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A novel mathematical method for disclosing oscillations in gene transcription: A comparative study

机译:揭示基因转录振荡的新数学方法:比较研究

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摘要

Circadian rhythmicity, the 24-hour cycle responsive to light and dark, is determined by periodic oscillations in gene transcription. This phenomenon has broad ramifications in physiologic function. Recent work has disclosed more cycles in gene transcription, and to the uncovering of these we apply a novel signal processing methodology known as the pencil method and compare it to conventional parametric, nonparametric, and statistical methods. Methods: In order to assess periodicity of gene expression over time, we analyzed a database derived from livers of mice entrained to a 12-hour light/12-hour dark cycle. We also analyzed artificially generated signals to identify differences between the pencil decomposition and other alternative methods. Results: The pencil decomposition revealed hitherto-unsuspected oscillations in gene transcription with 12-hour periodicity. The pencil method was robust in detecting the 24-hour circadian cycle that was known to exist, as well as confirming the existence of shorter-period oscillations. A key consequence of this approach is that orthogonality of the different oscillatory components can be demonstrated. thus indicating a biological independence of these oscillations, that has been subsequently confirmed empirically by knocking out the gene responsible for the 24-hour clock. Conclusion: System identification techniques can be applied to biological systems and can uncover important characteristics that may elude visual inspection of the data. Significance: The pencil method provides new insights on the essence of gene expression and discloses a wide variety of oscillations in addition to the well-studied circadian pattern. This insight opens the door to the study of novel mechanisms by which oscillatory gene expression signals exert their regulatory effect on cells to influence human diseases.
机译:昼夜节律性,对光明和黑暗有反应的24小时周期,是由基因转录的周期性振荡决定的。这种现象在生理功能上有广泛的影响。最近的工作已经揭示了基因转录中更多的循环,为了揭示这些循环,我们应用了一种称为信号笔法的新型信号处理方法,并将其与常规的参数,非参数和统计方法进行了比较。方法:为了评估基因表达随时间变化的周期性,我们分析了一个数据库,该数据库来自于12小时光照/ 12小时黑暗周期夹带的小鼠肝脏。我们还分析了人工生成的信号,以识别铅笔分解和其他替代方法之间的差异。结果:铅笔分解显示出基因转录迄今未曾想到的振荡,周期为12小时。铅笔方法在检测已知存在的24小时昼夜周期方面很可靠,并且可以确认存在较短周期的振荡。这种方法的关键结果是可以证明不同振荡分量的正交性。因此表明这些振荡的生物学独立性,随后已通过敲除负责24小时制的基因在经验上得到证实。结论:系统识别技术可以应用于生物系统,并且可以发现可能无法直观检查数据的重要特征。启示:铅笔方法为基因表达的本质提供了新的见识,并揭示了除了充分研究的昼夜节律之外的各种振荡。这种见解为研究新机制打开了大门,通过该机制,振荡基因表达信号对细胞发挥调节作用,从而影响人类疾病。

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