Evidence map›Paper›PMID 28892491›Full record

ArticlePLoS biology2017

A map of protein dynamics during cell-cycle progression and cell-cycle exit.

Sara Gookin, Mingwei Min, Harsha Phadke, Mingyu Chung, Justin Moser, Iain Miller, Dylan Carter, Sabrina L Spencer

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

74 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
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  5. HES1 oscillations are required for cell cycle reentry in oestrogen receptor-positive breast cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. A low-level Cdkn1c/p57EMBO reports · 2026
    Article
  7. Article
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  12. Article
  13. Big1 is a cell cycle regulator linking cell size to basal body number.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

14 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

8 authors at 2 institutions in 1 country.

Sara GookinDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Mingwei MinDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Harsha PhadkeDepartment of Electrical, Computer & Energy Engineering, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Mingyu ChungDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Justin MoserDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Iain MillerDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Dylan CarterDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.
Sabrina L SpencerDepartment of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America.ORCID http://orcid.org/0000-0002-5798-3007
University of Colorado Boulder · USStanford University · US

Funding

TRAINING IN SIGNAL TRANSDUCTION &CELL CYCLE REGULATIONT32GM008759 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI AHN, NATALIE G. · 2000 to 2020
$5.9M
Proliferation-quiescence control by integration of stress and mitogen signalingK22CA188144 · NCI · UNIVERSITY OF COLORADO · PI SPENCER, SABRINA LEIGH · 2014 to 2016
$578k
NCI NIH HHS K22 CA188144NIGMS NIH HHS T32 GM008759
6 · The paper itself

Abstract

The cell-cycle field has identified the core regulators that drive the cell cycle, but we do not have a clear map of the dynamics of these regulators during cell-cycle progression versus cell-cycle exit. Here we use single-cell time-lapse microscopy of Cyclin-Dependent Kinase 2 (CDK2) activity followed by endpoint immunofluorescence and computational cell synchronization to determine the temporal dynamics of key cell-cycle proteins in asynchronously cycling human cells. We identify several unexpected patterns for core cell-cycle proteins in actively proliferating (CDK2-increasing) versus spontaneously quiescent (CDK2-low) cells, including Cyclin D1, the levels of which we find to be higher in spontaneously quiescent versus proliferating cells. We also identify proteins with concentrations that steadily increase or decrease the longer cells are in quiescence, suggesting the existence of a continuum of quiescence depths. Our single-cell measurements thus provide a rich resource for the field by characterizing protein dynamics during proliferation versus quiescence.

Indexed as

Cell CycleCell LineContact InhibitionCyclin D1Cyclin-Dependent Kinase 2HumansSingle-Cell AnalysisCyclin D1Cyclin-Dependent Kinase 2

Identifiers

PMID28892491
PMCPMC5608403
OpenAlexW2754919186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.