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Graeme Milligan

Researcher at University of Glasgow

Publications -  570
Citations -  32250

Graeme Milligan is an academic researcher from University of Glasgow. The author has contributed to research in topics: Receptor & G protein. The author has an hindex of 88, co-authored 556 publications receiving 30032 citations. Previous affiliations of Graeme Milligan include University of Leicester & Autonomous University of Barcelona.

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Development and Characterization of a Fluorescent Tracer for the Free Fatty Acid Receptor 2 (FFA2/GPR43)

TL;DR: 4 (TUG-1609), a fluorescent tracer for FFA2 with favorable spectroscopic properties and high affinity, as determined by bioluminescence resonance energy transfer (BRET)-based saturation and kinetic binding experiments, as well as a high specific to nonspecific BRET binding signal.
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Concurrent up-regulation of guanine-nucleotide-binding proteins Gi1α, Gi2α and Gi3α in adipocytes of hypothyroid rats

TL;DR: It is demonstrated that up-regulation of Gi in adipocytes of hypothyroid rats is not restricted to a single subtype of Gi but that each of Gi1 alpha, Gi2 alpha and Gi3 alpha is present at markedly higher levels compared with euthyroid animals.
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Strategies to identify ligands for orphan G-protein-coupled receptors.

TL;DR: A range of currently employed and developing strategies to identify ligands that interact with these orphan receptors and to validate them as drug targets are described and discussed.
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Immunoprecipitation of opioid receptor-Go-protein complexes using specific GTP-binding-protein antisera

TL;DR: It is demonstrated that CHAPS-solubilized mu and delta opioid receptors from rat cortical membranes form stable complexes with one or more variants of G(o)alpha.
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A Molecular Mechanism for Sequential Activation of a G Protein-Coupled Receptor

TL;DR: This work identifies 4-CMTB (2-(4-chlorophenyl)-3-methyl-N-(thiazol-2-yl)butanamide), previously classified as a pure allosteric agonist of the free fatty acid receptor 2, as the first sequential activator and corroborate its two-step activation in living cells by tracking integrated responses with innovative label-free biosensors that visualize multiple signaling inputs in real time.