ArticleBiophysical journal2024
The impact of diffusion on receptor binding during synaptic transmission.
Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- Morphological trapping of neurotransmitters in synaptic clefts: A new dimension in neural plasticity.Biophysical journal · 2025Article
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1 author.
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Abstract
Despite the importance of speed in synaptic transmission, in many synapses, neurotransmitters bind to their receptors at rates that appear to be slower than the diffusion limit. This assessment is generally based on a comparison with the Smoluchowski limit rather than an independent experimental analysis. In many synapses, miniature excitatory postsynaptic currents (mEPSCs) are controlled by the interplay between binding to receptors and diffusion of the neurotransmitter out of the synaptic cleft. A model for mEPSCs that incorporates these features was used to evaluate published data showing that elevated viscosity increases mEPSC amplitude. With diffusion-limited binding, the model predicts that raising the viscosity will decrease the amplitude rather than increase it. Diffusion-independent binding predicts an increase that is larger than that observed. To explore the intermediate behavior between the diffusion-limited and diffusion-independent extremes, a general expression for intermolecular rates was used that depends on both collision frequency and intrinsic reactivity. This analysis yielded an estimate for collision frequency that is about an order of magnitude above the measured rate of association and an order of magnitude below the Smoluchowski limit.
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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 Socratic graph.