Evidence map›Paper›PMID 27581768›Full record

ArticleScientific reports2016

Identification of p53-target genes in Danio rerio.

Barbara Mandriani, Stefano Castellana, Carmela Rinaldi, Marta Manzoni, Santina Venuto, Eva Rodriguez-Aznar, Juan Galceran, M Angela Nieto, Giuseppe Borsani, Eugenio Monti and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Biological Function of MicroRNA193a-3p in Health and Disease.International journal of genomics · 2017
    Review
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.

Barbara MandrianiMedical Genetics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, 71013, Italy.
Stefano CastellanaBioinformatics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza", San Giovanni Rotondo (FG), Italy.
Carmela RinaldiMedical Genetics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, 71013, Italy.
Marta ManzoniDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, 25123, Brescia, Italy.
Santina VenutoMedical Genetics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, 71013, Italy.
Eva Rodriguez-AznarInstituto de Neurociencias CSIC-UMH, Av. Ramon y Cajal s/n 03550 Sant Joan d'Alacant, Spain.
Juan GalceranInstituto de Neurociencias CSIC-UMH, Av. Ramon y Cajal s/n 03550 Sant Joan d'Alacant, Spain.
M Angela NietoInstituto de Neurociencias CSIC-UMH, Av. Ramon y Cajal s/n 03550 Sant Joan d'Alacant, Spain.
Giuseppe BorsaniDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, 25123, Brescia, Italy.
Eugenio MontiDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, 25123, Brescia, Italy.
Tommaso MazzaBioinformatics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza", San Giovanni Rotondo (FG), Italy.
Giuseppe MerlaMedical Genetics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, 71013, Italy.
Lucia MicaleMedical Genetics Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, 71013, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To orchestrate the genomic response to cellular stress signals, p53 recognizes and binds to DNA containing specific and well-characterized p53-responsive elements (REs). Differences in RE sequences can strongly affect the p53 transactivation capacity and occur even between closely related species. Therefore, the identification and characterization of a species-specific p53 Binding sistes (BS) consensus sequence and of the associated target genes may help to provide new insights into the evolution of the p53 regulatory networks across different species. Although p53 functions were studied in a wide range of species, little is known about the p53-mediated transcriptional signature in Danio rerio. Here, we designed and biochemically validated a computational approach to identify novel p53 target genes in Danio rerio genome. Screening all the Danio rerio genome by pattern-matching-based analysis, we found p53 RE-like patterns proximal to 979 annotated Danio rerio genes. Prioritization analysis identified a subset of 134 candidate pattern-related genes, 31 of which have been investigated in further biochemical assays. Our study identified runx1, axin1, traf4a, hspa8, col4a5, necab2, and dnajc9 genes as novel direct p53 targets and 12 additional p53-controlled genes in Danio rerio genome. The proposed combinatorial approach resulted to be highly sensitive and robust for identifying new p53 target genes also in additional animal species.

Indexed as

GenomeResponse ElementsTranscription, GeneticAnimalsAxin ProteinBase SequenceBinding SitesCalcium-Binding ProteinsCollagen Type IVCore Binding Factor Alpha 2 SubunitEvolution, MolecularGene Expression RegulationHSC70 Heat-Shock ProteinsHSP40 Heat-Shock ProteinsPromoter Regions, GeneticProtein BindingAxin1 protein, zebrafishAxin ProteinCalcium-Binding ProteinsCollagen Type IVCore Binding Factor Alpha 2 SubunitHSC70 Heat-Shock ProteinsHSP40 Heat-Shock Proteinshspa8 protein, zebrafishrunx1 protein, zebrafishTNF Receptor-Associated Factor 4Tumor Suppressor Protein p53Zebrafish Proteins

Identifiers

PMID27581768
PMCPMC5007497

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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.