<p>At excitatory synapses, NMDAR-mediated synaptic plasticity occurs in response to activity inputs by modifying synaptic strength. While comprehensive studies have been focused on the induction and expression mechanisms underlying synaptic plasticity, it is less clear whether and how synaptic plasticity itself can be subjected to regulations. The presence of "plasticity of plasticity", or meta-plasticity, has been proposed as an essential mechanism to ensure a proper working range of plasticity, which may also offer an additional layer of information storage capacity. However, it remains elusive whether and how meta-plasticity occurs at single synapses and what molecular substrates are locally utilized. Here, I develop systems allowing for sustained alterations of individual synaptic inputs. By implementing a history of inactivity at single synapses, I demonstrate that individual synaptic inputs control synaptic molecular composition homosynaptically, while allowing heterosynaptic integration along dendrites. Furthermore, I report that subunit-specific regulation of NMDARs at single synapses mediates a novel form of input-specific metaplasticity. Prolonged suppression of synaptic releases at single synapses enhances synaptic NMDAR-mediated currents and increases the number of functional NMDARs containing NR2B. Interestingly, synaptic NMDAR composition is adjusted by spontaneous glutamate release rather than evoked activity. I also demonstrate that inactivated synapses with more NMDARs containing NR2B acquire a lower induction threshold for long-term synaptic potentiation. Together, these results suggest that at single synapses, spontaneous release primes the synapse by modifying its synaptic state with specific molecular compositions, which in turn determine the synaptic gain in an input-specific manner.</p> / Dissertation
| Identifer | oai:union.ndltd.org:DUKE/oai:dukespace.lib.duke.edu:10161/1148 |
| Date | January 2009 |
| Creators | Lee, Ming-Chia |
| Contributors | Ehlers, Michael D, West, Anne E |
| Source Sets | Duke University |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
| Format | 2972379 bytes, application/pdf |
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