Evidence map›Paper›PMID 24076587›Full record

ArticleCell death and differentiation2014

Mapping the p53 transcriptome universe using p53 natural polymorphs.

B Wang, D Niu, T H Lam, Z Xiao, E C Ren

Open access · bronzeAbstract read
In one paragraph

Article in Cell death and differentiation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  3. The Ashkenazi-Centric G334R Variant ofMolecular and cellular biology · 2024
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  6. Article
  7. Review
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  9. Article
  10. 20(Acta pharmaceutica Sinica. B · 2020
    Article
  11. Article
  12. Analysis of theInternational journal of molecular sciences · 2019
    Article
  13. Article
  14. Revealing a human p53 universe.Nucleic acids research · 2018
    Article
  15. Review
  16. Treatment-associatedOncotarget · 2018
    Article
  17. Review
  18. Article
  19. RareNPJ genomic medicine · 2018
    Article
  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

5 authors at 2 institutions in 1 country.

B WangSingapore Immunology Network, A*STAR, 8A Biomedical Grove, 138648 Singapore.
D NiuSingapore Immunology Network, A*STAR, 8A Biomedical Grove, 138648 Singapore.
T H Lam1] Singapore Immunology Network, A*STAR, 8A Biomedical Grove, 138648 Singapore [2] Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, 117597 Singapore.
Z XiaoSingapore Immunology Network, A*STAR, 8A Biomedical Grove, 138648 Singapore.
E C Ren1] Singapore Immunology Network, A*STAR, 8A Biomedical Grove, 138648 Singapore [2] Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, 117597 Singapore.
Singapore Immunology Network · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor p53 has defined roles in varied cellular processes including apoptosis and DNA repair. While conventional genomic approaches have suggested a large number of p53 targets, there is a need for a systematic approach to validate these putative genes. We developed a method to identify and validate p53's transcriptional behavior by utilizing 16 non-synonymous p53 single-nucleotide polymorphism (SNP) variants. Five SNPs located within the DNA-binding domain of p53 were found to be functionally null, whereas the other 11 SNPs were p53WT-like in behavior. By integrating p53 ChIP-seq analysis with transcriptome data from the p53 SNP variants, 592 genes were identified as novel p53 targets. Many of these genes mapped to previously less well-characterized aspects of p53 function, such as cell signalling, metabolism, central nervous system, and immune system. These data provide pivotal insights into the involvement of p53 in diverse pathways of normal physiological processes and open new avenues for investigation of p53 function.

Indexed as

Antibiotics, AntineoplasticCell ProliferationChromatin ImmunoprecipitationDNADoxorubicinGene Regulatory NetworksHCT116 CellsHumansPolymorphism, Single NucleotideProtein BindingProtein Structure, TertiaryRNA InterferenceRNA, MessengerRNA, Small InterferingSequence Analysis, DNASTAT4 Transcription FactorAntibiotics, AntineoplasticDNADoxorubicinRNA, MessengerRNA, Small InterferingSTAT4 Transcription FactorTumor Suppressor Protein p53

Identifiers

PMID24076587
PMCPMC3950315
OpenAlexW2037030814

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.