Evidence map›Paper›PMID 27753528›Full record

ReviewCell cycle (Georgetown, Tex.)2016

Novel functions for the transcription factor E2F4 in development and disease.

Jenny Hsu, Julien Sage

Open access · hybridAbstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

71 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Resistance of E2F4DN to p38Scientific reports · 2026
    Article
  3. Review
  4. Article
  5. Article
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  16. Review
  17. bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Article

11 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.

Jenny Hsua Departments of Pediatrics and Genetics , Stanford University , Stanford , CA , USA.
Julien Sagea Departments of Pediatrics and Genetics , Stanford University , Stanford , CA , USA.
Pediatrics and Genetics · USStanford University · US

Funding

GENETICS TRAINING PROGRAM FOR PHD CANDIDATEST32GM007790 · NIGMS · STANFORD UNIVERSITY · PI BRUNET, ANNE, KINGSLEY, DAVID M · 1985 to 2020
$12.8M
The RB pathway in liver cancerR01CA114102 · NCI · STANFORD UNIVERSITY · PI SAGE, JULIEN · 2006 to 2016
$2.9M
NCI NIH HHS R01 CA114102NIGMS NIH HHS T32 GM007790
6 · The paper itself

Abstract

The E2F family of transcription factors is a key determinant of cell proliferation in response to extra- and intra-cellular signals. Within this family, E2F4 is a transcriptional repressor whose activity is critical to engage and maintain cell cycle arrest in G0/G1 in conjunction with members of the retinoblastoma (RB) family. However, recent observations challenge this paradigm and indicate that E2F4 has a multitude of functions in cells besides this cell cycle regulatory role, including in embryonic and adult stem cells, during regenerative processes, and in cancer. Some of these new functions are independent of the RB family and involve direct activation of target genes. Here we review the canonical functions of E2F4 and discuss recent evidence expanding the role of this transcription factor, with a focus on cell fate decisions in tissue homeostasis and regeneration.

Indexed as

DiseaseEmbryonic DevelopmentAnimalsCell CycleE2F4 Transcription FactorHumansModels, AnimalModels, BiologicalE2F4 Transcription Factorcancercell cycledevelopmentdifferentiationE2FE2F4RBregenerationstem cells

Identifiers

PMID27753528
PMCPMC5176148
OpenAlexW2534270080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.