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	<title>molecular basis of learning and memory &#8211; Science</title>
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	<title>molecular basis of learning and memory &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Cryo-EM Captures Hidden Pre-Active State That Switches On the Brain&#8217;s Fastest Receptors</title>
		<link>https://scienmag.com/cryo-em-captures-hidden-pre-active-state-that-switches-on-the-brains-fastest-receptors/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 12:58:08 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[AMPA receptor structural dynamics]]></category>
		<category><![CDATA[AMPA receptors]]></category>
		<category><![CDATA[cryo-electron microscopy]]></category>
		<category><![CDATA[Cryo-EM imaging of receptor states]]></category>
		<category><![CDATA[Excitatory neurotransmission]]></category>
		<category><![CDATA[Fast synaptic transmission mechanisms]]></category>
		<category><![CDATA[full agonists]]></category>
		<category><![CDATA[gating]]></category>
		<category><![CDATA[gating pathway]]></category>
		<category><![CDATA[Glutamate-induced channel opening]]></category>
		<category><![CDATA[ion channels]]></category>
		<category><![CDATA[ligand-binding domain]]></category>
		<category><![CDATA[molecular basis of learning and memory]]></category>
		<category><![CDATA[Near-atomic resolution of receptor states]]></category>
		<category><![CDATA[Neuroscience]]></category>
		<category><![CDATA[partial agonists]]></category>
		<category><![CDATA[Partial versus full agonist effects]]></category>
		<category><![CDATA[Pre-activation]]></category>
		<category><![CDATA[pre-active state]]></category>
		<category><![CDATA[Pre-active state of ion channels]]></category>
		<category><![CDATA[Receptor gating pathway]]></category>
		<category><![CDATA[Synaptic receptor conformational changes]]></category>
		<category><![CDATA[synaptic transmission]]></category>
		<category><![CDATA[time-resolved cryo-electron microscopy]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=194583</guid>

					<description><![CDATA[Time-resolved cryo-electron microscopy with full and partial agonists has revealed the elusive pre-active state and complete gating pathway of AMPA receptors.]]></description>
										<content:encoded><![CDATA[<p>For decades, neuroscientists have marveled at the sheer speed of communication in the brain, and much of that speed depends on a single family of proteins known as AMPA receptors. These receptors sit at the vast majority of excitatory synapses, opening their ion channels within microseconds of glutamate release to depolarize neurons and drive learning, memory, and perception. Yet despite their central importance, a precise, step-by-step structural account of how glutamate binding is converted into channel opening has remained incomplete. A crucial missing piece has been the so-called pre-active state, an intermediate configuration that the receptor occupies briefly on its journey from the resting, closed state to the fully open, conductive state. A new study has now resolved that intermediate state directly, using full and partial agonists together with time-resolved cryo-electron microscopy to map the complete gating pathway of AMPA receptors at near-atomic resolution.</p>
<p>The research, led by Newton and colleagues and published in Nature Structural &amp; Molecular Biology, takes advantage of a long-standing puzzle in receptor biophysics. Full agonists such as glutamate drive AMPA receptors to high open probabilities, whereas partial agonists, including the willardiine derivatives that bind in the same ligand-binding pocket but occupy it incompletely, produce smaller responses. Electrophysiologists have known for years that partial agonists generate smaller currents largely because they destabilize the open state rather than slow channel opening itself, but the structural intermediates through which agonist efficacy is transduced into pore opening were poorly defined. The new work closes this gap by trapping the receptor in these intermediates and imaging them directly, revealing that the pre-active state is not a vague abstraction but a discrete, resolvable structural ensemble with its own characteristic domain arrangement.</p>
<p>To visualize the pathway, the team employed time-resolved cryo-electron microscopy, a technique that flash-freezes protein samples at defined intervals after agonist application, effectively capturing molecular movies of the receptor as it transitions between states. By applying full and partial agonists and freezing the samples at early time points, the researchers were able to arrest the receptor population at different stages along the activation trajectory. Classification and reconstruction of the resulting particle images then separated the heterogeneous mixtures into distinct conformational classes corresponding to the resting, pre-active, and open states. This strategy allowed the authors to assemble an ordered sequence of structures that collectively describe the gating cycle, something that conventional single-state cryo-EM snapshots had been unable to deliver because the intermediate states are transient and sparsely populated at equilibrium.</p>
