergence among metabotropic glutamate receptors.
Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- CryoEM structure of mGlu6 captures receptor activation prior to G protein coupling.Nature communications · 2026Article
- Subsynaptic mobility of presynaptic mGluR types is differentially regulated by intra- and extracellular interactions.Molecular biology of the cell · 2022Article
- Metabotropic Glutamate Receptors in Alzheimer's Disease Synaptic Dysfunction: Therapeutic Opportunities and Hope for the Future.Journal of Alzheimer's disease : JAD · 2020Review
- Residues and residue pairs of evolutionary importance differentially direct signaling bias of D2 dopamine receptors.The Journal of biological chemistry · 2019Article
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- Evolutionary action and structural basis of the allosteric switch controlling βNature communications · 2017Article
- HUMAN KINASES DISPLAY MUTATIONAL HOTSPOTS AT COGNATE POSITIONS WITHIN CANCER.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
- Mechanism of Assembly and Cooperativity of Homomeric and Heteromeric Metabotropic Glutamate Receptors.Neuron · 2016Article
- Integrating structural and mutagenesis data to elucidate GPCR ligand binding.Current opinion in pharmacology · 2016Review
- Intramolecular allosteric communication in dopamine D2 receptor revealed by evolutionary amino acid covariation.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures.Nucleic acids research · 2016Article
- Diversity in protein domain superfamilies.Current opinion in genetics & development · 2015Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
To determine the structural origins of diverse ligand response specificities among metabotropic glutamate receptors (mGluRs), we combined computational approaches with mutagenesis and ligand response assays to identify specificity-determining residues in the group I receptor, mGluR1, and the group III receptors, mGluR4 and mGluR7. Among these, mGluR1 responds to L-glutamate effectively, whereas it binds weakly to another endogenous ligand, L-serine-O-phosphate (L-SOP), which antagonizes the effects of L-glutamate. In contrast, mGluR4 has in common with other group III mGluR that it is activated with higher potency and efficacy by L-SOP. mGluR7 differs from mGluR4 and other group III mGluR in that L-glutamate and L-SOP activate it with low potency and efficacy. Enhanced versions of the evolutionary trace (ET) algorithm were used to identify residues that when swapped between mGluR1 and mGluR4 increased the potency of L-SOP inhibition relative to the potency of L-glutamate activation in mGluR1 mutants and others that diminished the potency/efficacy of L-SOP for mGluR4 mutants. In addition, combining ET identified swaps from mGluR4 with one identified by computational docking produced mGluR7 mutants that respond with dramatically enhanced potency/efficacy to L-SOP. These results reveal that an early functional divergence between group I/II and group III involved variation at positions primarily at allosteric sites located outside of binding pockets, whereas a later divergence within group III occurred through sequence variation both at the ligand-binding pocket and at loops near the dimerization interface and interlobe hinge region. They also demonstrate the power of ET for identifying allosteric determinants of evolutionary importance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.