Evidence map›Paper›PMID 28954237›Full record

ArticleCell reports2017

Controlling Depth of Cellular Quiescence by an Rb-E2F Network Switch.

Jungeun Sarah Kwon, Nicholas J Everetts, Xia Wang, Weikang Wang, Kimiko Della Croce, Jianhua Xing, Guang Yao

Abstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Cancer Cell Dormancy in the Bone Microenvironment.Current osteoporosis reports · 2025
    Review
  11. Quiescence Multiverse.Biomolecules · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Spherical Manifolds Capture Drug-Induced Changes in Tumor Cell Cycle Behavior.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jungeun Sarah KwonDepartment of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Nicholas J EverettsDepartment of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Xia WangDepartment of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Weikang WangDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA.
Kimiko Della CroceDepartment of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Jianhua XingDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA.
Guang YaoDepartment of Molecular & Cellular Biology, University of Arizona, Tucson, AZ 85721, USA; Arizona Cancer Center, University of Arizona, Tucson, AZ 85719, USA. Electronic address: guangyao@arizona.edu.

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM084905 · NIGMS · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2009 to 2018
$2.2M
NIGMS NIH HHS T32 GM084905
6 · The paper itself

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.

Indexed as

Models, BiologicalAnimalsCell DivisionCell ProliferationCellular SenescenceE2F Transcription FactorsFibroblastsGene Regulatory NetworksHumansRatsRetinoblastoma ProteinE2F Transcription FactorsRetinoblastoma Proteinactivation thresholdbistable switchcell cycle entrycell growthcell proliferationcellular quiescencemodel simulationquiescence depthquiescence heterogeneityRb-E2F pathway

Identifiers

PMID28954237
PMCPMC6571029

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.