<p>The resulting structures reveal that AMPA receptor activation is a highly coordinated, multi-step process. In the resting state, the extracellular ligand-binding domains, which form a dimer-of-dimers architecture in the tetrameric receptor, adopt an extended configuration, and the transmembrane channel-lining helices are held shut. Upon agonist binding, each ligand-binding domain clamshell closes around its ligand, but the structures show that clamshell closure alone is not sufficient to open the pore. Instead, the receptor passes through the pre-active state, in which the ligand-binding domains have begun to rearrange and the interfaces between subunits have weakened in a specific, asymmetric pattern, while the transmembrane gate remains closed. This intermediate represents the structural link between ligand binding and gate opening, and its resolution provides the first complete structural description of how binding energy is accumulated before the pore expands.</p>
<p>One of the most striking findings of the study concerns the role of symmetry and subunit cooperativity. AMPA receptors are tetramers assembled from four subunits, and the new structures demonstrate that the four ligand-binding domains do not move in lockstep. Instead, activation proceeds through partially occupied and asymmetric configurations in which different subsets of subunits contribute to the driving force for opening at different stages. Full agonists stabilize configurations in which all four ligand-binding domains have closed and the intersubunit interfaces have rearranged sufficiently to pull the M3 gate helices apart. Partial agonists, by contrast, fail to stabilize the same set of interactions, leaving the receptor more frequently stranded in or near the pre-active state rather than progressing to the open state. This observation provides a direct structural explanation for the classical electrophysiological finding that partial agonists reduce open probability without substantially slowing activation kinetics.</p>
<p>The study also clarifies how the energy of ligand binding is transmitted across the membrane. The structures trace a continuous mechanical pathway from the ligand-binding core, through the linker peptides that connect the ligand-binding domains to the transmembrane region, and into the M3 segments that form the activation gate. In the pre-active state, this pathway is under tension: the ligand-binding cores have moved, but the gate has not yet followed. The authors&#8217; analysis shows that the transition from the pre-active state to the open state involves a concerted rearrangement of the linkers and an expansion of the gate, which widens the ion-conducting pore to a diameter compatible with rapid cation flow. The completeness of this structural trajectory, from free receptor to agonist-bound pre-active state to open channel, means that researchers can now assign specific conformational changes to specific steps in the energy landscape of gating.</p>
<p>These findings have broad implications for understanding both normal synaptic transmission and neurological disease. AMPA receptor dysfunction has been implicated in epilepsy, amyotrophic lateral sclerosis, Alzheimer&#8217;s disease, and a range of psychiatric conditions, and the receptors are major drug targets. Positive allosteric modulators of AMPA receptors, known as ampakines, act by stabilizing specific states along the gating pathway, and allosteric toxins and endogenous modulators likewise exert their effects by shifting the energetic balance between closed, pre-active, and open configurations. With the pre-active state now structurally defined, drug developers have a new and strategically important conformational target: molecules that stabilize or destabilize this intermediate could fine-tune synaptic strength with an unprecedented degree of control, potentially treating hyperexcitability or cognitive impairment by adjusting how easily receptors cross the final activation barrier.</p>
<p>The work also serves as a methodological demonstration of what time-resolved cryo-electron microscopy can achieve for ion channel biology. AMPA receptors, like many ligand-gated channels, are dynamic machines whose most interesting states are the least stable ones. By combining rapid mixing and freezing with sophisticated image classification, the study shows that even sparsely populated, millisecond-scale intermediates can be captured and resolved. The approach, the authors note, should be readily transferable to other members of the ionotropic glutamate receptor family, including NMDA and kainate receptors, as well as to related tetrameric channels, promising a more complete mechanistic picture of excitatory signaling throughout the nervous system. It also complements electrophysiology and molecular dynamics simulations by anchoring computational models to experimentally determined intermediate structures.</p>
