Nanog induced intermediate state in regulating stem cell differentiation and reprogramming

被引:29
作者
Yu, Peijia [1 ]
Nie, Qing [2 ,3 ]
Tang, Chao [1 ,4 ]
Zhang, Lei [1 ,5 ]
机构
[1] Peking Univ, Ctr Quantitat Biol, Beijing 100871, Peoples R China
[2] Univ Calif Irvine, Dept Math, Irvine, CA 92697 USA
[3] Univ Calif Irvine, Dept Dev & Cell Biol, Irvine, CA 92697 USA
[4] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[5] Peking Univ, Beijing Int Ctr Math Res, Beijing 100871, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Gene network; Stem cells; Cell differentiation; iPS cell reprogramming; Intermediate cellular state; Nanog; POTENTIAL LANDSCAPE; SOMATIC-CELLS; PLURIPOTENCY; NOISE; HETEROGENEITY; SYSTEMS; FATE;
D O I
10.1186/s12918-018-0552-3
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Heterogeneous gene expressions of cells are widely observed in self-renewing pluripotent stem cells, suggesting possible coexistence of multiple cellular states with distinct characteristics. Though the elements regulating cellular states have been identified, the underlying dynamic mechanisms and the significance of such cellular heterogeneity remain elusive. Results: We present a gene regulatory network model to investigate the bimodal Nanog distribution in stem cells. Our model reveals a novel role of dynamic conversion between the cellular states of high and low Nanog levels. Model simulations demonstrate that the low-Nanog state benefits cell differentiation through serving as an intermediate state to reduce the barrier of transition. Interestingly, the existence of low-Nanog state dynamically slows down the reprogramming process, and additional Nanog activation is found to be essential to quickly attaining the fully reprogrammed cell state. Conclusions: Nanog has been recognized as a critical pluripotency gene in stem cell regulation. Our modeling results quantitatively show a dual role of Nanog during stem cell differentiation and reprogramming, and the importance of the intermediate state during cell state transitions. Our approach offers a general method for analyzing key regulatory factors controlling cell differentiation and reprogramming.
引用
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页数:13
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