Sampling issues in quantitative analysis of dendritic spines morphology.

Sampling issues in quantitative analysis of dendritic spines morphology.
复制标题

DOI:
10.1186/1471-2105-13-213
复制
发表时间:
2012-08-25
期刊:
影响因子:
3
通讯作者:
Wlodarczyk J
Wlodarczyk J
中科院分区:
生物学4区
文献类型:
--
作者:
Ruszczycki B;Szepesi Z;Wilczynski GM;Bijata M;Kalita K;Kaczmarek L;Wlodarczyk J

文献摘要

参考文献

被引文献

相似文献

树突棘形态变化的定量分析已成为当代神经科学的一个有趣的问题。然而,树突棘种群的多样性可能会严重影响其形态学研究的测量结果。对照组和试验组之间棘形态学差异的检测通常受到用于分析的树突棘数量的影响。为了估计树突棘多样性的影响,我们进行了Monte Carlo模拟,检查各种实验设置和统计方法。共聚焦图像的树突棘从海马分离的文化已被用来创建一组变量作为模拟资源。本文中给出的模拟结果列表提供了检测对照组和试验组之间在棘头宽度、长度和面积方面的隐藏形态差异所需的树突棘数量。事实证明,这是这三个变量中最容易检测到变化的头宽。发生在一个亚群的脊椎变化的模拟揭示了很强的依赖性的可检测性的统计方法。基于亚类中棘百分比比较的分析不如描述棘形态的相关变量的直接比较敏感。我们评估了采样方面和系统的形态变异检测脊柱形态差异的影响。这里提供的结果可以作为一个指导方针,在选择样品的数量进行研究,在一个计划的实验。我们的模拟可能是一个标准化的树突棘形态的定量比较方法的发展,其中考虑了不同来源的错误。
Quantitative analysis of changes in dendritic spine morphology has become an interesting issue in contemporary neuroscience. However, the diversity in dendritic spine population might seriously influence the result of measurements in which their morphology is studied. The detection of differences in spine morphology between control and test group is often compromised by the number of dendritic spines taken for analysis. In order to estimate the impact of dendritic spine diversity we performed Monte Carlo simulations examining various experimental setups and statistical approaches. The confocal images of dendritic spines from hippocampal dissociated cultures have been used to create a set of variables exploited as the simulation resources. The tabulated results of simulations given in this article, provide the number of dendritic spines required for the detection of hidden morphological differences between control and test groups in terms of spine head-width, length and area. It turns out that this is the head-width among these three variables, where the changes are most easily detected. Simulation of changes occurring in a subpopulation of spines reveal the strong dependence of detectability on the statistical approach applied. The analysis based on comparison of percentage of spines in subclasses is less sensitive than the direct comparison of relevant variables describing spines morphology. We evaluated the sampling aspect and effect of systematic morphological variation on detecting the differences in spine morphology. The results provided here may serve as a guideline in selecting the number of samples to be studied in a planned experiment. Our simulations might be a step towards the development of a standardized method of quantitative comparison of dendritic spines morphology, in which different sources of errors are considered.
DOI: 10.1214/09-ss051
发表时间: 2010
期刊: Statistics surveys
影响因子: 3.3
作者:
Fay MP;Proschan MA
通讯作者: Proschan MA
DOI: 10.1023/a:1024134312173
发表时间: 2002-03-01
期刊: JOURNAL OF NEUROCYTOLOGY
影响因子: --
作者:
Benavides-Piccione, R;Ballesteros-Yáñez, I;Yuste, R
通讯作者: Yuste, R
DOI: 10.1016/j.neuron.2005.01.003
发表时间: 2005-01-20
期刊: NEURON
影响因子: 16.2
作者:
Holtmaat, AJGD;Trachtenberg, JT;Svoboda, K
通讯作者: Svoboda, K
DOI: 10.1523/jneurosci.3032-07.2008
发表时间: 2008-02-13
影响因子: 5.3
作者:
Hung, Albert Y.;Futai, Kensuke;Sheng, Morgan
通讯作者: Sheng, Morgan
DOI: 10.1523/jneurosci.21-16-06115.2001
发表时间: 2001-08-15
影响因子: 5.3
作者:
Korkotian, E;Segal, M
通讯作者: Segal, M