<p>In synthesizing full and partial agonist data across multiple time points, the study delivers what receptor biophysicists have sought since AMPA receptors were first cloned: a structurally grounded, stepwise model of activation that connects ligand chemistry to pore conductance. The pre-active state, once an enigmatic placeholder in kinetic schemes, is now a defined three-dimensional entity with measurable intersubunit interfaces, linker tensions, and gate geometry. As researchers begin to exploit this intermediate in drug discovery and mutagenesis studies, the complete gating pathway of AMPA receptors will likely serve as a paradigm for how molecular machines convert chemical signals into electrical events, a conversion that underlies every thought, sensation, and movement the brain produces.</p>
<p><strong>Subject of Research:</strong> Structural mechanism of AMPA receptor gating and pre-activation revealed by time-resolved cryo-electron microscopy</p>
<p><strong>Article Title:</strong> Pre-activation and gating pathway of AMPA receptors revealed by full and partial agonists</p>
<p><strong>Article References:</strong> Newton, T. P., Aktolun, M., Yelshanskaya, M. V., Alekseev, A. A., Yen, L. Y., Gangwar, S. P., Sobolevsky, I. A., Kurnikova, M. G., &amp; Sobolevsky, A. I. (2026). Pre-activation and gating pathway of AMPA receptors revealed by full and partial agonists. <em>Nature Structural &amp;amp; Molecular Biology</em>. <a href="https://doi.org/10.1038/s41594-026-01882-9" rel="noopener noreferrer">https://doi.org/10.1038/s41594-026-01882-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41594-026-01882-9" rel="noopener noreferrer">10.1038/s41594-026-01882-9</a></p>
<p><strong>Keywords:</strong> AMPA receptors, pre-active state, gating pathway, cryo-electron microscopy, full agonists, partial agonists, ligand-binding domain, ion channels, synaptic transmission, neuroscience, Pre-activation, gating</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">194583</post-id>	</item>
		<item>
		<title>Human-Specific Genes, Shared Processes in Adult Neurogenesis</title>
		<link>https://scienmag.com/human-specific-genes-shared-processes-in-adult-neurogenesis/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Mon, 11 Aug 2025 16:14:29 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[adult brain plasticity]]></category>
		<category><![CDATA[adult neurogenesis]]></category>
		<category><![CDATA[advanced RNA sequencing techniques]]></category>
		<category><![CDATA[comparative transcriptomic analysis]]></category>
		<category><![CDATA[evolutionary neuroscience research]]></category>
		<category><![CDATA[hippocampus neuron development]]></category>
		<category><![CDATA[human-specific gene expression]]></category>
		<category><![CDATA[immature dentate granule cells]]></category>
		<category><![CDATA[machine learning in neuroscience]]></category>
		<category><![CDATA[molecular basis of learning and memory]]></category>
		<category><![CDATA[neurogenesis across mammals]]></category>
		<category><![CDATA[species-specific neuronal characteristics]]></category>
		<guid isPermaLink="false">https://scienmag.com/human-specific-genes-shared-processes-in-adult-neurogenesis/</guid>

					<description><![CDATA[In the intricate landscape of adult brain plasticity, the hippocampus—a critical hub for learning and memory—is known to harbor a population of newly born neurons derived from adult neurogenesis. Among these, immature dentate granule cells (imGCs) stand out as crucial players owing to their enhanced plasticity and unique electrophysiological properties. However, despite years of research, [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the intricate landscape of adult brain plasticity, the hippocampus—a critical hub for learning and memory—is known to harbor a population of newly born neurons derived from adult neurogenesis. Among these, immature dentate granule cells (imGCs) stand out as crucial players owing to their enhanced plasticity and unique electrophysiological properties. However, despite years of research, the evolutionary nuances and species-specific characteristics of these immature neurons remain enigmatic, particularly regarding human brain function. In a groundbreaking study published in <em>Nature Neuroscience</em>, investigators employed machine-learning-augmented single-nucleus RNA sequencing to unravel the transcriptomic identities of imGCs across multiple mammalian species, revealing fascinating human-specific gene expression patterns alongside conserved biological processes.</p>
