Evidence map›Paper›PMID 34957090›Full record

ArticleFrontiers in cell and developmental biology2021

Monitoring Spontaneous Quiescence and Asynchronous Proliferation-Quiescence Decisions in Prostate Cancer Cells.

Ajai J Pulianmackal, Dan Sun, Kenji Yumoto, Zhengda Li, Yu-Chih Chen, Meha V Patel, Yu Wang, Euisik Yoon, Alexander Pearson, Qiong Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. A workflow for quantifying cell quiescence in 3D spheroids.Biochemistry and biophysics reports · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Frontiers in physiology · 2025
    Article
  8. Review
  9. Article
  10. Article
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

13 authors at 3 institutions in 2 countries.

Ajai J PulianmackalMolecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.
Dan SunMolecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.
Kenji YumotoSchool of Dentistry, University of Michigan, Ann Arbor, MI, United States.
Zhengda LiDepartment of Biophysics, University of Michigan, Ann Arbor, MI, United States.
Yu-Chih ChenDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Meha V PatelMolecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.
Yu WangSchool of Dentistry, University of Michigan, Ann Arbor, MI, United States.
Euisik YoonDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Alexander PearsonDepartment of Medicine, Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, United States.
Qiong YangDepartment of Biophysics, University of Michigan, Ann Arbor, MI, United States.
Russell TaichmanSchool of Dentistry, University of Michigan, Ann Arbor, MI, United States.
Frank C CackowskiSchool of Dentistry, University of Michigan, Ann Arbor, MI, United States.
Laura A ButtittaMolecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USInstitute for Basic Science · KRUniversity of Chicago Medical Center · US

Funding

Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KELLER, EVAN T · 2004 to 2024
$29.6M
Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu · 2014 to 2026
$27.6M
NCI NIH HHS P01 CA093900NCI NIH HHS P50 CA186786
6 · The paper itself

Abstract

The proliferation-quiescence decision is a dynamic process that remains incompletely understood. Live-cell imaging with fluorescent cell cycle sensors now allows us to visualize the dynamics of cell cycle transitions and has revealed that proliferation-quiescence decisions can be highly heterogeneous, even among clonal cell lines in culture. Under normal culture conditions, cells often spontaneously enter non-cycling G0 states of varying duration and depth. This also occurs in cancer cells and G0 entry in tumors may underlie tumor dormancy and issues with cancer recurrence. Here we show that a cell cycle indicator previously shown to indicate G0 upon serum starvation, mVenus-p27K-, can also be used to monitor spontaneous quiescence in untransformed and cancer cell lines. We find that the duration of spontaneous quiescence in untransformed and cancer cells is heterogeneous and that a portion of this heterogeneity results from asynchronous proliferation-quiescence decisions in pairs of daughters after mitosis, where one daughter cell enters or remains in temporary quiescence while the other does not. We find that cancer dormancy signals influence both entry into quiescence and asynchronous proliferation-quiescence decisions after mitosis. Finally, we show that spontaneously quiescent prostate cancer cells exhibit altered expression of components of the Hippo pathway and are enriched for the stem cell markers CD133 and CD44. This suggests a hypothesis that dormancy signals could promote cancer recurrence by increasing the proportion of quiescent tumor cells poised for cell cycle re-entry with stem cell characteristics in cancer.

Indexed as

cell cycledormancylive imagingprostate cancerquiescence

Identifiers

PMID34957090
PMCPMC8703172
OpenAlexW4200384594

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.