成体神经干细胞中Noggin和BMP密度的数学模型

Q3 Mathematics Letters in Biomathematics Pub Date : 2017-01-01 DOI:10.1080/23737867.2017.1401493
K. Larripa, A. Gallegos
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引用次数: 2

摘要

摘要神经干细胞(NSCs)在对外部信号提示作出反应的动态过程中,在成年海马体中终生产生新的神经元。成年海马中的神经干细胞很少分裂,并且已经表明骨形态发生蛋白(BMP)调节它们的静止。输注诺金,一种BMP拮抗剂,可以阻断这种信号传导。我们研究了BMP和Noggin在这一特定生态位中的平衡,并用一维反应-扩散模型定性再现了获得的实验结果和定性再现了实验结果。我们使用该模型将BMP信号传导谱与特定的细胞结果联系起来,并确定BMP的瞬时输注是否会导致可以通过输注Noggin逆转的信号传导谱。此外,我们分析了扩散在该系统中的作用,以生成具有显著不同细胞命运结果的信号谱,并表明在我们的反应-扩散方程系统中,扩散驱动的不稳定性是不可能的。
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A mathematical model of Noggin and BMP densities in adult neural stem cells
Abstract New neurons are generated in the adult hippocampus throughout life by neural stem cells (NSCs) in a dynamic process responsive to external signalling cues. NSCs in the adult hippocampus divide infrequently, and it has been shown that bone morphogenetic protein (BMP) modulates their quiescence. Infusion of Noggin, a BMP antagonist, blocks this signalling. We investigate the balance of BMP and Noggin in this particular niche and qualitatively reproduce experimental results obtained and qualitatively reproduce experimental results with a one-dimensional reaction–diffusion model. We use the model to connect BMP signalling profiles with specific cellular outcomes and to determine whether the transient infusion of BMP leads to a signalling profile which can be reversed by the infusion of Noggin. Additionally, we analyse the role of diffusion in this system for generating signalling profiles with dramatically different cell-fate outcomes and show that diffusion-driven instability is not possible in our system of reaction–diffusion equations.
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来源期刊
Letters in Biomathematics
Letters in Biomathematics Mathematics-Statistics and Probability
CiteScore
2.00
自引率
0.00%
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审稿时长
14 weeks
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