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Transcriptomic responses to wounding: meta-analysis of gene expression microarray data
BACKGROUND: 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 t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678747/ https://www.ncbi.nlm.nih.gov/pubmed/29115927 http://dx.doi.org/10.1186/s12864-017-4202-8 |
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author | Sass, Piotr Andrzej Dąbrowski, Michał Charzyńska, Agata Sachadyn, Paweł |
author_facet | Sass, Piotr Andrzej Dąbrowski, Michał Charzyńska, Agata Sachadyn, Paweł |
author_sort | Sass, Piotr Andrzej |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4202-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5678747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56787472017-11-17 Transcriptomic responses to wounding: meta-analysis of gene expression microarray data Sass, Piotr Andrzej Dąbrowski, Michał Charzyńska, Agata Sachadyn, Paweł BMC Genomics Research Article BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4202-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-07 /pmc/articles/PMC5678747/ /pubmed/29115927 http://dx.doi.org/10.1186/s12864-017-4202-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sass, Piotr Andrzej Dąbrowski, Michał Charzyńska, Agata Sachadyn, Paweł Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title | Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title_full | Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title_fullStr | Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title_full_unstemmed | Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title_short | Transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
title_sort | transcriptomic responses to wounding: meta-analysis of gene expression microarray data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678747/ https://www.ncbi.nlm.nih.gov/pubmed/29115927 http://dx.doi.org/10.1186/s12864-017-4202-8 |
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