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	<title>structural biology of GPCRs &#8211; Science</title>
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	<title>structural biology of GPCRs &#8211; Science</title>
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		<title>Agonist-Bound Crystal Structures Reveal Human CB1</title>
		<link>https://scienmag.com/agonist-bound-crystal-structures-reveal-human-cb1/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Thu, 28 Aug 2025 02:51:15 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[agonist-bound receptor conformations]]></category>
		<category><![CDATA[cannabinoid receptor activation mechanisms]]></category>
		<category><![CDATA[cannabinoid receptor pharmacology]]></category>
		<category><![CDATA[crystal structures of CB1 agonists]]></category>
		<category><![CDATA[drug design strategies for psychiatric disorders]]></category>
		<category><![CDATA[human cannabinoid receptor CB1]]></category>
		<category><![CDATA[innovative therapies for mental health]]></category>
		<category><![CDATA[molecular pharmacology advancements]]></category>
		<category><![CDATA[structural biology of GPCRs]]></category>
		<category><![CDATA[understanding pain and mood regulation]]></category>
		<category><![CDATA[X-ray crystallography techniques in receptor studies]]></category>
		<category><![CDATA[Δ9-THC and neurological conditions]]></category>
		<guid isPermaLink="false">https://scienmag.com/agonist-bound-crystal-structures-reveal-human-cb1/</guid>

					<description><![CDATA[In a groundbreaking advancement that bridges molecular pharmacology and structural biology, scientists have unveiled the detailed crystal structures of the human cannabinoid receptor CB1 bound to two distinct agonists. This achievement not only deepens our understanding of the activation mechanisms behind CB1 — the principal receptor targeted by Δ9-tetrahydrocannabinol (Δ9-THC), the main psychoactive ingredient of [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In a groundbreaking advancement that bridges molecular pharmacology and structural biology, scientists have unveiled the detailed crystal structures of the human cannabinoid receptor CB<sub>1</sub> bound to two distinct agonists. This achievement not only deepens our understanding of the activation mechanisms behind CB<sub>1</sub> — the principal receptor targeted by Δ<sup>9</sup>-tetrahydrocannabinol (Δ<sup>9</sup>-THC), the main psychoactive ingredient of marijuana — but also sets the stage for innovative drug design strategies to address a variety of neurological and psychiatric conditions.</p>
<p>Cannabinoid receptor 1 belongs to the expansive class A family of G protein-coupled receptors (GPCRs), proteins embedded in cellular membranes that translate extracellular signals into intricate intracellular responses. CB<sub>1</sub> is expressed predominantly in the brain and controls many physiological processes including pain, mood, memory, and appetite. Prior knowledge of CB<sub>1</sub> architecture was mostly limited to antagonist-bound states, which depict the receptor in its inactive form. However, this new research takes a significant leap forward by resolving high-resolution structures of CB<sub>1</sub> simultaneously bound to agonists, revealing the dynamic conformational landscape essential for receptor activation.</p>
<p>Employing advanced X-ray crystallography techniques, the researchers resolved two distinct agonist-bound complexes of human CB<sub>1</sub>. These complexes involved not just the well-characterized tetrahydrocannabinol derivative AM11542, but also a hexahydrocannabinol analog AM841, offering a nuanced view of how chemically related cannabinoids engage the receptor. Remarkably, these structures demonstrate an approximately 53% contraction in the volume of the ligand-binding pocket when compared to the receptor’s antagonist-bound form. This drastic reduction indicates a tightly regulated pocket plasticity that is essential for fine-tuning receptor responses to different ligands.</p>
<p>This insight into the ligand-binding domain emphasizes the extraordinary flexibility of CB<sub>1</sub>. Unlike many other GPCRs which show rigid pockets, CB<sub>1</sub> adapts its binding cavity to accommodate structurally diverse cannabinoid molecules. Such plasticity enhances the receptor&#8217;s capability to interact not only with endogenously produced endocannabinoids but also with varied synthetic and plant-derived cannabinoids, highlighting a versatile molecular recognition system. Understanding these adaptive structural principles opens up new paths for the rational design of selective modulators with improved specificity and reduced side effects.</p>
