ON THE RELATION BETWEEN FLUCTUATION AND SCALING-LAW IN GENE EXPRESSION TIME SERIES FROM YEAST TO HUMAN
ON THE RELATION BETWEEN FLUCTUATION AND SCALING-LAW IN GENE EXPRESSION TIME SERIES FROM YEAST TO HUMAN
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DOI：
10.1142/s0217984905009249
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发表时间：
2005-10
影响因子：
1.9
通讯作者：
J. Nacher;T. Ochiai;T. Akutsu
中科院分区：
文献类型：
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作者：
J. Nacher;T. Ochiai;T. Akutsu
在这项工作中，研究了基因表达时间序列波动的动力学。通过收集酵母和人类生物的基因表达数据，我们发现基因表达水平的波动与基因表达的平均值随时间的变化具有很强的相关性，并遵循标度定律。由于这一特征在酵母和人类生物体中都有发现，这表明这种耦合可能是所有生命系统共同的动态组织特性。为了理解这些观察结果，我们提出了一个可以解释这些集体波动的随机模型，并预测标度指数。有趣的是，我们的研究结果表明，观察到的标度定律来自于嵌入在基因表达波动中的自相似对称性。
In this work, the dynamics of fluctuations in gene expression time series is investigated. By using collected data of gene expression from yeast and human organisms, we found that the fluctuations of gene expression level and the average value of gene expression over time are strongly correlated and obey a scaling law. As this feature is found in yeast and human organisms, it suggests that probably this coupling is a common dynamical organizing property of all living systems. To understand these observations, we propose a stochastic model which can explain these collective fluctuations, and predict the scaling exponent. Interestingly, our results indicate that the observed scaling law emerges from the self-similarity symmetry embedded in gene expression fluctuations.