Evidence map›Paper›PMID 32294416›Full record

ReviewTrends in genetics : TIG2020

On the Molecular Mechanisms Regulating Animal Cell Size Homeostasis.

Evgeny Zatulovskiy, Jan M Skotheim

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cell size modulates ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Establishment of cell size-dependent growth rate via differential scaling of metabolite uptake and release.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A GeneralizedbioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. The human cell count and size distribution.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. 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

2 authors.

Evgeny ZatulovskiyDepartment of Biology, Stanford University, Stanford, CA 94305, USA.
Jan M SkotheimDepartment of Biology, Stanford University, Stanford, CA 94305, USA. Electronic address: skotheim@stanford.edu.

Funding

Determining how cell growth triggers cell divisionR35GM134858 · NIGMS · STANFORD UNIVERSITY · PI Jan M Skotheim · 2020 to 2026
$4.1M
NIGMS NIH HHS R35 GM134858
6 · The paper itself

Abstract

Cell size is fundamental to cell physiology because it sets the scale of intracellular geometry, organelles, and biosynthetic processes. In animal cells, size homeostasis is controlled through two phenomenologically distinct mechanisms. First, size-dependent cell cycle progression ensures that smaller cells delay cell cycle progression to accumulate more biomass than larger cells prior to cell division. Second, size-dependent cell growth ensures that larger and smaller cells grow slower per unit mass than more optimally sized cells. This decade has seen dramatic progress in single-cell technologies establishing the diverse phenomena of cell size control in animal cells. Here, we review this recent progress and suggest pathways forward to determine the underlying molecular mechanisms.

Indexed as

Cell SizeSingle-Cell AnalysisAnimalsCell CycleCell DivisionCell ProliferationHomeostasisHumanscell cyclecell growth ratecell sizeG1/S stochastic sizerprotein dilution

Identifiers

PMID32294416
PMCPMC7162994

What OpenQuestion holds

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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.