Evidence map›Paper›PMID 24395825›Full record

ReviewGenetics2014

Topology and control of the cell-cycle-regulated transcriptional circuitry.

Steven B Haase, Curt Wittenberg

Abstract readReview
In one paragraph

Review in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Existence of Causation without Correlation in Transcriptional Networks.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Evolution of the Cell-Cycle Clock Models: Biochemical or Transcriptional?Advances in experimental medicine and biology · 2026
    Review
  6. SDC1 is a critical transmembrane proteoglycan in breast cancer.World journal of surgical oncology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. TOR Complex 1: Orchestrating Nutrient Signaling and Cell Cycle Progression.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Transcriptome analysis of the binucleate ciliateMolecular biology of the cell · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Substrates of the MAPK Slt2: Shaping Yeast Cell Integrity.Journal of fungi (Basel, Switzerland) · 2022
    Review
  18. Article
  19. Review
  20. 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

2 authors.

Steven B HaaseDepartment of Biology and Duke Center for Systems Biology, Duke University, Durham, North Carolina 27708.
Curt Wittenberg

Funding

Project 6P50GM081883 · NIGMS · DUKE UNIVERSITY · PI BENFEY, PHILIP N · 2007 to 2012
$14.9M
REGULATION OF G1-SPECIFIC GENE EXPRESSION IN YEASTR01GM059441 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WITTENBERG, CURT · 2000 to 2016
$6.9M
Dynamics of Ribosome Biogenesis in YeastR01GM100354 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WILLIAMSON, JAMES R, WITTENBERG, CURT · 2012 to 2015
$1.6M
NIGMS NIH HHS P50 GM081883NIGMS NIH HHS P50-GM081883NIGMS NIH HHS R01 GM059441NIGMS NIH HHS R01 GM100354
6 · The paper itself

Abstract

Nearly 20% of the budding yeast genome is transcribed periodically during the cell division cycle. The precise temporal execution of this large transcriptional program is controlled by a large interacting network of transcriptional regulators, kinases, and ubiquitin ligases. Historically, this network has been viewed as a collection of four coregulated gene clusters that are associated with each phase of the cell cycle. Although the broad outlines of these gene clusters were described nearly 20 years ago, new technologies have enabled major advances in our understanding of the genes comprising those clusters, their regulation, and the complex regulatory interplay between clusters. More recently, advances are being made in understanding the roles of chromatin in the control of the transcriptional program. We are also beginning to discover important regulatory interactions between the cell-cycle transcriptional program and other cell-cycle regulatory mechanisms such as checkpoints and metabolic networks. Here we review recent advances and contemporary models of the transcriptional network and consider these models in the context of eukaryotic cell-cycle controls.

Indexed as

Transcription, GeneticCell Cycle CheckpointsCell Cycle ProteinsCell DivisionChromatinGene Expression RegulationGene Expression Regulation, FungalGene Regulatory NetworksSaccharomyces cerevisiaeSchizosaccharomycesTranscription FactorsCell Cycle ProteinsChromatinTranscription Factorscell cycleplaceholdertranscriptionyeast

Identifiers

PMID24395825
PMCPMC3872199

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.