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细胞谱系中反馈和前馈调节的空间动态。

Spatial dynamics of feedback and feedforward regulation in cell lineages.

机构信息

Department of Mathematics and Statistics, San Diego State University, San Diego, California, United States of America.

Department of Population Health and Disease Prevention, Program in Public Health, University of California, Irvine, California, United States of America.

出版信息

PLoS Comput Biol. 2022 May 6;18(5):e1010039. doi: 10.1371/journal.pcbi.1010039. eCollection 2022 May.

Abstract

Feedback mechanisms within cell lineages are thought to be important for maintaining tissue homeostasis. Mathematical models that assume well-mixed cell populations, together with experimental data, have suggested that negative feedback from differentiated cells on the stem cell self-renewal probability can maintain a stable equilibrium and hence homeostasis. Cell lineage dynamics, however, are characterized by spatial structure, which can lead to different properties. Here, we investigate these dynamics using spatially explicit computational models, including cell division, differentiation, death, and migration / diffusion processes. According to these models, the negative feedback loop on stem cell self-renewal fails to maintain homeostasis, both under the assumption of strong spatial restrictions and fast migration / diffusion. Although homeostasis cannot be maintained, this feedback can regulate cell density and promote the formation of spatial structures in the model. Tissue homeostasis, however, can be achieved if spatially restricted negative feedback on self-renewal is combined with an experimentally documented spatial feedforward loop, in which stem cells regulate the fate of transit amplifying cells. This indicates that the dynamics of feedback regulation in tissue cell lineages are more complex than previously thought, and that combinations of spatially explicit control mechanisms are likely instrumental.

摘要

细胞谱系中的反馈机制被认为对于维持组织稳态很重要。假设细胞群体充分混合的数学模型,结合实验数据,已经表明分化细胞对干细胞自我更新概率的负反馈可以维持稳定的平衡,从而维持稳态。然而,细胞谱系动力学的特征是具有空间结构,这可能导致不同的性质。在这里,我们使用空间显式计算模型来研究这些动力学,包括细胞分裂、分化、死亡和迁移/扩散过程。根据这些模型,在强空间限制和快速迁移/扩散的假设下,干细胞自我更新的负反馈环无法维持稳态。尽管不能维持稳态,但这种反馈可以调节细胞密度,并促进模型中空间结构的形成。然而,如果将对自我更新的空间限制负反馈与实验记录的空间前馈回路相结合,其中干细胞调节过渡扩增细胞的命运,就可以实现组织稳态。这表明组织细胞谱系中反馈调节的动力学比以前想象的更为复杂,并且空间显式控制机制的组合可能是关键的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ed/9116666/14fa300e819e/pcbi.1010039.g001.jpg

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