Evidence map›Paper›PMID 25501595›Full record

ArticleCell death and differentiation2015

p53 suppresses muscle differentiation at the myogenin step in response to genotoxic stress.

Z J P Yang, D Kenzelmann Broz, W L Noderer, J P Ferreira, K W Overton, S L Spencer, T Meyer, S J Tapscott, L D Attardi, C L Wang

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell death and differentiation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. A systematic review of p53 regulation of oxidative stress in skeletal muscle.Redox report : communications in free radical research · 2018
    Pooled it
  2. Lrrc75b is a novel negative regulator of C2C12 myogenic differentiation.International journal of molecular medicine · 2016
    Pooled it
  3. Review
  4. Dynamic increases in p53 expression suppress human myoblast differentiation.Frontiers in cell and developmental biology · 2026
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  18. The Effects of Muscle Cell Aging on Myogenesis.International journal of molecular sciences · 2021
    Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Z J P YangDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
D Kenzelmann BrozDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
W L NodererDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
J P FerreiraDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
K W OvertonDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
S L SpencerDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
T MeyerDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
S J TapscottHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
L D Attardi1] Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA [2] Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
C L WangDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Stanford University · USFred Hutch Cancer Center · US

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
LINEAGE DETERMINATION IN MUSCLER01AR045113 · NIAMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TAPSCOTT, STEPHEN J · 1998 to 2017
$6.8M
REGULATION OF CA++/CALMODULIN KINASE BY NEUROTRANSMITTERR01GM030179 · NIGMS · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 1985 to 2018
$4.9M
MOLECULAR DYNAMICS IN CELLULAR AGING: A SYNTHETIC BIOLOGY APPROACH.R21AG040360 · NIA · STANFORD UNIVERSITY · PI WANG, CLIFFORD LEE · 2011 to 2012
$356k
NIAMS NIH HHS R01 AR045113NIA NIH HHS 5R21AG040360-02NIA NIH HHS R21 AG040360NIGMS NIH HHS P50 GM107615NIGMS NIH HHS R01 GM030179
6 · The paper itself

Abstract

Acute muscle injury and physiological stress from chronic muscle diseases and aging lead to impairment of skeletal muscle function. This raises the question of whether p53, a cellular stress sensor, regulates muscle tissue repair under stress conditions. By investigating muscle differentiation in the presence of genotoxic stress, we discovered that p53 binds directly to the myogenin promoter and represses transcription of myogenin, a member of the MyoD family of transcription factors that plays a critical role in driving terminal muscle differentiation. This reduction of myogenin protein is observed in G1-arrested cells and leads to decreased expression of late but not early differentiation markers. In response to acute genotoxic stress, p53-mediated repression of myogenin reduces post-mitotic nuclear abnormalities in terminally differentiated cells. This study reveals a mechanistic link previously unknown between p53 and muscle differentiation, and suggests new avenues for managing p53-mediated stress responses in chronic muscle diseases or during muscle aging.

Indexed as

Amino Acid SequenceAnimalsBase SequenceCell DifferentiationCell LineCyclin-Dependent Kinase Inhibitor p21G1 Phase Cell Cycle CheckpointsHumansMiceMuscle, SkeletalMyoD ProteinMyogeninPromoter Regions, GeneticProtein BindingTranscription, GeneticTumor Suppressor Protein p53Cyclin-Dependent Kinase Inhibitor p21MyoD ProteinMyogeninTumor Suppressor Protein p53

Identifiers

PMID25501595
PMCPMC4356341
OpenAlexW1967966408

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.