Evidence map›Paper›PMID 32133495›Full record

ArticleNucleic acids research2020

Locally acting transcription factors regulate p53-dependent cis-regulatory element activity.

Allison N Catizone, Gizem Karsli Uzunbas, Petra Celadova, Sylvia Kuang, Daniel Bose, Morgan A Sammons

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. 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. Article
  11. Shared gene targets of the ATF4 and p53 transcriptional networks.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. p63 and p53: Collaborative Partners or Dueling Rivals?Frontiers in cell and developmental biology · 2021
    Review
  19. Review
  20. Article
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 at 2 institutions in 2 countries.

Allison N CatizoneDepartment of Biological Sciences and the RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Gizem Karsli UzunbasDepartment of Biological Sciences and the RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Petra CeladovaSheffield Institute For Nucleic Acids (SInFoNiA) and Department of Molecular Biology and Biotechnology, The University of Sheffield, Firth Court, Western Bank, Sheffield S10 2TN, UK.
Sylvia KuangDepartment of Biological Sciences and the RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Daniel BoseSheffield Institute For Nucleic Acids (SInFoNiA) and Department of Molecular Biology and Biotechnology, The University of Sheffield, Firth Court, Western Bank, Sheffield S10 2TN, UK.
Morgan A SammonsDepartment of Biological Sciences and the RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Albany State University · USUniversity of Sheffield · GB

Funding

Molecular mechanisms regulating the establishment of cis-regulatory elements by the transcription factor p63R15GM128049 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI SAMMONS, MORGAN ANDREW · 2018 to 2018
$450k
NIGMS NIH HHS R15 GM128049Wellcome TrustWellcome Trust 213501/Z/18/Z
6 · The paper itself

Abstract

The master tumor suppressor p53 controls transcription of a wide-ranging gene network involved in apoptosis, cell cycle arrest, DNA damage repair, and senescence. Recent studies revealed pervasive binding of p53 to cis-regulatory elements (CREs), which are non-coding segments of DNA that spatially and temporally control transcription through the combinatorial binding of local transcription factors. Although the role of p53 as a strong trans-activator of gene expression is well known, the co-regulatory factors and local sequences acting at p53-bound CREs are comparatively understudied. We designed and executed a massively parallel reporter assay (MPRA) to investigate the effect of transcription factor binding motifs and local sequence context on p53-bound CRE activity. Our data indicate that p53-bound CREs are both positively and negatively affected by alterations in local sequence context and changes to co-regulatory TF motifs. Our data suggest p53 has the flexibility to cooperate with a variety of transcription factors in order to regulate CRE activity. By utilizing different sets of co-factors across CREs, we hypothesize that global p53 activity is guarded against loss of any one regulatory partner, allowing for dynamic and redundant control of p53-mediated transcription.

Indexed as

Regulatory Elements, TranscriptionalTranscriptional ActivationAnimalsCell Line, TumorCells, CulturedCyclin G1Growth Differentiation Factor 15HumansImidazolesMiceNucleotide MotifsPiperazinesTranscription FactorsTranscription, GeneticTumor Suppressor Protein p53Cyclin G1Growth Differentiation Factor 15Imidazolesnutlin 3PiperazinesTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53

Identifiers

PMID32133495
PMCPMC7192610
OpenAlexW3010046528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.