经典维甲酸信号通路中影响蛋白的鉴定。

Q1 Mathematics
Hamed Ghaffari, Linda R Petzold
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引用次数: 13

摘要

背景:在维甲酸(retinoic acid, RA)介导基因转录的经典途径中,RA与由维甲酸受体(retinoic acid receptor, RAR)和类视黄酸X受体(retinoid X receptor, RXR)组成的核激素受体二聚体结合,诱导其下游靶基因的表达。除核受体外,细胞内还有其他RA结合蛋白,如细胞维甲酸结合蛋白(CRABP1和CRABP2)和细胞色素P450 (CYP)酶,它们对RA信号通路的作用尚未完全了解。本研究的目的是比较各种RA结合受体CRABP1、CRABP2、CYP和RAR在RA信号通路中的意义。在这方面,我们建立了RA通路的数学模型,这是少数模型之一,如果不是唯一的,包括所有主要的细胞内RA结合受体。然后,我们进行了全局敏感性分析(GSA),以研究当细胞被广泛的RA水平(从生理浓度到药理学浓度)处理时,RA受体对RA诱导的mRNA产生的贡献。结果:我们的研究结果表明,在RA生理浓度(1-10 nM)下,CRABP2和RAR分别是控制模型性能最重要和最不重要的蛋白。然而,在较高浓度的RA下,CYP和RAR是该系统最敏感的参数。此外,我们发现,根据所有RA结合蛋白的浓度,RA的代谢率可以在RA治疗后改变或保持不变。在药理条件下(RA = 0.1-1 μM),细胞水平的CRABP1比CRABP2更重要地控制RA代谢物的形成。最后,我们的研究结果表明,在RA的药理学水平上,总mRNA的产生与总RA代谢物的形成之间存在显著的负相关。结论:我们的模拟表明,RA结合蛋白在RA基因表达途径中的重要性强烈依赖于细胞内RA浓度。这项研究不仅可以解释为什么不同类型的细胞对RA治疗的反应不同,而且还可以潜在地帮助开发药理学方法来提高药物的疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of influential proteins in the classical retinoic acid signaling pathway.

Identification of influential proteins in the classical retinoic acid signaling pathway.

Identification of influential proteins in the classical retinoic acid signaling pathway.

Identification of influential proteins in the classical retinoic acid signaling pathway.

Background: In the classical pathway of retinoic acid (RA) mediated gene transcription, RA binds to a nuclear hormone receptor dimer composed of retinoic acid receptor (RAR) and retinoid X receptor (RXR), to induce the expression of its downstream target genes. In addition to nuclear receptors, there are other intracellular RA binding proteins such as cellular retinoic acid binding proteins (CRABP1 and CRABP2) and cytochrome P450 (CYP) enzymes, whose contributions to the RA signaling pathway have not been fully understood. The objective of this study was to compare the significance of various RA binding receptors, i.e. CRABP1, CRABP2, CYP and RAR in the RA signaling pathway. In this regard, we developed a mathematical model of the RA pathway, which is one of the few models, if not the only one, that includes all main intracellular RA binding receptors. We then performed a global sensitivity analysis (GSA) to investigate the contribution of the RA receptors to RA-induced mRNA production, when the cells were treated with a wide range of RA levels, from physiological to pharmacological concentrations.

Results: Our results show that CRABP2 and RAR are the most and the least important proteins, respectively, in controlling the model performance at physiological concentrations of RA (1-10 nM). However, at higher concentrations of RA, CYP and RAR are the most sensitive parameters of the system. Furthermore, we found that depending on the concentrations of all RA binding proteins, the rate of metabolism of RA can either change or remain constant following RA therapy. The cellular levels of CRABP1 are more important than that of CRABP2 in controlling RA metabolite formation at pharmacological conditions (RA = 0.1-1 μM). Finally, our results indicate a significant negative correlation between total mRNA production and total RA metabolite formation at pharmacological levels of RA.

Conclusions: Our simulations indicate that the significance of the RA binding proteins in the RA pathway of gene expression strongly depends on intracellular concentration of RA. This study not only can explain why various cell types respond to RA therapy differently, but also can potentially help develop pharmacological methods to increase the efficacy of the drug.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
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0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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