A model of electrophysiological heterogeneity in periglomerular cells.
A model of electrophysiological heterogeneity in periglomerular cells.
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DOI：
10.3389/fncom.2013.00049
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发表时间：
2013
影响因子：
3.2
通讯作者：
Cleland TA
中科院分区：
文献类型：
--
作者：
Sethupathy P;Rubin DB;Li G;Cleland TA
嗅球（OB）球周（PG）细胞是异质的几个功能，包括形态，连接，蛋白质表达模式，和电生理特性。然而，这些功能很少相互关联，这表明PG细胞的分化特性可能来自多个独立的适应性变量，而不是代表离散的细胞类别。我们使用计算建模来评估这一假设的电生理特性。具体而言，我们表明，在PG细胞记录中表现出的异质性电生理特性可以解释的差异，在细胞中的离子通道物种的相对表达水平，而不求助于修改通道动力学特性本身。因此，该PG细胞模型可用作OB计算的不同细胞和网络级分析的基础。此外，这种简单的异质性基础有助于一个新兴的假设，肾小球层的中间神经元可能更好地描述为一个单一的人口表达分布的部分独立的，潜在的塑性特性，而不是作为一组离散的细胞类。
Olfactory bulb (OB) periglomerular (PG) cells are heterogeneous with respect to several features, including morphology, connectivity, patterns of protein expression, and electrophysiological properties. However, these features rarely correlate with one another, suggesting that the differentiating properties of PG cells may arise from multiple independent adaptive variables rather than representing discrete cell classes. We use computational modeling to assess this hypothesis with respect to electrophysiological properties. Specifically, we show that the heterogeneous electrophysiological properties demonstrated in PG cell recordings can be explained solely by differences in the relative expression levels of ion channel species in the cell, without recourse to modifying channel kinetic properties themselves. This PG cell model can therefore be used as the basis for diverse cellular and network-level analyses of OB computations. Moreover, this simple basis for heterogeneity contributes to an emerging hypothesis that glomerular-layer interneurons may be better described as a single population expressing distributions of partially independent, potentially plastic properties, rather than as a set of discrete cell classes.
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DOI：
10.1073/pnas.0608564104
发表时间：
2007-02-06
影响因子：
11.1
作者：
Cleland, Thomas A.;Johnson, Brett A.;Linster, Christiane
通讯作者：
Linster, Christiane
影响因子：
2.9
作者：
Kosaka, K;Toida, K;Kosaka, T
通讯作者：
Kosaka, T
影响因子：
3.3
作者：
KASA, P;HLAVATI, I;WOLFF, JR
通讯作者：
WOLFF, JR
影响因子：
2.9
作者：
Kosaka, Toshio;Kosaka, Katsuko
通讯作者：
Kosaka, Katsuko
影响因子：
1.7
作者：
Cadetti, L;Belluzzi, O
通讯作者：
Belluzzi, O