Evidence map›Paper›PMID 28825732›Full record

ArticleNature structural & molecular biology2017

p53 pulses lead to distinct patterns of gene expression albeit similar DNA-binding dynamics.

Antonina Hafner, Jacob Stewart-Ornstein, Jeremy E Purvis, William C Forrester, Martha L Bulyk, Galit Lahav

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–field-weighted citation impact
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

76 citing papers in PubMed.

  1. Article
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  11. Identify Non-mutational p53 Functional Deficiency in Human Cancers.Genomics, proteomics & bioinformatics · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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  18. Article
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  20. Review

16 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

6 authors.

Antonina HafnerDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-4927-5227
Jacob Stewart-OrnsteinDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Jeremy E PurvisDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
William C ForresterDevelopmental and Molecular Pathways, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Martha L BulykDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Galit LahavDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-4758-6427

Funding

Dynamics of Signaling Pathways: Mechanism and FunctionR01GM083303 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2008 to 2020
$5.2M
Universal, Compact Combinatorial Microarrays for DNA Binding Site DiscoveryR01HG003985 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2006 to 2017
$4.9M
Dynamics of Cellular Senescence in Single CellsR01GM116864 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2017 to 2020
$1.6M
Dynamics of cellular senescence in single human cells Admin SupplementR00GM102372 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PURVIS, JEREMY · 2013 to 2015
$886k
Defining and manipulating quiescence associated DNA damage resistance in single cellsR00CA207727 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEWART-ORNSTEIN, JACOB · 2019 to 2021
$735k
Defining and manipulating quiescence associated DNA damage resistance in single cellsK99CA207727 · NCI · HARVARD MEDICAL SCHOOL · PI STEWART-ORNSTEIN, JACOB · 2016 to 2017
$332k
Dynamics of cellular senescence in single human cellsK99GM102372 · NIGMS · HARVARD MEDICAL SCHOOL · PI PURVIS, JEREMY · 2012 to 2012
$90k
NCI NIH HHS K99 CA207727NCI NIH HHS R00 CA207727NHGRI NIH HHS R01 HG003985NIGMS NIH HHS K99 GM102372NIGMS NIH HHS R00 GM102372NIGMS NIH HHS R01 GM083303NIGMS NIH HHS R01 GM116864
6 · The paper itself

Abstract

The dynamics of transcription factors play important roles in a variety of biological systems. However, the mechanisms by which these dynamics are decoded into different transcriptional responses are not well understood. Here we focus on the dynamics of the tumor-suppressor protein p53, which exhibits a series of pulses in response to DNA damage. We performed time course RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) measurements to determine how p53 oscillations are linked with gene expression genome wide. We discovered multiple distinct patterns of gene expression in response to p53 pulses. Surprisingly, p53-binding dynamics were uniform across all genomic loci, even for genes that exhibited distinct mRNA dynamics. Using a mathematical model, supported by additional experimental measurements in response to sustained p53 input, we determined that p53 binds to and activates transcription of its target genes uniformly, whereas post-transcriptional mechanisms are responsible for the differences in gene expression dynamics.

Indexed as

DNA DamageGene Expression ProfilingTranscription, GeneticChromatin ImmunoprecipitationDNAHumansMCF-7 CellsModels, TheoreticalProtein BindingSequence Analysis, RNATumor Suppressor Protein p53DNATumor Suppressor Protein p53

Identifiers

PMID28825732
PMCPMC5629117

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Registered trials

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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.