ReviewNature reviews. Neuroscience2026
The AMPA receptor life cycle: assembly, regulation and synaptic diversity.
Review in Nature reviews. Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
AMPA receptors (AMPARs) mediate the majority of fast excitatory neurotransmission in the mammalian brain. Recent structural, functional and proteomic advances have reshaped our understanding of how these receptors assemble, gate and diversify within distinct synaptic environments. Notably, AMPAR function is governed by an interlocking set of regulatory layers that include alternative splicing and RNA editing within regions of the receptor subunits responsible for gating and permeation, and direct allosteric coupling with different families of auxiliary proteins. The assembly of AMPARs through a dedicated endoplasmic reticulum biogenesis pathway ensures accurate tetramer formation and provides a regulatory checkpoint for synaptic receptor abundance. Brain development introduces additional layers of control as editing, splicing and auxiliary-subunit expression shift from embryonic to adult states, whereas interactions with extracellular proteins contribute to the organization and diversification of synaptic architecture across circuits. Thus, AMPARs are dynamic macromolecular assemblies whose diversity underlies the breadth of glutamatergic signalling in health and disease. This Review synthesizes these emerging principles, highlighting how AMPARs transition from their molecular 'birth' to their deployment at functionally specialized synapses.
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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.