<p>Moreover, the agonist-bound structures reveal profound conformational rearrangements extending beyond the ligand-binding site. One of the most striking observations lies in the G protein-binding region of CB<sub>1</sub>, which exhibits a significant increase in surface area compared to the inactive receptor state. This architectural expansion presumably facilitates the recruitment and activation of intracellular G proteins, crucial players in signal transmission. These conformational changes underscore the allosteric nature of CB<sub>1</sub>, where orthosteric ligand binding instigates distant structural shifts indispensable for functional receptor signaling.</p>
<p>Central to the activation mechanism is a molecular feature dubbed the “twin toggle switch,” consisting of two highly conserved aromatic residues: phenylalanine at position 200 (Phe200<sup>3.36</sup>) and tryptophan at position 356 (Trp356<sup>6.48</sup>), using Ballesteros–Weinstein numbering. This pair acts as a molecular switch that undergoes a coordinated movement upon agonist binding, orchestrating the transition from inactive to active receptor conformations. Experimental evidence supports that this twin toggle switch is essential for CB<sub>1</sub> functionality, positioning these residues as critical nodes for manipulating receptor activity pharmacologically.</p>
<p>The elucidated structures also provide a molecular framework capable of explaining the nuanced binding modes of Δ<sup>9</sup>-THC itself, along with an array of related cannabinoids. Given the global interest in cannabinoid-based therapies — spanning pain management, neuromodulation, and psychiatric treatment — these insights hold enormous translational potential. By revealing how subtle chemical modifications in cannabinoid ligands influence receptor engagement and downstream activation, medicinal chemists can now tailor molecules to elicit desired therapeutic outcomes while minimizing unwanted psychoactive or adverse effects.</p>
<p>Intriguingly, the structural plasticity observed in CB<sub>1</sub> seems to resonate with general patterns found in certain subfamilies of class A GPCRs. This suggests that these receptors might share common mechanistic principles that govern ligand recognition and activation despite their divergent physiological roles. Hence, the newfound blueprint of CB<sub>1</sub> agonist binding could serve as a paradigm for other GPCR research, extending the implications far beyond cannabinoid pharmacology.</p>
<p>This research was conducted through an integrated multidisciplinary approach leveraging crystallography, molecular biology, and biochemistry. The intricate preparation of receptor-ligand complexes and optimization of crystallization conditions allowed the capture of receptor snapshots with agonists securely locked in place, a method notoriously challenging given the innate flexibility and instability of GPCRs. Such technical proficiency marks a significant technological achievement, setting a benchmark for the structural investigation of similarly complex membrane proteins.</p>
<p>From a therapeutic perspective, the knowledge garnered here might catalyze the development of next-generation cannabinoid receptor modulators. Such drugs could selectively activate CB<sub>1</sub> or modulate its signaling pathways to treat ailments ranging from chronic pain and epilepsy to mood disorders and neurodegenerative diseases. Furthermore, the rational design based on these structures could significantly reduce the risk of addictive or psychoactive side effects, improving patient outcomes and expanding the utility of cannabinoid-based medications.</p>
<p>In summation, the successful determination of these two agonist-bound CB<sub>1</sub> crystal structures represents a landmark in cannabinoid receptor biology. These molecular insights not only clarify the activation process but also illuminate the receptor’s remarkable structural adaptability, providing a robust template for future drug discovery and therapeutic innovation in cannabinoid science. As the field progresses, it is anticipated that this new structural knowledge will inspire a wave of chemically diverse ligands with tailored pharmacological profiles, ushering in a new era of cannabinoid-based medicine that is both efficacious and safe.</p>
<p>Subject of Research:<br />
Article Title:<br />
Article References:</p>
