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昼夜节律瞬态变化的建模

Modeling Transient Changes in Circadian Rhythms

Ziyu Zhao, Dae-Sung Hwangbo, Sumit Saurabh, Clark Rosensweig, Ravi Allada, William L. Kath, Rosemary Braun

AI总结:

本文基于Floquet理论框架对果蝇昼夜节律在温度变化下的瞬态响应进行建模,结合分位数回归和AICc推断基因适应速率,识别出快速响应基因并揭示蛋白酶体的潜在调控作用。

摘要:

昼夜节律时钟能够根据外部信号进行自我调整,但控制昼夜节律振荡瞬态调节的分子机制和调控网络在很大程度上仍然未知。本文考虑昼夜节律振荡对温度变化作出瞬态响应的特定情形。利用受Floquet理论启发的框架,我们对黑腹果蝇脂肪体在从25°C阶跃变化到18°C后的mRNA表达水平进行建模。通过该方法,我们推断出各个基因在适应新温度过程中的适应速率。为了处理表达数据中存在的异方差噪声和离群值,我们采用分位数回归和wild bootstrap进行显著性检验。此外,还使用有限样本校正的赤池信息准则(AICc)进行模型选择,以实现稳健推断。我们识别出若干具有快速转换速率的基因,它们可能是果蝇昼夜节律系统中温度介导响应的潜在来源,并且所构建的网络表明蛋白酶体可能在这些响应的调控中发挥重要作用。

英文摘要:

The circadian clock can adapt itself to external cues, but the molecular mechanisms and regulatory networks governing circadian oscillations' transient adjustments are still largely unknown. Here we consider the specific case of circadian oscillations transiently responding to a temperature change. Using a framework motivated by Floquet theory, we model the mRNA expression level of the fat body from Drosophila melanogaster following a step change from 25C to 18C. Using the method we infer the adaptation rates of individual genes as they adapt to the new temperature. To deal with heteroskedastic noise and outliers present in the expression data we employ quantile regression and wild bootstrap for significance testing. Model selection with finite-sample corrected Akaike Information Criterion (AICc) is performed additionally for robust inference. We identify several genes with fast transition rates as potential sources of temperature-mediated responses in the circadian system of fruit flies, and the constructed network suggests that the proteasome may play important roles in governing these responses.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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