Controlling Depth of Cellular Quiescence by an Rb-E2F Network Switch
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Author
Kwon, Jungeun SarahEveretts, Nicholas J.
Wang, Xia
Wang, Weikang
Della Croce, Kimiko
Xing, Jianhua
Yao, Guang
Affiliation
Univ Arizona, Dept Mol & Cellular BiolUniv Arizona, Arizona Canc Ctr
Issue Date
2017-09Keywords
cellular quiescencequiescence depth
quiescence heterogeneity
cell cycle entry
cell proliferation
cell growth
Rb-E2F pathway
bistable switch
model simulation
activation threshold
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CELL PRESSCitation
Controlling Depth of Cellular Quiescence by an Rb-E2F Network Switch 2017, 20 (13):3223 Cell ReportsJournal
Cell ReportsRights
© 2017 The Authors. This is an open access article under the CC BY-NC-ND license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.ISSN
22111247PubMed ID
28954237Version
Final published versionSponsors
NSF [DMS-1463137, DMS-1418172]; NIH [GM084905]; DARPA [WF911NF-14-1-0395]; NSF of China [31500676]; Anhui Province [1508085SQC202]Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S2211124717312688ae974a485f413a2113503eed53cd6c53
10.1016/j.celrep.2017.09.007
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Except where otherwise noted, this item's license is described as © 2017 The Authors. This is an open access article under the CC BY-NC-ND license.
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