Evaluation of neurite outgrowth anisotropy using a novel application of circular analysis.
Evaluation of neurite outgrowth anisotropy using a novel application of circular analysis.
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DOI：
10.1016/j.jneumeth.2008.07.001
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发表时间：
2008-09-30
影响因子：
3
通讯作者：
Hoffman-Kim, Diane
中科院分区：
文献类型：
--
作者：
Li, Grace NgaYin;Hoffman-Kim, Diane
精确的轴突生长是在发育和受伤后建立正确连接所必需的。研究轴突引导和生长的一种方法是通过呈现受控微环境的体外生长测定。在这项研究中，我们采用循环统计方法来评估定向神经突的反应。在圆形尺度上的数据可视化允许更准确地表示数据，因为神经突角度固有地在圆形上表示。在这里，从背根神经节衍生的神经元上的不同基板类型的轴突生长的方向进行了定量测量。此外，还生成了具有已知圆形参数的数据集的模拟，该圆形参数反映了来自不同基底类型的预期神经突角度分布。利用循环统计方法，并与神经科学文献中广泛使用的线性统计模型进行比较。对于小样本，Rao间距检验显示，当对模拟均匀分布进行测试时，I型错误（假阳性）的发生率最小。V-检验和瑞利检验显示最高的统计功效时，对单峰分布与已知和未知的平均方向，分别进行测试。对于双峰样品，沃森U2检验显示最高的统计功效。总体而言，圆形统计均匀性检验显示出比线性非参数检验更高的统计功效，特别是对于小样本（n = 5）。圆形分析方法代表了用于评估神经突生长的方向性的有用工具，其应用包括：（1）评估神经突生长潜力;（2）确定对单个和多个线索的细胞反应的各向同性;以及（3）确定复杂环境中存在的线索的相对强度。
Precise axon growth is required for making proper connections in development and after injury. One method of studying axon guidance and growth is through in vitro outgrowth assays that present controlled microenvironments. In this study, we applied circular statistical methods to evaluate directional neurite response. Visualization of data on a circular scale allows more accurate representation of the data, as neurite angles are inherently expressed on a circle. Here, the direction of neurite outgrowth from dorsal root ganglia derived neurons on different substrate types was quantitatively measured. Further, simulations of datasets with known circular parameters reflecting expected neurite angle distributions from different substrate types were also generated. Circular statistical methods were utilized and compared to linear statistical models widely used in the neuroscience literature. For small samples, Rao’s spacing test showed the smallest occurrence of Type I errors (false positives) when tested against simulated uniform distributions. V-test and Rayleigh’s test showed highest statistical power when tested against a unimodal distribution with known and unknown mean direction, respectively. For bimodal samples, Watson’s U2 test showed the highest statistical power. Overall, circular statistical uniformity tests showed higher statistical power than linear non-parametric tests, particularly for small samples (n=5). Circular analysis methods represent a useful tool for evaluation of directionality of neurite outgrowth with applications including: (1) assessment of neurite outgrowth potential; (2) determination of isotropy of cellular responses to single and multiple cues and (3) determination of the relative strengths of cues present in a complex environment.
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影响因子：
3.8
作者：
Li, Grace N.;Liu, Jeffrey;Hoffman-Kim, Diane
通讯作者：
Hoffman-Kim, Diane
影响因子：
6.1
作者：
Frevert, Charles W.;Boggy, Gregory;Folch, Albert
通讯作者：
Folch, Albert
影响因子：
14
作者：
Goldner, JS;Bruder, JM;Hoffman-Kim, D
通讯作者：
Hoffman-Kim, D
影响因子：
3.7
作者：
Meijering, E;Jacob, M;Unser, M
通讯作者：
Unser, M
影响因子：
3.1
作者：
BERGIN, TM
通讯作者：
BERGIN, TM