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Mouse Hair Cycle Expression Dynamics Modeled as Coupled Mesenchymal and Epithelial Oscillators

机译:小鼠毛发周期表达动力学建模为间充质和上皮振荡器耦合。

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摘要

The hair cycle is a dynamic process where follicles repeatedly move through phases of growth, retraction, and relative quiescence. This process is an example of temporal and spatial biological complexity. Understanding of the hair cycle and its regulation would shed light on many other complex systems relevant to biological and medical research. Currently, a systematic characterization of gene expression and summarization within the context of a mathematical model is not yet available. Given the cyclic nature of the hair cycle, we felt it was important to consider a subset of genes with periodic expression. To this end, we combined several mathematical approaches with high-throughput, whole mouse skin, mRNA expression data to characterize aspects of the dynamics and the possible cell populations corresponding to potentially periodic patterns. In particular two gene clusters, demonstrating properties of out-of-phase synchronized expression, were identified. A mean field, phase coupled oscillator model was shown to quantitatively recapitulate the synchronization observed in the data. Furthermore, we found only one configuration of positive-negative coupling to be dynamically stable, which provided insight on general features of the regulation. Subsequent bifurcation analysis was able to identify and describe alternate states based on perturbation of system parameters. A 2-population mixture model and cell type enrichment was used to associate the two gene clusters to features of background mesenchymal populations and rapidly expanding follicular epithelial cells. Distinct timing and localization of expression was also shown by RNA and protein imaging for representative genes. Taken together, the evidence suggests that synchronization between expanding epithelial and background mesenchymal cells may be maintained, in part, by inhibitory regulation, and potential mediators of this regulation were identified. Furthermore, the model suggests that impairing this negative regulation will drive a bifurcation which may represent transition into a pathological state such as hair miniaturization.
机译:毛发循环是一个动态过程,在该过程中,毛囊反复经过生长,回缩和相对静止的阶段。这个过程是时间和空间生物学复杂性的一个例子。对头发周期及其调控的理解将为许多其他与生物学和医学研究相关的复杂系统提供启发。目前,尚无法在数学模型的背景下对基因表达和汇总进行系统的表征。考虑到毛发循环的周期性,我们认为考虑周期性表达的基因子集非常重要。为此,我们将几种数学方法与高通量,整个小鼠皮肤,mRNA表达数据相结合,以表征动力学的方面以及与潜在周期性模式相对应的可能细胞群。特别是,鉴定了两个基因簇,它们证明了异相同步表达的特性。示出了平均场,相位耦合的振荡器模型来定量地概括数据中观察到的同步。此外,我们发现正负耦合只有一种配置是动态稳定的,这为法规的一般特征提供了见识。随后的分叉分析能够基于系统参数的扰动来识别和描述备用状态。使用2种群混合物模型和细胞类型富集将两个基因簇与背景间充质种群和快速扩张的滤泡上皮细胞的特征相关联。通过代表性基因的RNA和蛋白质成像还显示了不同的表达时间和定位。综上所述,证据表明,扩张的上皮细胞和背景间充质细胞之间的同步可能部分地通过抑制性调节来维持,并且已经确定了这种调节的潜在介质。此外,该模型表明,削弱这种负调节作用将导致分叉,这可能代表过渡到病理状态,例如头发微型化。

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