Evidence map›Paper›PMID 34800361›Full record

ArticleCell systems2022

The structure of the human cell cycle.

Wayne Stallaert, Katarzyna M Kedziora, Colin D Taylor, Tarek M Zikry, Jolene S Ranek, Holly K Sobon, Sovanny R Taylor, Catherine L Young, Jeanette G Cook, Jeremy E Purvis

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Mitigating Cell Cycle Effects in Multi-Omics Data: Solutions and Analytical Frameworks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Wayne StallaertDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Katarzyna M KedzioraDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Bioinformatics and Analytics Research Collaborative, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Colin D TaylorDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tarek M ZikryComputational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA.
Jolene S RanekDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Holly K SobonDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Sovanny R TaylorDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Catherine L YoungDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jeanette G CookDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jeremy E PurvisDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: purvisj@email.unc.edu.
University of North Carolina at Chapel Hill · US

Funding

Replication Licensing and the Cell CycleR01GM083024 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COOK, JEANETTE GOWEN · 2009 to 2020
$2.9M
Cell Cycle Dynamics that Ensure Genome MaintenanceR35GM141833 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COOK, JEANETTE GOWEN · 2021 to 2025
$2.8M
UG Support Administrative Supplement: Computational Models of the Human Cell Cycle to Reveal Disease Mechanism and Inform TreatmentR01GM138834 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jeremy Purvis · 2020 to 2026
$2.7M
Post-Translational Regulation of DNA Replication Origin Licensing in Human CellsR01GM102413 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COOK, JEANETTE GOWEN · 2013 to 2021
$2.5M
Controlling Stem Cell Fate through Computational ModelingDP2HD091800 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PURVIS, JEREMY · 2016 to 2018
$2.3M
Deep learning models to predict primitive streak formation in human developmentF31HL156464 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZIKRY, TAREK · 2021 to 2024
$156k
NHLBI NIH HHS F31 HL156464NICHD NIH HHS DP2 HD091800NIGMS NIH HHS R01 GM083024NIGMS NIH HHS R01 GM102413NIGMS NIH HHS R01 GM138834NIGMS NIH HHS R35 GM141833
6 · The paper itself

Abstract

Understanding the organization of the cell cycle has been a longstanding goal in cell biology. We combined time-lapse microscopy, highly multiplexed single-cell imaging of 48 core cell cycle proteins, and manifold learning to render a visualization of the human cell cycle. This data-driven approach revealed the comprehensive "structure" of the cell cycle: a continuum of molecular states that cells occupy as they transition from one cell division to the next, or as they enter or exit cell cycle arrest. Paradoxically, progression deeper into cell cycle arrest was accompanied by increases in proliferative effectors such as CDKs and cyclins, which can drive cell cycle re-entry by overcoming p21 induction. The structure also revealed the molecular trajectories into senescence and the unique combination of molecular features that define this irreversibly arrested state. This approach will enable the comparison of alternative cell cycles during development, in response to environmental perturbation and in disease. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Cyclin-Dependent KinasesCyclinsCell CycleCell Cycle CheckpointsCell DivisionHumansCyclin-Dependent KinasesCyclinscell cyclemachine learningmanifold learningquiescencesenescencesingle-cell imaging

Identifiers

PMID34800361
PMCPMC8930470
OpenAlexW3214825366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.