Literature DB >> 15673676

Inositol 1,4,5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje cells.

Tomokazu Doi1, Shinya Kuroda, Takayuki Michikawa, Mitsuo Kawato.   

Abstract

Large Ca2+ signals essential for cerebellar long-term depression (LTD) at parallel fiber (PF)-Purkinje cell synapses are known to be induced when PF activation precedes climbing fiber (CF) activation by 50-200 ms, consistent with cerebellar learning theories. However, large Ca2+ signals and/or LTD can also be induced by massive PF stimulation alone or by photolysis of caged Ca2+ or inositol 1,4,5-trisphosphate (IP3). To understand the spike-timing detection mechanisms in cerebellar LTD, we developed a kinetic model of Ca2+ dynamics within a Purkinje dendritic spine. In our kinetic simulation, IP3 was first produced via the metabotropic pathway of PF inputs, and the Ca2+ influx in response to the CF input triggered regenerative Ca2+-induced Ca2+ release from the internal stores via the IP3 receptors activated by the increased IP3. The delay in IP3 increase caused by the PF metabotropic pathway generated the optimal PF-CF interval. The Ca2+ dynamics revealed a threshold for large Ca2+ release that decreased as IP3 increased, and it coherently explained the different forms of LTD. At 2.5 microM IP3, CF activation after PF activation was essential to reach the threshold for the regenerative Ca2+ release. At 10 microM IP3, the same as achieved experimentally by strong IP3 photolysis, the threshold was lower, and thus large Ca2+ release was generated even without CF stimulation. In contrast, the basal 0.1 microM IP3 level resulted in an extremely high Ca2+ threshold for regenerative Ca2+ release. Thus, the results demonstrated that Ca2+ dynamics can detect spike timing under physiological conditions, which supports cerebellar learning theories.

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Year:  2005        PMID: 15673676      PMCID: PMC6725626          DOI: 10.1523/JNEUROSCI.2727-04.2005

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  56 in total

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