Article
Modeling glutamatergic synapses: insights into mechanisms regulating synaptic efficacy.
BME Department, University of Southern California, Los Angeles, CA 90089, USA.
Journal of Integrative Neuroscience (impact factor:
0.76).
07/2008;
7(2):185-97.
Source: PubMed
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Article: Molecular model for receptor-stimulated calcium spiking.
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ABSTRACT: Many cells exhibit periodic transient increases in cytosolic calcium levels rather than a sustained rise when stimulated by a hormone or growth factor. We propose here a molecular model that accounts for periodic calcium spiking induced by a constant stimulus. Four elements give rise to repetitive calcium transients: cooperativity and positive feedback between a pair of reciprocally coupled (crosscoupled) messengers, followed by deactivation and then by reactivation. The crosscoupled messengers in our model are inositol 1,4,5-trisphosphate (InsP3) and cytosolic calcium ions. The opening of calcium channels in the endoplasmic reticulum by the binding of multiple molecules of InsP3 provides the required cooperativity. The stimulation of receptor-activated phospholipase C by released calcium ions leads to positive feedback. InsP3 is destroyed by a phosphatase, and calcium ion is pumped back into the endoplasmic reticulum. These processes generate bistability: the cytosolic calcium concentration abruptly increases from a basal level to a stimulated level at a threshold degree of activation of phospholipase C. Spiking further requires slow deactivation and subsequent reactivation. In our model, mitochondrial sequestration of calcium ion prevents the cytosolic level from increasing above several micromolar and enables the system to return to the basal state. When the endoplasmic reticulum calcium store is refilled to a critical level by the Ca2+-ATPase pump, cooperative positive feedback between the InsP3-gated channel and phospholipase C begins again to give the next calcium spike. The time required for the calcium level in the endoplasmic reticulum to reach a threshold sets the interval between spikes. The amplitude, shape, and period of calcium spikes calculated for this model are like those observed experimentally.Proceedings of the National Academy of Sciences 08/1988; 85(14):5051-5. · 9.68 Impact Factor -
Article: Not too excited? Thank your endocannabinoids.
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ABSTRACT: Endocannabinoids can mediate neuroprotection, but it is not known how. In this issue of Neuron, Monory et al. use mutant mice and localized viral targeting to produce conditional knockouts of the cannabinoid CB1 receptor. They show that protection against kainic acid-induced seizures and cell death is conferred by CB1Rs on hippocampal glutamatergic nerve terminals.Neuron 09/2006; 51(4):393-5. · 14.74 Impact Factor -
Article: A dynamic model of the type-2 inositol trisphosphate receptor.
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ABSTRACT: The dynamic properties of the inositol (1,4,5)-trisphosphate (IP(3)) receptor are crucial for the control of intracellular Ca(2+), including the generation of Ca(2+) oscillations and waves. However, many models of this receptor do not agree with recent experimental data on the dynamic responses of the receptor. We construct a model of the IP(3) receptor and fit the model to dynamic and steady-state experimental data from type-2 IP(3) receptors. Our results indicate that, (i) Ca(2+) binds to the receptor using saturating, not mass-action, kinetics; (ii) Ca(2+) decreases the rate of IP(3) binding while simultaneously increasing the steady-state sensitivity of the receptor to IP(3); (iii) the rate of Ca(2+)-induced receptor activation increases with Ca(2+) and is faster than Ca(2+)-induced receptor inactivation; and (iv) IP(3) receptors are sequentially activated and inactivated by Ca(2+) even when IP(3) is bound. Our results emphasize that measurement of steady-state properties alone is insufficient to characterize the functional properties of the receptor.Proceedings of the National Academy of Sciences 03/2002; 99(4):2398-403. · 9.68 Impact Factor
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Keywords
hippocampal formation
hippocampal function
level models
long-term potentiation
LTP
mathematical modeling
molecular information
molecular processes
molecular/cellular mechanism
new technological tools
NMDA receptor-mediated responses
realistic biological networks
various features
various forms