Evidence map›Paper›PMID 23391100›Full record

SynthesisBMC genomics2013

Profiling and metaanalysis of epidermal keratinocytes responses to epidermal growth factor.

Miroslav Blumenberg

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. A recurrent de novo damaging variant inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  12. A cellular perspective of bias at G protein-coupled receptors.Protein science : a publication of the Protein Society · 2020
    Review
  13. Article
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  16. Article
  17. Article
  18. The Interaction Between Human Papillomaviruses and the Stromal Microenvironment.Progress in molecular biology and translational science · 2016
    Review
  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

1 author at 1 institution in 1 country.

Miroslav BlumenbergThe R. O. Perelman Department of Dermatology, Department of Biochemistry and Molecular Pharmacology, and the NYU Cancer Institute, NYU Langone Medical Center, 10016, New York, NY, USA. Miroslav.Blumenberg@nyumc.org
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne challenge of systems biology is the integration of new data into the preexisting, and then re-interpretation of the integrated data. Here we use readily available metaanalysis computational methods to integrate new data on the transcriptomic effects of EGF in primary human epidermal keratinocytes with preexisting transcriptomics data in keratinocytes and in EGF-treated non-epidermal cell types.

resultsWe find that EGF promotes keratinocyte proliferation, attachment and motility and, surprisingly, induces DUSPs that attenuate the EGF signal. Our metaanalysis identified overlapping effects of EGF with those of IL-1 and IFNγ, activators of keratinocyte in inflammation and wound healing. We also identified the genes and pathways suppressed by EGF but induced by agents promoting epidermal differentiation. Metaanalysis comparison with the EGF effects in other cell types identified extensive similarities between responses in keratinocytes and in other epithelial cell types, but specific differences with the EGF effects in endothelial cells, and in transformed, oncogenic epithelial cell lines.

conclusionsThis work defines the specific transcriptional effects of EGF on human epidermal keratinocytes. Our approach can serve as a suitable paradigm for integration of new omics data into preexisting databases and re-analysis of the integrated data sets.

Indexed as

Cell ProliferationEpidermal Growth FactorApoptosisCell DifferentiationCell MovementEpidermisGene Expression ProfilingHumansInterferon-gammaInterleukin-1KeratinocytesPrimary Cell CultureEpidermal Growth FactorInterferon-gammaInterleukin-1

Identifiers

PMID23391100
PMCPMC3608085
OpenAlexW2130019368

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.