Evidence map›Paper›PMID 30107566›Full record

ArticleNucleic acids research2018

Revealing a human p53 universe.

Thuy-Ai T Nguyen, Sara A Grimm, Pierre R Bushel, Jianying Li, Yuanyuan Li, Brian D Bennett, Christopher A Lavender, James M Ward, David C Fargo, Carl W Anderson and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

70 citing papers in PubMed, 101 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. A molecular mechanism for the "digital" response of p53 to stress.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article

10 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

13 authors at 1 institution in 1 country.

Thuy-Ai T NguyenGenome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Sara A GrimmIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Pierre R BushelBiostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Jianying LiIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Yuanyuan LiBiostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Brian D BennettIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Christopher A LavenderIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
James M WardIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
David C FargoIntegrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Carl W AndersonGenome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Leping LiBiostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Michael A ResnickGenome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
Daniel MenendezGenome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.
National Institutes of Health · US

Funding

BioinformaticsZIAES101765 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, LEPING · 2009 to 2025
$21.0M
Human Genes Affecting Chromosome Metabolism and Stress ResponseZIAES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MENENDEZ RENDON, DANIEL · 2009 to 2021
$12.5M
Microarray and Genome InformaticsZIAES102345 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BUSHEL, ROBERT · 2009 to 2021
$10.8M
Computational systems enhancing the understanding of genomic and epigenomic features that define and differentiate chromatin environments at promoters and enhancersZIAES103312 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FARGO, DAVID · 2016 to 2020
$3.7M
Microarray and Genome InformaticsZ01ES102345 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BUSHEL, PIERRE · 2007 to 2008
$2.5M
ISOLATION &CHARACTERIZATION OF GENES AFFECTING YEAST CHROMOSOME METABOLISMZ01ES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNICK, MICHAEL A · 1994 to 2008
$1.8M
BioinformaticsZ01ES101765 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, LEPING · 2004 to 2008
$1.1M
Intramural NIH HHS Z01 ES065079Intramural NIH HHS Z01 ES101765Intramural NIH HHS Z01 ES102345NIEHS NIH HHS Z01-ES065079NIEHS NIH HHS Z01 ES101765NIEHS NIH HHS Z01 ES102345NIEHS NIH HHS ZIA ES103312
6 · The paper itself

Abstract

p53 transcriptional networks are well-characterized in many organisms. However, a global understanding of requirements for in vivo p53 interactions with DNA and relationships with transcription across human biological systems in response to various p53 activating situations remains limited. Using a common analysis pipeline, we analyzed 41 data sets from genome-wide ChIP-seq studies of which 16 have associated gene expression data, including our recent primary data with normal human lymphocytes. The resulting extensive analysis, accessible at p53 BAER hub via the UCSC browser, provides a robust platform to characterize p53 binding throughout the human genome including direct influence on gene expression and underlying mechanisms. We establish the impact of spacers and mismatches from consensus on p53 binding in vivo and propose that once bound, neither significantly influences the likelihood of expression. Our rigorous approach revealed a large p53 genome-wide cistrome composed of >900 genes directly targeted by p53. Importantly, we identify a core cistrome signature composed of genes appearing in over half the data sets, and we identify signatures that are treatment- or cell-specific, demonstrating new functions for p53 in cell biology. Our analysis reveals a broad homeostatic role for human p53 that is relevant to both basic and translational studies.

Indexed as

Transcription, GeneticDatabases, GeneticDNA-Binding ProteinsDNA, IntergenicGene Expression RegulationGenesGenome, HumanHumansLymphocytesProtein BiosynthesisTumor Suppressor Protein p53DNA-Binding ProteinsDNA, IntergenicTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID30107566
PMCPMC6144829
OpenAlexW2886286091

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.