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A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis
In angiogenesis with concurrent inflammation, many pathways are activated, some linked to VEGF and others largely VEGF-independent. Pathways involving inflammatory mediators, chemokines, and micro-RNAs may play important roles in maintaining a pro-angiogenic environment or mediating angiogenic regre...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5119432/ https://www.ncbi.nlm.nih.gov/pubmed/27874850 http://dx.doi.org/10.1038/sdata.2016.103 |
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author | Mukwaya, Anthony Lindvall, Jessica M. Xeroudaki, Maria Peebo, Beatrice Ali, Zaheer Lennikov, Anton Jensen, Lasse Dahl Ejby Lagali, Neil |
author_facet | Mukwaya, Anthony Lindvall, Jessica M. Xeroudaki, Maria Peebo, Beatrice Ali, Zaheer Lennikov, Anton Jensen, Lasse Dahl Ejby Lagali, Neil |
author_sort | Mukwaya, Anthony |
collection | PubMed |
description | In angiogenesis with concurrent inflammation, many pathways are activated, some linked to VEGF and others largely VEGF-independent. Pathways involving inflammatory mediators, chemokines, and micro-RNAs may play important roles in maintaining a pro-angiogenic environment or mediating angiogenic regression. Here, we describe a gene expression dataset to facilitate exploration of pro-angiogenic, pro-inflammatory, and remodelling/normalization-associated genes during both an active capillary sprouting phase, and in the restoration of an avascular phenotype. The dataset was generated by microarray analysis of the whole transcriptome in a rat model of suture-induced inflammatory corneal neovascularisation. Regions of active capillary sprout growth or regression in the cornea were harvested and total RNA extracted from four biological replicates per group. High quality RNA was obtained for gene expression analysis using microarrays. Fold change of selected genes was validated by qPCR, and protein expression was evaluated by immunohistochemistry. We provide a gene expression dataset that may be re-used to investigate corneal neovascularisation, and may also have implications in other contexts of inflammation-mediated angiogenesis. |
format | Online Article Text |
id | pubmed-5119432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51194322016-11-30 A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis Mukwaya, Anthony Lindvall, Jessica M. Xeroudaki, Maria Peebo, Beatrice Ali, Zaheer Lennikov, Anton Jensen, Lasse Dahl Ejby Lagali, Neil Sci Data Data Descriptor In angiogenesis with concurrent inflammation, many pathways are activated, some linked to VEGF and others largely VEGF-independent. Pathways involving inflammatory mediators, chemokines, and micro-RNAs may play important roles in maintaining a pro-angiogenic environment or mediating angiogenic regression. Here, we describe a gene expression dataset to facilitate exploration of pro-angiogenic, pro-inflammatory, and remodelling/normalization-associated genes during both an active capillary sprouting phase, and in the restoration of an avascular phenotype. The dataset was generated by microarray analysis of the whole transcriptome in a rat model of suture-induced inflammatory corneal neovascularisation. Regions of active capillary sprout growth or regression in the cornea were harvested and total RNA extracted from four biological replicates per group. High quality RNA was obtained for gene expression analysis using microarrays. Fold change of selected genes was validated by qPCR, and protein expression was evaluated by immunohistochemistry. We provide a gene expression dataset that may be re-used to investigate corneal neovascularisation, and may also have implications in other contexts of inflammation-mediated angiogenesis. Nature Publishing Group 2016-11-22 /pmc/articles/PMC5119432/ /pubmed/27874850 http://dx.doi.org/10.1038/sdata.2016.103 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Mukwaya, Anthony Lindvall, Jessica M. Xeroudaki, Maria Peebo, Beatrice Ali, Zaheer Lennikov, Anton Jensen, Lasse Dahl Ejby Lagali, Neil A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title | A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title_full | A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title_fullStr | A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title_full_unstemmed | A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title_short | A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
title_sort | microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5119432/ https://www.ncbi.nlm.nih.gov/pubmed/27874850 http://dx.doi.org/10.1038/sdata.2016.103 |
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