Department of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA.
Cell Rep. 2017 Sep 26;20(13):3223-3235. doi: 10.1016/j.celrep.2017.09.007.
Quiescence is a non-proliferative cellular state that is critical to tissue repair and regeneration. Although often described as the G0 phase, quiescence is not a single homogeneous state. As cells remain quiescent for longer durations, they move progressively deeper and display a reduced sensitivity to growth signals. Deep quiescent cells, unlike senescent cells, can still re-enter the cell cycle under physiological conditions. Mechanisms controlling quiescence depth are poorly understood, representing a currently underappreciated layer of complexity in growth control. Here, we show that the activation threshold of a Retinoblastoma (Rb)-E2F network switch controls quiescence depth. Particularly, deeper quiescent cells feature a higher E2F-switching threshold and exhibit a delayed traverse through the restriction point (R-point). We further show that different components of the Rb-E2F network can be experimentally perturbed, following computer model predictions, to coarse- or fine-tune the E2F-switching threshold and drive cells into varying quiescence depths.
静止是一种非增殖性的细胞状态,对组织修复和再生至关重要。尽管静止状态常被描述为 G0 期,但它并不是一种单一的同质状态。随着细胞保持静止的时间延长,它们会逐渐深入,并对生长信号的敏感性降低。与衰老细胞不同,深度静止的细胞在生理条件下仍可以重新进入细胞周期。控制静止深度的机制尚不清楚,这代表着在生长控制中存在一个目前被低估的复杂性层次。在这里,我们表明视网膜母细胞瘤 (Rb)-E2F 网络开关的激活阈值控制着静止深度。具体来说,深度静止的细胞具有更高的 E2F 开关阈值,并表现出通过限制点 (R 点) 的延迟遍历。我们进一步表明,Rb-E2F 网络的不同组件可以根据计算机模型预测进行实验性扰动,从而粗略或精细地调整 E2F 开关阈值,并将细胞驱动到不同的静止深度。