Evidence map›Paper›PMID 28934013›Full record

ArticleCell cycle (Georgetown, Tex.)2017

Reconciling conflicting models for global control of cell-cycle transcription.

Chun-Yi Cho, Francis C Motta, Christina M Kelliher, Anastasia Deckard, Steven B Haase

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Evolution of the Cell-Cycle Clock Models: Biochemical or Transcriptional?Advances in experimental medicine and biology · 2026
    Review
  2. Article
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  4. Article
  5. Review
  6. Review
  7. Using extremal events to characterize noisy time series.Journal of mathematical biology · 2020
    Article
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  10. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Chun-Yi Choa Department of Biology , Duke University , Durham , NC , USA.
Francis C Mottab Department of Mathematics , Duke University , Durham , NC , USA.
Christina M Kellihera Department of Biology , Duke University , Durham , NC , USA.
Anastasia Deckardb Department of Mathematics , Duke University , Durham , NC , USA.
Steven B Haasea Department of Biology , Duke University , Durham , NC , USA.
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models for the control of global cell-cycle transcription have advanced from a CDK-APC/C oscillator, a transcription factor (TF) network, to coupled CDK-APC/C and TF networks. Nonetheless, current models were challenged by a recent study that concluded that the cell-cycle transcriptional program is primarily controlled by a CDK-APC/C oscillator in budding yeast. Here we report an analysis of the transcriptome dynamics in cyclin mutant cells that were not queried in the previous study. We find that B-cyclin oscillation is not essential for control of phase-specific transcription. Using a mathematical model, we demonstrate that the function of network TFs can be retained in the face of significant reductions in transcript levels. Finally, we show that cells arrested at mitotic exit with non-oscillating levels of B-cyclins continue to cycle transcriptionally. Taken together, these findings support a critical role of a TF network and a requirement for CDK activities that need not be periodic.

Indexed as

Models, BiologicalTranscription, GeneticAlgorithmsCell CycleCyclin BGene Expression RegulationGene Regulatory NetworksMitosisPeriodicitySaccharomyces cerevisiaeTranscription FactorsCyclin BTranscription FactorsCell-cycle transcriptionmathematical modelingtime-series transcriptomicstranscriptional network

Identifiers

PMID28934013
PMCPMC5638368
OpenAlexW2604535862

What OpenQuestion holds

Textmetadata
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.