Signal analysis of behavioral and molecular cycles.
Signal analysis of behavioral and molecular cycles.
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DOI：
10.1186/1471-2202-3-1
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发表时间：
2002
期刊：
影响因子：
2.4
通讯作者：
Hall JC
中科院分区：
文献类型：
--
作者：
Levine JD;Funes P;Dowse HB;Hall JC
昼夜节律钟是调节多种生物体的分子、生理和行为节律的生物振荡器。虽然行为节律通常会在多个周期内进行监测，但直到最近才可能采用类似的分子节律方法。使用转基因报告基因进行实时分析的出现现在也允许观察多个周期的分子节律。这一进展表明，有关分子节律和行为节律之间关系的新细节可能会被揭示。即便如此，人们仍然使用不同的方法来分析行为节律和分子节律，这使得这种比较很难实现。为了解决这一缺点，我们开发了一套集成分析工具来统一跨模式的生物节律分析。我们展示了数字信号分析的适应性，可以对我们的果蝇研究中的行为和分子数据进行类似的处理。对于这两种类型的数据，我们应用数字过滤器来提取和澄清感兴趣的细节；我们采用自相关和谱分析的方法来评估节律性并估计周期；我们使用互相关来评估相移；我们使用循环统计来提取有关相位的信息。利用我们对果蝇节律的研究产生的数据，我们展示了如何使用独特的分析工具集合来分析和比较行为节律和分子节律。这些方法被证明是通用的，并且也适用于进一步的实验，部分原因是我们开发的代码的非专有性质。
Circadian clocks are biological oscillators that regulate molecular, physiological, and behavioral rhythms in a wide variety of organisms. While behavioral rhythms are typically monitored over many cycles, a similar approach to molecular rhythms was not possible until recently; the advent of real-time analysis using transgenic reporters now permits the observations of molecular rhythms over many cycles as well. This development suggests that new details about the relationship between molecular and behavioral rhythms may be revealed. Even so, behavioral and molecular rhythmicity have been analyzed using different methods, making such comparisons difficult to achieve. To address this shortcoming, among others, we developed a set of integrated analytical tools to unify the analysis of biological rhythms across modalities. We demonstrate an adaptation of digital signal analysis that allows similar treatment of both behavioral and molecular data from our studies of Drosophila. For both types of data, we apply digital filters to extract and clarify details of interest; we employ methods of autocorrelation and spectral analysis to assess rhythmicity and estimate the period; we evaluate phase shifts using crosscorrelation; and we use circular statistics to extract information about phase. Using data generated by our investigation of rhythms in Drosophila we demonstrate how a unique aggregation of analytical tools may be used to analyze and compare behavioral and molecular rhythms. These methods are shown to be versatile and will also be adaptable to further experiments, owing in part to the non-proprietary nature of the code we have developed.
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影响因子：
1.9
作者：
HAMBLENCOYLE, M;KONOPKA, RJ;HALL, JC
通讯作者：
HALL, JC
影响因子：
16.2
作者：
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Hall, JC
影响因子：
9.2
作者：
Giebultowicz, JM;Stanewsky, R;Hege, DM
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影响因子：
2.6
作者：
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通讯作者：
RINGO, JM
影响因子：
2
作者：
DOWSE, HB;RINGO, JM
通讯作者：
RINGO, JM