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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.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 10 23%
Other 4 9%
Student > Master 3 7%
Student > Postgraduate 2 5%
Other 3 7%
Unknown 10 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 26%
Agricultural and Biological Sciences 7 16%
Medicine and Dentistry 7 16%
Immunology and Microbiology 3 7%
Computer Science 1 2%
Other 2 5%
Unknown 12 28%
Attention Score in Context

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
#18,576,001
of 23,007,887 outputs
Outputs from BMC Genomics
#8,227
of 10,698 outputs
Outputs of similar age
#253,908
of 331,365 outputs
Outputs of similar age from BMC Genomics
#153
of 198 outputs
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