Evidence map›Paper›PMID 25111486›Full record

ReviewEpigenomics2014

Functions of SAGA in development and disease.

Li Wang, Sharon Y R Dent

Open access · greenAbstract readReview
In one paragraph

Review in Epigenomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

87 citing papers in PubMed, 127 citations in OpenAlex.

  1. Article
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27 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 1 institution in 1 country.

Li WangProgram in Molecular Carcinogenesis, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Science Park, Smithville, TX 78957, USA.
Sharon Y R Dent
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Functions of Mammalian Histone ModifiersR01GM067718 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENT, SHARON Y. R. · 2003 to 2018
$3.7M
Defining USP22 Functions During Mammalian DevelopmentR01GM096472 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENT, SHARON Y. R. · 2012 to 2015
$1.3M
NCI NIH HHS P30 CA016672NIGMS NIH HHS GM067718NIGMS NIH HHS R01 GM067718NIGMS NIH HHS R01 GM096472
6 · The paper itself

Abstract

Precise regulation of gene expression programs during embryo development requires cooperation between transcriptional factors and histone-modifying enzymes, such as the Gcn5 histone acetyltransferase. Gcn5 functions within a multi-subunit complex, called SAGA, that is recruited to specific genes through interactions with sequence-specific DNA-binding proteins to aid in gene activation. Although the transcriptional programs regulated by SAGA in embryos are not well defined, deletion of either Gcn5 or USP22, the catalytic subunit of a deubiquitinase module in SAGA, leads to early embryonic lethality. Here, we review the known functions of Gcn5, USP22 and associated proteins during development and discuss how these functions might be related to human disease states, including cancer and neurodegenerative diseases.

Indexed as

Embryonic DevelopmentHumansNeoplasmsNeurodegenerative Diseasesp300-CBP-Associated Factorp300-CBP Transcription FactorsThiolester Hydrolasesp300-CBP-Associated Factorp300-CBP Transcription FactorsThiolester HydrolasesATAC complexcancerdevelopmentdifferentiationGcn5histone acetylationneurodegenerative diseasePCAFSAGAstem cellsUsp22

Identifiers

PMID25111486
PMCPMC4159956
OpenAlexW2106399721

What OpenQuestion holds

Textmetadata
LicenceTDM
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.