Suppr超能文献

分歧与敏感性分析揭示了巨噬细胞极化模型中多稳态的关键驱动因素。

Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization.

作者信息

Frank Anna S, Larripa Kamila, Ryu Hwayeon, Snodgrass Ryan G, Röblitz Susanna

机构信息

Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.

Department of Mathematics, Humboldt State University, Arcata, CA, USA.

出版信息

J Theor Biol. 2021 Jan 21;509:110511. doi: 10.1016/j.jtbi.2020.110511. Epub 2020 Oct 9.

Abstract

In this paper, we present and analyze a mathematical model for polarization of a single macrophage which, despite its simplicity, exhibits complex dynamics in terms of multistability. In particular, we demonstrate that an asymmetry in the regulatory mechanisms and parameter values is important for observing multiple phenotypes. Bifurcation and sensitivity analyses show that external signaling cues are necessary for macrophage commitment and emergence to a phenotype, but that the intrinsic macrophage pathways are equally important. Based on our numerical results, we formulate hypotheses that could be further investigated by laboratory experiments to deepen our understanding of macrophage polarization.

摘要

在本文中,我们提出并分析了一个关于单个巨噬细胞极化的数学模型,该模型尽管简单,但在多稳定性方面表现出复杂的动力学特性。特别是,我们证明了调节机制和参数值中的不对称性对于观察多种表型很重要。分岔分析和敏感性分析表明,外部信号线索对于巨噬细胞定向分化并呈现某种表型是必要的,但巨噬细胞的内在信号通路同样重要。基于我们的数值结果,我们提出了一些假设,可通过实验室实验进一步研究,以加深我们对巨噬细胞极化的理解。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验