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Mathematical modelling of non-stationary fluctuation analysis for studying channel properties of synaptic AMPA receptors

机译:用于研究突触AMPA受体通道特性的非平稳波动分析的数学模型

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摘要

class="enumerated" style="list-style-type:decimal">The molecular properties of synaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionate (AMPA) receptors are an important factor determining excitatory synaptic transmission in the brain. Changes in the number (N) or single-channel conductance (γ) of functional AMPA receptors may underlie synaptic plasticity, such as long-term potentiation (LTP) and long-term depression (LTD). These parameters have been estimated using non-stationary fluctuation analysis (NSFA).The validity of NSFA for studying the channel properties of synaptic AMPA receptors was assessed using a cable model with dendritic spines and a microscopic kinetic description of AMPA receptors. Electrotonic, geometric and kinetic parameters were altered in order to determine their effects on estimates of the underlying γ.Estimates of γ were very sensitive to the access resistance of the recording (RA) and the mean open time of AMPA channels. Estimates of γ were less sensitive to the distance between the electrode and the synaptic site, the electrotonic properties of dendritic structures, recording electrode capacitance and background noise. Estimates of γ were insensitive to changes in spine morphology, synaptic glutamate concentration and the peak open probability (Po) of AMPA receptors.The results obtained using the model agree with biological data, obtained from 91 dendritic recordings from rat CA1 pyramidal cells. A correlation analysis showed that RA resulted in a slowing of the decay time constant of excitatory postsynaptic currents (EPSCs) by approximately 150 %, from an estimated value of 3.1 ms. RA also greatly attenuated the absolute estimate of γ by approximately 50-70 %.When other parameters remain constant, the model demonstrates that NSFA of dendritic recordings can readily discriminate between changes in γvs. changes in N or Po. Neither background noise nor asynchronous activation of multiple synapses prevented reliable discrimination between changes in γ and changes in either N or Po.The model (available online) can be used to predict how changes in the different properties of AMPA receptors may influence synaptic transmission and plasticity.
机译:class =“ enumerated” style =“ list-style-type:decimal”> <!-list-behavior =枚举前缀-word = mark-type = decimal max-label-size = 0-> 突触α-氨基-3-羟基-5-甲基-4-异恶唑丙酸酯(AMPA)受体的分子特性是决定大脑中兴奋性突触传递的重要因素。功能性AMPA受体的数量(N)或单通道电导(γ)的变化可能是突触可塑性的基础,例如长期增强(LTP)和长期抑郁(LTD)。这些参数已使用非平稳波动分析(NSFA)进行了估算。 使用带有树突棘的电缆模型和对SNP的微观动力学描述,评估了NSFA在研究突触AMPA受体通道特性方面的有效性。 AMPA受体。改变了电学,几何和动力学参数,以确定它们对基础γ估计值的影响。 γ的估计值对记录(RA)的访问电阻和平均打开时间非常敏感。 AMPA频道。 γ的估计值对电极与突触位点之间的距离,树突结构的电渗性质,记录电极电容和背景噪声的敏感性较低。 γ的估计值对脊椎形态,突触谷氨酸浓度和AMPA受体的最大开放概率(Po)均不敏感。 该模型获得的结果与生物学数据吻合,该数据来自91份树突状记录大鼠CA1锥体细胞。相关分析表明,RA导致兴奋性突触后电流(EPSC)的衰减时间常数从3.1 ms的估计值减慢了约150%。 RA还使γ的绝对估计值大大降低了约50-70%。 当其他参数保持恒定时,该模型表明树突状记录的NSFA可以轻松地区分γvs的变化。 N或Po的变化。背景噪声或多个突触的异步激活都不能阻止对γ变化与N或Po变化之间的可靠区分。 该模型(在线提供)可用于预测AMPA不同特性的变化受体可能影响突触传递和可塑性。

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