Evidence map›Paper›PMID 16632889›Full record

ReviewMolecular biotechnology2006

Control of the G2/M transition.

George R Stark, William R Taylor

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed
6.7field-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

139 citing papers in PubMed, 271 citations in OpenAlex.

  1. Trial
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  3. The principles of systems biology.Experimental physiology · 2026
    Review
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  9. G-quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  18. Review
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79 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

George R StarkDepartment of Molecular Biology, Lerner Research Institute, The Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
William R Taylor
Cleveland Clinic · USUniversity of Toledo · US

Funding

Transcriptional repression in response to p53R15GM073758 · NIGMS · UNIVERSITY OF TOLEDO · PI TAYLOR, WILLIAM R · 2005 to 2005
$216k
NIGMS NIH HHS GM 073758
6 · The paper itself

Abstract

The G2 checkpoint prevents cells from entering mitosis when DNA is damaged, providing an opportunity for repair and stopping the proliferation of damaged cells. Because the G2 checkpoint helps to maintain genomic stability, it is an important focus in understanding the molecular causes of cancer. Many different methods have been used to investigate the G2 checkpoint and uncover some of the underlying mechanisms. Because cell cycle controls are highly conserved, a remarkable synergy between the genetic power of model organisms and biochemical analyses is possible and has uncovered control mechanisms that operate in many diverse species, including humans. CDC2, the cyclin-dependent kinase that normally drives cells into mitosis, is the ultimate target of pathways that mediate rapid arrest in G2 in response to DNA damage. Additional pathways ensure that the arrest is stably maintained. When mammalian cells contain damaged DNA, the p53 tumor suppressor and the Rb family of transcriptional repressors work together to downregulate a large number of genes that encode proteins required for G2 and M. Elimination of these essential cell cycle proteins helps to keep the cells arrested in G2.

Indexed as

AnimalsCell CycleCell Cycle ProteinsDNA DamageG2 PhaseHumansMitosisModels, BiologicalCell Cycle Proteins

Identifiers

PMID16632889
OpenAlexW2020700496

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.