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Transcriptomic responses to wounding: meta-analysis of gene expression microarray data

Overview of attention for article published in BMC Genomics, November 2017
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Title
Transcriptomic responses to wounding: meta-analysis of gene expression microarray data
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4202-8
Pubmed ID
Authors

Piotr Andrzej Sass, Michał Dąbrowski, Agata Charzyńska, Paweł Sachadyn

Abstract

A vast amount of microarray data on transcriptomic response to injury has been collected so far. We designed the analysis in order to identify the genes displaying significant changes in expression after wounding in different organisms and tissues. This meta-analysis is the first study to compare gene expression profiles in response to wounding in as different tissues as heart, liver, skin, bones, and spinal cord, and species, including rat, mouse and human. We collected available microarray transcriptomic profiles obtained from different tissue injury experiments and selected the genes showing a minimum twofold change in expression in response to wounding in prevailing number of experiments for each of five wound healing stages we distinguished: haemostasis & early inflammation, inflammation, early repair, late repair and remodelling. During the initial phases after wounding, haemostasis & early inflammation and inflammation, the transcriptomic responses showed little consistency between different tissues and experiments. For the later phases, wound repair and remodelling, we identified a number of genes displaying similar transcriptional responses in all examined tissues. As revealed by ontological analyses, activation of certain pathways was rather specific for selected phases of wound healing, such as e.g. responses to vitamin D pronounced during inflammation. Conversely, we observed induction of genes encoding inflammatory agents and extracellular matrix proteins in all wound healing phases. Further, we selected several genes differentially upregulated throughout different stages of wound response, including established factors of wound healing in addition to those previously unreported  in this context such as PTPRC and AQP4. We found that transcriptomic responses to wounding showed similar traits in a diverse selection of tissues including skin, muscles, internal organs and nervous system. Notably, we distinguished transcriptional induction of inflammatory genes not only in the initial response to wounding, but also later, during wound repair and tissue remodelling.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Researcher 7 30%
Other 2 9%
Student > Bachelor 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 4 17%
Immunology and Microbiology 2 9%
Computer Science 1 4%
Other 2 9%
Unknown 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2017.
All research outputs
#9,695,332
of 12,124,842 outputs
Outputs from BMC Genomics
#5,562
of 7,136 outputs
Outputs of similar age
#206,937
of 285,257 outputs
Outputs of similar age from BMC Genomics
#367
of 534 outputs
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