Deconvolution of Voltage Sensor Time Series and Electro-diffusion Modeling Reveal the Role of Spine Geometry in Controlling Synaptic Strength.
Deconvolution of Voltage Sensor Time Series and Electro-diffusion Modeling Reveal the Role of Spine Geometry in Controlling Synaptic Strength.
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DOI：
10.1016/j.neuron.2018.01.034
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发表时间：
2018-03-07
期刊：
影响因子：
16.2
通讯作者：
Holcman D
中科院分区：
文献类型：
--
作者：
Cartailler J;Kwon T;Yuste R;Holcman D
大多数突触兴奋性连接是在树突棘上进行的。但脊椎的电压是如何被其几何形状调制的仍然不清楚。为了研究脊柱的电特性，我们将联合收割机电压成像数据与电扩散建模相结合。我们首先提出了一个时间去卷积程序的遗传编码的电压传感器表达在海马培养的神经元，然后使用电扩散理论来计算电场和电流-电压转换。我们提取出颈部电阻的范围为100 ± 35 M Ω。当在脊柱中注入显著电流时，颈部电阻可以与其半径成反比，但不与半径平方成反比，如欧姆定律所预测的。我们的结论是，突触后电压不仅可以通过改变受体的数量，但也由脊几何调制。因此，棘形态可能是决定突触转导和可塑性的关键组成部分。基于荧光记录，Cartailler等人通过去卷积恢复了树突棘中的电压动力学。他们使用电扩散模型在纳米尺度上研究了电，并得出结论，脊柱几何形状和电解质塑造了电流-电压转换和电阻。
Most synaptic excitatory connections are made on dendritic spines. But how the voltage in spines is modulated by its geometry remains unclear. To investigate the electrical properties of spines, we combine voltage imaging data with electro-diffusion modeling. We first present a temporal deconvolution procedure for the genetically encoded voltage sensor expressed in hippocampal cultured neurons and then use electro-diffusion theory to compute the electric field and the current-voltage conversion. We extract a range for the neck resistances of 〈R〉 = 100 ± 35MΩ. When a significant current is injected in a spine, the neck resistance can be inversely proportional to its radius, but not to the radius square, as predicted by Ohm’s law. We conclude that the postsynaptic voltage cannot only be modulated by changing the number of receptors, but also by the spine geometry. Thus, spine morphology could be a key component in determining synaptic transduction and plasticity. Based on fluorescence recordings, Cartailler et al. recover the voltage dynamics in dendritic spines by deconvolution. They investigate electricity at a nanometric scale using electro-diffusion modeling and concluded that spine geometry and electrolyte shape the current-voltage conversion and electrical resistance.
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影响因子：
3.7
作者：
Han Z;Jin L;Chen F;Loturco JJ;Cohen LB;Bondar A;Lazar J;Pieribone VA
通讯作者：
Pieribone VA
影响因子：
3.4
作者：
Chen, KC;Nicholson, C
通讯作者：
Nicholson, C
影响因子：
3.4
作者：
Brinks, Daan;Klein, Aaron J.;Cohen, Adam E.
通讯作者：
Cohen, Adam E.
影响因子：
3.4
作者：
Acker CD;Hoyos E;Loew LM
通讯作者：
Loew LM
DOI：
10.1126/science.aab0810
发表时间：
2015-12-11
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Gong Y;Huang C;Li JZ;Grewe BF;Zhang Y;Eismann S;Schnitzer MJ
通讯作者：
Schnitzer MJ