<p>The genesis and maturation of dentate granule cells in the adult hippocampus has been a subject of intense scrutiny because these neurons contribute disproportionately to the brain’s adaptability. Yet, understanding how these imGCs differ across species—from commonly studied rodents to primates—has proven challenging due to technical and biological complexity. By leveraging robust computational approaches alongside cutting-edge transcriptomic profiling, Zhou et al. brought forth a comparative framework encompassing humans, macaques, pigs, and mice, thereby providing an unprecedented molecular panorama of adult neurogenesis evolution.</p>
<p>Central to this investigation was the application of machine-learning tools that could detect transcriptome-wide signatures indicative of neuronal immaturity within single-nucleus RNA sequencing datasets previously generated from hippocampal tissue. This approach enabled the researchers to pinpoint populations of macaque imGCs exhibiting hallmark immature neuronal gene expression traits. Crucially, this validation established a foundation for meaningful cross-species comparisons, ensuring that the molecular identities delineated in nonhuman primates were robust and biologically relevant.</p>
<p>The researchers unveiled a striking observation: while there exists a suite of shared genes expressed in imGCs across species, these commonalities are few. One such gene, <em>DPYSL5</em>, was consistently enriched among immature neurons from all studied animals, suggesting a conserved role in neurodevelopmental processes. However, the bulk of gene expression profiles were largely species-specific, underscoring the evolutionary divergence in molecular programs shaping adult hippocampal neurogenesis.</p>
<p>Despite this divergence at the gene level, the most compelling discovery pertained to the convergence upon shared biological pathways. Although the particular genes involved varied, imGCs across species orchestrated similar functional modules related to neuronal development, cellular morphogenesis, and synaptic plasticity. This convergence hints at evolutionary pressures preserving fundamental neurogenic functions while permitting substantial genomic flexibility in their execution among mammals.</p>
<p>One of the most captivating facets of Zhou and colleagues’ work resides in the identification of uniquely human transcriptomic features within imGCs. These human-specific gene expression signatures illuminate potential molecular substrates that might underpin the heightened cognitive capabilities attributed to our species. Prominently, the study highlighted an enriched expression of a family of proton-transporting vacuolar-type ATPase (V-ATPase) subunits in human imGCs, a finding with profound implications for understanding intracellular pH regulation, vesicular trafficking, and synaptic remodeling during neuronal maturation.</p>
<p>To probe the functional significance of these human-enriched V-ATPase components, the team turned to in vitro models of neurogenesis derived from human pluripotent stem cells. Manipulations of these ATPase subunits demonstrated critical roles in regulating developmental trajectories of developing dentate granule cells, linking gene expression differences to tangible cellular phenotypes. This experimental validation bridged molecular observations and physiological relevance, underscoring that human imGC-specific gene activity is not merely an epiphenomenon but rather a driver of unique neurodevelopmental processes.</p>
<p>Another dimension of relevance stems from the potential translational value of these findings. Given that hippocampal neurogenesis is implicated in neurodegenerative disorders, mood regulation, and cognitive decline, recognizing species-specific markers and mechanisms identifies targets for human-centric therapeutic strategies. The divergence from rodent models accentuates the necessity of integrating primate and human data when designing interventions aiming to harness or modulate adult neurogenesis for brain repair.</p>
<p>Beyond implications for disease, this research challenges the assumption that knowledge gleaned from murine models straightforwardly translates to the human condition. The mosaic of gene expression differences in imGCs demonstrates how evolutionary adaptations potentially fine-tune hippocampal function to meet species-specific ecological and cognitive demands. Such insights call for nuanced perspectives on brain evolution, emphasizing both conserved principles and innovation at the molecular scale.</p>
<p>Technologically, this study exemplifies the power of integrating machine learning with genomics to decipher complex cellular states across diverse organisms. Machine-learning algorithms enabled the parsing of high-dimensional, noisy single-nucleus transcriptomic data to highlight subtle yet biologically meaningful patterns of immaturity within neuronal populations. This approach can be extended to dissect other brain regions and developmental stages, enhancing the resolution of comparative neurobiology.</p>
