Evidence map›Paper›PMID 26209520›Full record

ArticleBMC systems biology2015

Regulation of ERK-MAPK signaling in human epidermis.

Joseph Cursons, Jerry Gao, Daniel G Hurley, Cristin G Print, P Rod Dunbar, Marc D Jacobs, Edmund J Crampin

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 21% 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, 45 citations in OpenAlex.

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  14. Cell signaling model for arterial mechanobiology.PLoS computational biology · 2020
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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

7 authors at 3 institutions in 2 countries.

Joseph CursonsSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia. joseph.cursons@unimelb.edu.au.
Jerry GaoSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia. jerry.gao@unimelb.edu.au.
Daniel G HurleySystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia. daniel.hurley@unimelb.edu.au.
Cristin G PrintMaurice Wilkins Centre, University of Auckland, Auckland, New Zealand. c.print@auckland.ac.nz.
P Rod DunbarMaurice Wilkins Centre, University of Auckland, Auckland, New Zealand. r.dunbar@auckland.ac.nz.
Marc D JacobsDepartment of Biology, New Zealand International College, ACG New Zealand, Auckland, New Zealand. marc.jacobs@gmx.com.
Edmund J CrampinSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia. edmund.crampin@unimelb.edu.au.
University of Auckland · NZLaidlaw College · NZThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe skin is largely comprised of keratinocytes within the interfollicular epidermis. Over approximately two weeks these cells differentiate and traverse the thickness of the skin. The stage of differentiation is therefore reflected in the positions of cells within the tissue, providing a convenient axis along which to study the signaling events that occur in situ during keratinocyte terminal differentiation, over this extended two-week timescale. The canonical ERK-MAPK signaling cascade (Raf-1, MEK-1/2 and ERK-1/2) has been implicated in controlling diverse cellular behaviors, including proliferation and differentiation. While the molecular interactions involved in signal transduction through this cascade have been well characterized in cell culture experiments, our understanding of how this sequence of events unfolds to determine cell fate within a homeostatic tissue environment has not been fully characterized.

methodsWe measured the abundance of total and phosphorylated ERK-MAPK signaling proteins within interfollicular keratinocytes in transverse cross-sections of human epidermis using immunofluorescence microscopy. To investigate these data we developed a mathematical model of the signaling cascade using a normalized-Hill differential equation formalism.

resultsThese data show coordinated variation in the abundance of phosphorylated ERK-MAPK components across the epidermis. Statistical analysis of these data shows that associations between phosphorylated ERK-MAPK components which correspond to canonical molecular interactions are dependent upon spatial position within the epidermis. The model demonstrates that the spatial profile of activation for ERK-MAPK signaling components across the epidermis may be maintained in a cell-autonomous fashion by an underlying spatial gradient in calcium signaling.

conclusionsOur data demonstrate an extended phospho-protein profile of ERK-MAPK signaling cascade components across the epidermis in situ, and statistical associations in these data indicate canonical ERK-MAPK interactions underlie this spatial profile of ERK-MAPK activation. Using mathematical modelling we have demonstrated that spatially varying calcium signaling components across the epidermis may be sufficient to maintain the spatial profile of ERK-MAPK signaling cascade components in a cell-autonomous manner. These findings may have significant implications for the wide range of cancer drugs which therapeutically target ERK-MAPK signaling components.

Indexed as

MAP Kinase Signaling SystemEpidermal CellsEpidermisExtracellular Signal-Regulated MAP KinasesHumansKeratinocytesMitogen-Activated Protein KinasesPhosphorylationExtracellular Signal-Regulated MAP KinasesMitogen-Activated Protein Kinases

Identifiers

PMID26209520
PMCPMC4514964
OpenAlexW1931108422

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.