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Metabotropic glutamate receptors (mGluRs) are dimeric G-protein-coupled receptors that operate at synapses. Macroscopic and single molecule FRET to monitor structural rearrangements in the ligand binding domain (LBD) of the mGluR7/7 homodimer revealed it to have an apparent affinity ~4000-fold lower than other mGluRs and a maximal activation of only ~10%, seemingly too low for activation at synapses. However, mGluR7 heterodimerizes, and we find it to associate with mGluR2 in the hippocampus. Strikingly, the mGluR2/7 heterodimer has high affinity and efficacy. mGluR2/7 shows cooperativity in which an unliganded subunit greatly enhances activation by agonist bound to its heteromeric partner, and a unique conformational pathway to activation, in which mGluR2/7 partially activates in the Apo state, even when its LBDs are held open by antagonist. High sensitivity and an unusually broad dynamic range should enable mGluR2/7 to respond to both glutamate transients from nearby release and spillover from distant synapses.
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http://dx.doi.org/10.1038/s41467-019-13407-8 | DOI Listing |
J Phys Chem B
September 2025
School of Science, RMIT University, Melbourne 3000, Australia.
Pentameric ligand-gated ion channels control synaptic neurotransmission via an allosteric mechanism, whereby agonist binding induces global protein conformational changes that open an ion-conducting pore. For the proton-activated bacterial () ligand-gated ion channel (GLIC), high-resolution structures are available in multiple conformational states. We used a library of atomistic molecular dynamics (MD) simulations to study conformational changes and to perform dynamic network analysis to elucidate the communication pathways underlying the gating process.
View Article and Find Full Text PDFJBMR Plus
October 2025
Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia.
Genome-wide association studies (GWAS) relevant to osteoporosis have identified hundreds of loci; however, understanding how these variants influence the phenotype is complicated because most reside in non-coding DNA sequence that serves as transcriptional enhancers and repressors. To advance knowledge on these regulatory elements in osteoclasts (OCs), we performed Micro-C analysis, which informs on the genome topology of these cells and integrated the results with transcriptome and GWAS data to further define loci linked to BMD. Using blood cells isolated from 4 healthy participants aged 31-61 yr, we cultured OC in vitro and generated a Micro-C chromatin conformation capture dataset.
View Article and Find Full Text PDFJ Phys Chem A
September 2025
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Ionization of alkanes to form radical cations activates their otherwise unreactive C-H bonds, facilitating important chemical processes such as hydrocarbon cracking. This work investigates the radical cation dissociation dynamics of hexane (CH) structural isomers by using femtosecond time-resolved mass spectrometry and quantum chemical calculations. All five isomers exhibit competition between the yields of fragment ions arising from direct C-C bond cleavage or dissociative rearrangement with hydrogen migration on dynamical time scales of ∼50-300 fs, suggesting that hydrogen migration in the metastable cations operates on such short time scales.
View Article and Find Full Text PDFTransl Oncol
September 2025
The University of New Mexico, Albuquerque, NM, USA. Electronic address:
Ovarian and endometrial cancers frequently harbor a mutation in the tumor suppressor gene TP53, which occurs in over 90 % of ovarian cancers and in the most aggressive endometrial cancers. The normal tumor suppressive functions of p53 are disrupted, resulting in unregulated cell growth and therapeutic resistance to standard treatments including chemotherapy and PARP inhibitors. Hence, a novel therapeutic strategy is urgently needed for p53 mutant gynecologic cancers, and we propose that converting mutant p53 to a wild type conformation and restoring its tumor suppressive functions has the potential to greatly improve treatment.
View Article and Find Full Text PDFDrug Discov Today
September 2025
Department of Pharmaceutical and Artificial-Intelligence Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Peptide & Protein Drug Research Cen
The landscape of allosteric drug discovery is undergoing a transformative shift, driven by the integration of three computational approaches: machine learning (ML), molecular dynamics (MD) simulations, and network theory. ML identifies potential allosteric sites from multidimensional biological datasets; MD simulations, empowered by enhanced sampling algorithms, reveal transient conformational states; and network analyses uncover communication pathways, further aiding in site identification. Their synergy enables rational allosteric modulator design.
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