<p>Furthermore, the study’s multi-species approach spanning rodents, pigs, monkeys, and humans provides an evolutionary gradient to interpret neurogenic features. Pigs, often overlooked in neuroscience despite their anatomical similarities to humans, serve as an intermediate model that offers insights complementary to those from traditional laboratory species. Monkeys, evolutionary closer to humans, reveal the transitional molecular landscape bridging commonly studied rodents and our own species.</p>
<p>The authors underscore that the process of adult neurogenesis, while preserved as a biological phenomenon across mammals, manifests through a tapestry of gene networks uniquely tailored within each species. This plasticity in molecular identity may reflect adaptive strategies molding cognitive and behavioral repertoires appropriate to each organism’s niche and life history. Such principles advocate for directing research efforts toward species-specific analyses rather than solely generalized models.</p>
<p>Intriguingly, this research invites new questions: What drives the human-specific expression of V-ATPase subunits in hippocampal progenitors? Are these transcriptomic differences reflective of distinct electrophysiological properties or synaptic integration patterns in human imGCs? How do these molecular divergences influence learning, memory, or susceptibility to neurological diseases? Future studies armed with functional assays and in vivo validation in humanized models will be crucial in addressing these queries.</p>
<p>Another perspective worth considering is how environmental factors—like stress, exercise, and cognitive engagement—might differentially modulate these species-specific neurogenic programs. Understanding the interplay between genetics and environment in shaping adult neurogenesis could pave the way for personalized approaches to cognitive enhancement and brain health maintenance.</p>
<p>Overall, the study by Zhou et al. represents a significant leap forward in adult neurogenesis research, bridging a gap between molecular identity, evolutionary biology, and functional neuroscience. By charting the transcriptomic landscapes of imGCs across species, it elevates our understanding of how the human brain’s regenerative capabilities are unique yet grounded in conserved developmental logics. These insights will undoubtedly fuel further exploration into the molecular machinery of brain plasticity and its implications for human cognition and disease.</p>
<p>As neuroscience continues to harness the power of single-cell and single-nucleus technologies, coupled with sophisticated computational tools, the promise of deciphering the cellular constituents of complex brain functions and disorders becomes more achievable. This cross-species transcriptomic odyssey not only enriches our fundamental knowledge but also guides the quest to translate neurogenic discoveries into clinical realities targeted specifically at the human brain.</p>
<p>The convergence on neurodevelopmental processes amid divergent gene signatures in imGCs invites a reevaluation of how we conceptualize biological conservation. Rather than strict gene-by-gene uniformity, evolutionary conservation might be better appreciated at the level of pathways and functions. Such a paradigm shift could transform comparative neuroscience and its approaches to modeling human cognition and neuropsychiatric conditions.</p>
<p>In conclusion, this integrative study demystifies the molecular features distinguishing immature dentate granule neurons across species, with a spotlight on human-specific genetic programs that perhaps underlie our cognitive distinctiveness. Through a combination of computational ingenuity, transcriptomic fidelity, and functional exploration, Zhou and colleagues set a new standard in elucidating adult hippocampal neurogenesis and its evolutionary trajectories.</p>
<hr />
<p><strong>Subject of Research</strong>: Cross-species transcriptomic analysis of immature dentate granule cells in adult hippocampal neurogenesis, focusing on human-specific gene expression patterns.</p>
<p><strong>Article Title</strong>: Cross-species analysis of adult hippocampal neurogenesis reveals human-specific gene expression but convergent biological processes.</p>
<p><strong>Article References</strong>:<br />
Zhou, Y., Su, Y., Yang, Q. <em>et al.</em> Cross-species analysis of adult hippocampal neurogenesis reveals human-specific gene expression but convergent biological processes. <em>Nat Neurosci</em> (2025). <a href="https://doi.org/10.1038/s41593-025-02027-9">https://doi.org/10.1038/s41593-025-02027-9</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
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