Evidence map›Paper›PMID 31178404›Full record

ArticleDevelopmental cell2019

The Spatiotemporal Pattern and Intensity of p53 Activation Dictates Phenotypic Diversity in p53-Driven Developmental Syndromes.

Margot E Bowen, Jacob McClendon, Hannah K Long, Aryo Sorayya, Jeanine L Van Nostrand, Joanna Wysocka, Laura D Attardi

Open access · bronzeAbstract read
In one paragraph

Article in Developmental cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 64 citations in OpenAlex.

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  6. From Genes to Disease: ReassessingInternational journal of molecular sciences · 2025
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  11. DNA damage and repair: underlying mechanisms leading to microcephaly.Frontiers in cell and developmental biology · 2023
    Review
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  14. Review
  15. Craniofacial Defects in Embryos with Homozygous Deletion ofInternational journal of molecular sciences · 2022
    Article
  16. Dynamic regulation and requirement for ribosomal RNA transcription during mammalian development.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Margot E BowenDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jacob McClendonDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Hannah K LongDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Aryo SorayyaDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jeanine L Van NostrandDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Joanna WysockaDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institue, Stanford University School of Medicine, Stanford, CA 94305, USA.
Laura D AttardiDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: attardi@stanford.edu.
Stanford University · USHoward Hughes Medical Institute · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Integrative approaches to elucidate p53 transcriptional networks during carcinogenesisR35CA197591 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI · 2015 to 2026
$11.6M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA124435NCI NIH HHS R35 CA197591Wellcome TrustWellcome Trust 106051/Z/14/Z
6 · The paper itself

Abstract

Inappropriate activation of the p53 transcription factor contributes to numerous developmental syndromes characterized by distinct constellations of phenotypes. How p53 drives exquisitely specific sets of symptoms in diverse syndromes, however, remains enigmatic. Here, we deconvolute the basis of p53-driven developmental syndromes by leveraging an array of mouse strains to modulate the spatial expression pattern, temporal profile, and magnitude of p53 activation during embryogenesis. We demonstrate that inappropriate p53 activation in the neural crest, facial ectoderm, anterior heart field, and endothelium induces distinct spectra of phenotypes. Moreover, altering the timing and degree of p53 hyperactivation substantially affects the phenotypic outcomes. Phenotypes are associated with p53-driven cell-cycle arrest or apoptosis, depending on the cell type, with gene expression programs, rather than extent of mitochondrial priming, largely governing the specific response. Together, our findings provide a critical framework for decoding the role of p53 as a mediator of diverse developmental syndromes.

Indexed as

Embryonic DevelopmentGene Expression Regulation, DevelopmentalSpatio-Temporal AnalysisAnimalsApoptosisCardiovascular DiseasesCell Cycle CheckpointsEmbryo, MammalianFemaleMaleMiceMice, Inbred C57BLMice, KnockoutMitochondriaNeural CrestPhenotypeTrp53 protein, mouseTumor Suppressor Protein p53apoptosiscardiovascularcongenital defectcraniofacialdevelopmentembryoMdm2neural crestp53syndrome

Identifiers

PMID31178404
PMCPMC6650355
OpenAlexW2948339420

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.