Evidence map›Paper›PMID 24926617›Full record

ArticleCell death and differentiation2014

p53-directed translational control can shape and expand the universe of p53 target genes.

S Zaccara, T Tebaldi, C Pederiva, Y Ciribilli, A Bisio, A Inga

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 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
3.0field-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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Shared gene targets of the ATF4 and p53 transcriptional networks.bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
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  13. iScience · 2021
    Article
  14. Review
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  17. Article
  18. Article
  19. Review
  20. Translation control can shape TP53-dependent cell fate.Molecular & cellular oncology · 2020
    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 1 institution in 1 country.

S ZaccaraLaboratory of Transcriptional Networks, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
T TebaldiLaboratory of Translational Genomics, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
C PederivaLaboratory of Transcriptional Networks, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Y CiribilliLaboratory of Transcriptional Networks, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
A BisioLaboratory of Transcriptional Networks, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
A IngaLaboratory of Transcriptional Networks, Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.ORCID 0000000287671637
University of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of genome-wide transcriptome analyses focusing on p53-induced cellular responses in many cellular contexts keeps adding to the already numerous p53-regulated transcriptional networks. To investigate post-transcriptional controls as an additional dimension of p53-directed gene expression responses, we performed a translatome analysis through polysomal profiling on MCF7 cells upon 16 hours of doxorubicin or nutlin-3a treatment. The comparison between the transcriptome and the translatome revealed a considerable level of uncoupling, characterized by genes whose transcription variations did not correlate with translation variations. Interestingly, uncoupled genes were associated with apoptosis, DNA and RNA metabolism and cell cycle functions, suggesting that post-transcriptional control can modulate classical p53-regulated responses. Furthermore, even for well-established p53 targets that were differentially expressed both at the transcriptional and translational levels, quantitative differences between the transcriptome, subpolysomal and polysomal RNAs were evident. As we searched mechanisms underlying gene expression uncoupling, we identified the p53-dependent modulation of six RNA-binding proteins, where hnRNPD (AUF1) and CPEB4 are direct p53 transcriptional targets, whereas SRSF1, DDX17, YBX1 and TARDBP are indirect targets (genes modulated preferentially in the subpolysomal or polysomal mRNA level) modulated at the translational level in a p53-dependent manner. In particular, YBX1 translation appeared to be reduced by p53 via two different mechanisms, one related to mTOR inhibition and the other to miR-34a expression. Overall, we established p53 as a master regulator of translational control and identified new p53-regulated genes affecting translation that can contribute to p53-dependent cellular responses.

Indexed as

ApoptosisCell CycleCell Line, TumorDEAD-box RNA HelicasesDNADNA-Binding ProteinsDoxorubicinGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous Nuclear Ribonucleoprotein D0HumansImidazolesMCF-7 CellsNuclear ProteinsCPEB4 protein, humanDDX17 protein, humanDEAD-box RNA HelicasesDNADNA-Binding ProteinsDoxorubicinHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous Nuclear Ribonucleoprotein D0HNRNPD protein, humanImidazolesNuclear Proteinsnutlin 3PiperazinesRNARNA-Binding ProteinsRNA, MessengerRNA, Small InterferingSerine-Arginine Splicing FactorsTumor Suppressor Protein p53Y-Box-Binding Protein 1YBX1 protein, human

Identifiers

PMID24926617
PMCPMC4158691
OpenAlexW2001184319

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.