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A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
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Number of Authors: 8
2016 (English)In: Scientific Data, ISSN 1012-0602, E-ISSN 2052-4463, Vol. 3, 160103Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 3, 160103
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Other Natural Sciences
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URN: urn:nbn:se:su:diva-139313DOI: 10.1038/sdata.2016.103ISI: 000390238000001PubMedID: 27874850OAI: oai:DiVA.org:su-139313DiVA: diva2:1074140
Available from: 2017-02-14 Created: 2017-02-14 Last updated: 2017-02-14Bibliographically approved

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Lindvall, Jessica M.
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