<p class="c-bibliographic-information__citation">Hua, T., Vemuri, K., Nikas, S.P. <i>et al.</i> Crystal structures of agonist-bound human cannabinoid receptor CB<sub>1</sub>. <i>Nature</i>  (2025). https://doi.org/10.1038/s41586-025-09454-5</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">70563</post-id>	</item>
		<item>
		<title>Phosphorylation Patterns Shape Arrestin-Chemokine Binding</title>
		<link>https://scienmag.com/phosphorylation-patterns-shape-arrestin-chemokine-binding/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Thu, 22 May 2025 08:15:45 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[arrestin binding dynamics]]></category>
		<category><![CDATA[arrestin protein functions]]></category>
		<category><![CDATA[arrestin-antigen binding fragments]]></category>
		<category><![CDATA[cellular signaling pathways]]></category>
		<category><![CDATA[chemokine receptor signaling]]></category>
		<category><![CDATA[G-protein-coupled receptor activation]]></category>
		<category><![CDATA[GRK-mediated phosphorylation]]></category>
		<category><![CDATA[intracellular signaling mechanisms]]></category>
		<category><![CDATA[ligand-induced receptor phosphorylation]]></category>
		<category><![CDATA[phosphorylation barcodes in signaling]]></category>
		<category><![CDATA[phosphorylation patterns in GPCRs]]></category>
		<category><![CDATA[structural biology of GPCRs]]></category>
		<guid isPermaLink="false">https://scienmag.com/phosphorylation-patterns-shape-arrestin-chemokine-binding/</guid>

					<description><![CDATA[In the intricate realm of cellular signaling, G-protein-coupled receptors (GPCRs) occupy a paramount position, transducing extracellular signals into diverse intracellular responses. A groundbreaking advance now sheds new light on the nuanced mechanisms dictating how GPCRs communicate with intracellular effectors, particularly the arrestin proteins that critically regulate their activity. Recent research has unraveled the structural intricacies [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the intricate realm of cellular signaling, G-protein-coupled receptors (GPCRs) occupy a paramount position, transducing extracellular signals into diverse intracellular responses. A groundbreaking advance now sheds new light on the nuanced mechanisms dictating how GPCRs communicate with intracellular effectors, particularly the arrestin proteins that critically regulate their activity. Recent research has unraveled the structural intricacies underlying how differential phosphorylation patterns—known as phosphorylation “barcodes”—imprinted on a chemokine receptor’s tail influence the binding and conformational dynamics of arrestins, offering a compelling glimpse into how cells fine-tune signaling outcomes.</p>
<p>GPCRs possess seven transmembrane helices and play central roles in physiology and pharmacology. Upon activation by ligands such as hormones or chemokines, these receptors are phosphorylated by G-protein-coupled receptor kinases (GRKs) at multiple sites within their intracellular domains. These phosphorylation events, differing based on which GRKs are involved, serve as molecular barcodes that modulate recruitment of arrestins—specialized adaptor proteins that terminate G protein signaling and initiate alternative pathways. How arrestins interpret these barcodes, however, remained shrouded in mystery until now.</p>
<p>A team of researchers developed a novel antigen-binding fragment, Fab7, specifically engineered to recognize active forms of both arrestin2 (β-arrestin1) and arrestin3 (β-arrestin2), irrespective of associated receptor peptides. This tool proved critical in isolating and stabilizing distinct arrestin complexes with an atypical chemokine receptor, ACKR3, whose C-terminal tail was phosphorylated selectively by GRK2 or GRK5. The use of Fab7 enabled unprecedented high-resolution structural studies of these complexes, revealing the profound impact that the pattern of phosphorylation exerts on arrestin engagement.</p>
<p>Their structural analyses revealed that when ACKR3 was phosphorylated by GRK2, the resulting complexes exhibited a heterogeneous ensemble of “tail-mode” assemblies. These are conformations wherein arrestins primarily interact with the phosphorylated receptor tail without substantial engagement of the receptor’s transmembrane core. In stark contrast, phosphorylation by GRK5 yielded more rigid assemblies, dubbed “ACKR3-adjacent,” in which arrestins display tighter, better-defined binding adjacent to the receptor. Such distinctions illustrate how the site-specific placement of phosphate groups orchestrated by different GRKs controls the conformational landscape of the receptor-arrestin interface.</p>
