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Hafner, A.-S.

Publications and source records attributed to Hafner, A.-S..

2 recordsLinked to original sources

Local protein synthesis in axon terminals and dendritic spines differentiates plasticity contexts

While there is ample evidence for localized mRNAs and protein synthesis in mature neuronal postsynaptic compartments, clear demonstrations of these processes in presynaptic terminals are extremely limited. Using expansion microscopy to resolve pre- and postsynaptic compartments we discovered that most presynaptic terminals contain mRNA and ribosomes. Using fluorescence-activated synaptosome sorting, we directly visualized or sequenced hundreds of mRNA species within excitatory boutons. Following brief metabolic labeling, over 30% of all presynaptic terminals exhibit a signal, providing evidence for ongoing protein synthesis. Using different classic plasticity paradigms, we discovered unique patterns of rapid pre- and/or postsynaptic translation. These data suggest that local protein synthesis in both pre- and postsynaptic elements is differentially recruited to drive the unique compartment-specific phenotypes that underlie different forms of plasticity.\n\nOne sentence summaryProtein synthesis occurs in all synaptic compartments, including excitatory and inhibitory axon terminals.

neuroscience

Competition for a limited supply of synaptic building blocks predicts multiplicative synaptic normalization and heterosynaptic plasticity

Changes in the efficacies of synapses are thought to be the neurobiological basis of learning and memory. The efficacy of a synapse depends on its current number of neurotransmitter receptors. Recent experiments have shown that these receptors are highly dynamic, moving back and forth between synapses on time scales of seconds and minutes. This suggests spontaneous fluctuations in synaptic efficacies and a competition of nearby synapses for available receptors. Here we propose a mathematical model of this competition of synapses for neurotransmitter receptors from a local dendritic pool. Using minimal assumptions, the model produces a fast multiplicative scaling behavior of synapses. Furthermore, the model explains a transient form of heterosynaptic plasticity and predicts that its amount is inversely related to the size of the local receptor pool. Overall, our model reveals logistical tradeoffs during the induction of synaptic plasticity due to the rapid exchange of neurotransmitter receptors between synapses.

neuroscience