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The Rates of Protein Synthesis and Degradation Account for the Differential Response of Neurons to Spaced and Massed Training Protocols

Overview of attention for article published in PLoS Computational Biology, December 2011
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Title
The Rates of Protein Synthesis and Degradation Account for the Differential Response of Neurons to Spaced and Massed Training Protocols
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002324
Pubmed ID
Authors

Faisal Naqib, Carole A. Farah, Christopher C. Pack, Wayne S. Sossin

Abstract

The sensory-motor neuron synapse of Aplysia is an excellent model system for investigating the biochemical changes underlying memory formation. In this system, training that is separated by rest periods (spaced training) leads to persistent changes in synaptic strength that depend on biochemical pathways that are different from those that occur when the training lacks rest periods (massed training). Recently, we have shown that in isolated sensory neurons, applications of serotonin, the neurotransmitter implicated in inducing these synaptic changes during memory formation, lead to desensitization of the PKC Apl II response, in a manner that depends on the method of application (spaced versus massed). Here, we develop a mathematical model of this response in order to gain insight into how neurons sense these different training protocols. The model was developed incrementally, and each component was experimentally validated, leading to two novel findings: First, the increased desensitization due to PKA-mediated heterologous desensitization is coupled to a faster recovery than the homologous desensitization that occurs in the absence of PKA activity. Second, the model suggests that increased spacing leads to greater desensitization due to the short half-life of a hypothetical protein, whose production prevents homologous desensitization. Thus, we predict that the effects of differential spacing are largely driven by the rates of production and degradation of proteins. This prediction suggests a powerful mechanism by which information about time is incorporated into neuronal processing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Canada 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Master 6 15%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Professor 2 5%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Neuroscience 12 30%
Agricultural and Biological Sciences 11 28%
Biochemistry, Genetics and Molecular Biology 2 5%
Medicine and Dentistry 2 5%
Arts and Humanities 1 3%
Other 5 13%
Unknown 7 18%