Evidence map›Paper›PMID 19390658›Full record

ArticlePloS one2009

Transcriptional network of p63 in human keratinocytes.

Silvia Pozzi, Federico Zambelli, Daniele Merico, Giulio Pavesi, Amélie Robert, Peggy Maltère, Xavier Gidrol, Roberto Mantovani, M Alessandra Vigano

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  5. Review
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  9. Article
  10. The wind rose of human keratinocyte cell fate.Cellular and molecular life sciences : CMLS · 2014
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Regulation of skin aging and heart development by TAp63.Cell death and differentiation · 2012
    Review
  17. Article
  18. Article
  19. 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

9 authors at 3 institutions in 2 countries.

Silvia PozziDepartment of Biomolecular Sciences and Biotechnologies, University of Milan, Milan, Italy.
Federico Zambelli
Daniele Merico
Giulio Pavesi
Amélie Robert
Peggy Maltère
Xavier Gidrol
Roberto Mantovani
M Alessandra Vigano
University of Milan · ITCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRÉvolution, Génomes, Comportement, Écologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p63 is a transcription factor required for the development and maintenance of ectodermal tissues in general, and skin keratinocytes in particular. The identification of its target genes is fundamental for understanding the complex network of gene regulation governing the development of epithelia. We report a list of almost 1000 targets derived from ChIP on chip analysis on two platforms; all genes analyzed changed in expression during differentiation of human keratinocytes. Functional annotation highlighted unexpected GO terms enrichments and confirmed that genes involved in transcriptional regulation are the most significant. A detailed analysis of these transcriptional regulators in condition of perturbed p63 levels confirmed the role of p63 in the regulatory network. Rather than a rigid master-slave hierarchical model, our data indicate that p63 connects different hubs involved in the multiple specific functions of the skin.

Indexed as

Gene Expression RegulationEctodermEpitheliumGene Regulatory NetworksHumansKeratinocytesSkinTrans-ActivatorsTranscription FactorsTumor Suppressor ProteinsTP63 protein, humanTrans-ActivatorsTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID19390658
PMCPMC2672041
OpenAlexW2045249783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.