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Stem Cell Populations as Self-Renewing Many-Particle Systems
Annual Review of Condensed Matter Physics ( IF 14.3 ) Pub Date : 2021-03-10 , DOI: 10.1146/annurev-conmatphys-041720-125707 David J. Jörg 1, 2 , Yu Kitadate 3, 4 , Shosei Yoshida 3, 4 , Benjamin D. Simons 2, 5, 6
中文翻译:
干细胞群体作为自我更新的多粒子系统
更新日期:2021-03-10
Annual Review of Condensed Matter Physics ( IF 14.3 ) Pub Date : 2021-03-10 , DOI: 10.1146/annurev-conmatphys-041720-125707 David J. Jörg 1, 2 , Yu Kitadate 3, 4 , Shosei Yoshida 3, 4 , Benjamin D. Simons 2, 5, 6
Affiliation
This article reviews the physical principles of stem cell populations as active many-particle systems that are able to self-renew, control their density, and recover from depletion. We illustrate the dynamical and statistical hallmarks of homeostatic mechanisms, from stem cell density fluctuations and transient large-scale oscillation dynamics during recovery to the scaling behavior of clonal dynamics and front-like boundary propagation during regeneration.
中文翻译:
干细胞群体作为自我更新的多粒子系统
本文回顾了干细胞群体作为活跃的多粒子系统的物理原理,这些系统能够自我更新,控制其密度并从耗竭中恢复过来。我们说明了稳态机制的动力学和统计特征,从恢复过程中的干细胞密度波动和短暂的大规模振荡动力学到再生过程中克隆动力学的缩放行为和前缘边界传播。