Evidence map›Paper›PMID 34212855›Full record

ArticleeLife2021

Control of tissue development and cell diversity by cell cycle-dependent transcriptional filtering.

Maria Abou Chakra, Ruth Isserlin, Thinh N Tran, Gary D Bader

Abstract read
In one paragraph

Article in eLife, 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
–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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Cell cycle expression heterogeneity predicts degree of differentiation.bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Imaging developmental cell cycles.Biophysical journal · 2021
    Review
  10. Review
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

4 authors.

Maria Abou ChakraThe Donnelly Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-4895-954X
Ruth IsserlinThe Donnelly Centre, University of Toronto, Toronto, Canada.
Thinh N TranThe Donnelly Centre, University of Toronto, Toronto, Canada.
Gary D BaderThe Donnelly Centre, University of Toronto, Toronto, Canada.ORCID 0000-0003-0185-8861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle duration changes dramatically during development, starting out fast to generate cells quickly and slowing down over time as the organism matures. The cell cycle can also act as a transcriptional filter to control the expression of long gene transcripts, which are partially transcribed in short cycles. Using mathematical simulations of cell proliferation, we identify an emergent property that this filter can act as a tuning knob to control gene transcript expression, cell diversity, and the number and proportion of different cell types in a tissue. Our predictions are supported by comparison to single-cell RNA-seq data captured over embryonic development. Additionally, evolutionary genome analysis shows that fast-developing organisms have a narrow genomic distribution of gene lengths while slower developers have an expanded number of long genes. Our results support the idea that cell cycle dynamics may be important across multicellular animals for controlling gene transcript expression and cell fate.

Indexed as

Cell CycleComputer SimulationModels, BiologicalTranscription, GeneticAlgorithmsGene Expression Regulation, DevelopmentalSingle-Cell AnalysisSoftwarecell cycle durationcomputational biologycomputational modeldevelopmental biologyearly developmenteukaryotesfate decisionsnonesystems biologytranscriptional filter

Identifiers

PMID34212855
PMCPMC8279763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.