Evidence map›Paper›PMID 26354149›Full record

ArticleThe Journal of investigative dermatology2015

Global Gene Expression Analysis in PKCα-/- Mouse Skin Reveals Structural Changes in the Dermis and Defective Wound Granulation Tissue.

Nichola H Cooper, Jeya P Balachandra, Matthew J Hardman

Open access · bronzeAbstract read
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In one paragraph

Article in The Journal of investigative dermatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Nichola H CooperThe Healing Foundation Centre, Faculty of Life Sciences, University of Manchester, Manchester, UK; Institute of Medical Biology, Epithelial Epigenetics Laboratory, Agency for Science, Technology and Research, Singapore, Singapore.
Jeya P BalachandraThe Healing Foundation Centre, Faculty of Life Sciences, University of Manchester, Manchester, UK.
Matthew J HardmanThe Healing Foundation Centre, Faculty of Life Sciences, University of Manchester, Manchester, UK. Electronic address: matthew.j.hardman@manchester.ac.uk.
LGBT Foundation · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin's mechanical integrity is maintained by an organized and robust dermal extracellular matrix (ECM). Resistance to mechanical disruption hinges primarily on homeostasis of the dermal collagen fibril architecture, which is regulated, at least in part, by members of the small leucine-rich proteoglycan (SLRP) family. Here we present data linking protein kinase C alpha (PKCα) to the regulated expression of multiple ECM components including SLRPs. Global microarray profiling reveals deficiencies in ECM gene expression in PKCα-/- skin correlating with abnormal collagen fibril morphology, disorganized dermal architecture, and reduced skin strength. Detailed analysis of the skin and wounds from wild-type and PKCα-/- mice reveals a failure to upregulate collagen and other ECM components in response to injury, resulting in delayed granulation tissue deposition in PKCα-/- wounds. Thus, our data reveal a previously unappreciated role for PKCα in the regulation of ECM structure and deposition during skin wound healing.

Indexed as

Wound HealingAnimalsCollagenDermisExtracellular MatrixFemaleGranulation TissueMiceMice, Inbred C57BLProtein Kinase C-alphaProteoglycansTensile StrengthCollagenPrkca protein, mouseProtein Kinase C-alphaProteoglycans

Identifiers

PMID26354149
OpenAlexW2282370010

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.