<p>Perhaps most intriguingly, the structures overturned previous expectations about arrestin engagement with the receptor. Instead of the finger loops of arrestins inserting deeply into the receptor’s intracellular pocket—a hallmark observed in many GPCR-arrestin complexes—the finger loops here preferentially associated with the micelle surface used to mimic the membrane environment. This unexpected observation suggests that membrane interactions significantly contribute to the stabilization and dynamics of arrestin complexes, highlighting a neglected aspect of GPCR regulation.</p>
<p>The two arrestin isoforms examined, arrestin2 and arrestin3, also displayed pronounced differences in their dynamics. Arrestin3 exhibited greater conformational flexibility, which the authors attributed in part to its lack of a specific membrane-anchoring motif present in arrestin2. This flexibility could underlie functional diversities between arrestin isoforms in mediating downstream signaling and receptor trafficking, emphasizing the complexity of arrestin-mediated regulation.</p>
<p>These findings provide compelling mechanistic insight into how different phosphorylation barcodes can imprint unique conformational “signatures” on GPCR-arrestin complexes, tailoring cellular responses. For ACKR3, an atypical chemokine receptor involved in ligand scavenging and immune regulation, these differences modulate both the efficiency of chemokine uptake and the stability of arrestin binding, with potential consequences for immune homeostasis and inflammation.</p>
<p>Beyond ACKR3, the broader implications of this work resonate deeply within the field of GPCR biology. Recognizing that the site and pattern of receptor phosphorylation act as molecular determinants directing arrestin engagement and signaling opens new avenues for drug design. Biased agonists or kinase modulators that selectively promote particular phosphorylation barcodes could be harnessed to fine-tune therapeutic outcomes by directing arrestin functions without affecting traditional G protein pathways.</p>
<p>The introduction of Fab7 as a versatile tool to trap active arrestins independent of receptor tail interactions could revolutionize structural studies of GPCR complexes. This methodology allows researchers to disentangle arrestin conformational states and interaction modes with exceptional clarity, accelerating understanding of arrestin versatility across a range of receptors and phosphorylation codes.</p>
<p>This study marks a significant leap in decoding how post-translational modifications on GPCRs shape receptor-arrestin interface architecture and downstream functional consequences. It reconciles prior ambiguities about arrestin engagement mechanisms by demonstrating the prominent role of membrane interactions and isoform-specific dynamics. Moreover, it highlights the subtle regulatory precision that phosphorylation barcodes confer to cellular signaling networks.</p>
<p>As the field moves forward, integrating these structural insights with live-cell functional assays will be critical to fully elucidate how phosphorylation-induced structural variations translate into distinct biological outcomes. Such knowledge may catalyze the development of next-generation therapeutics targeting myriad diseases modulated by chemokine receptors, including cancer, autoimmune disorders, and chronic inflammation.</p>
<p>In sum, this pioneering work uncovers how the interplay between receptor phosphorylation patterns and arrestin isoforms orchestrates GPCR signaling complexity. By revealing the structural basis for barcode-dependent arrestin binding, the research opens transformative perspectives on GPCR regulation and pharmacology, underscoring nature’s exquisite molecular choreography driving cellular communication.</p>
<hr />
<p><strong>Subject of Research</strong>: Interaction dynamics between phosphorylation barcodes on an atypical chemokine receptor (ACKR3) and arrestin isoforms, elucidated through structural biology.</p>
<p><strong>Article Title</strong>: Effect of phosphorylation barcodes on arrestin binding to a chemokine receptor.</p>
<p><strong>Article References</strong>:<br />
Chen, Q., Schafer, C.T., Mukherjee, S. <em>et al.</em> Effect of phosphorylation barcodes on arrestin binding to a chemokine receptor. <em>Nature</em> (2025). <a href="https://doi.org/10.1038/s41586-025-09024-9">https://doi.org/10.1038/s41586-025-09024-9</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
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