Open this publication in new window or tab >>Show others...
2016 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 3, article id UNSP 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
NATURE PUBLISHING GROUP, 2016
National Category
Oceanography, Hydrology and Water Resources
Identifiers
urn:nbn:se:liu:diva-133892 (URN)10.1038/sdata.2016.103 (DOI)000390238000001 ()27874850 (PubMedID)
Note
Funding Agencies|Swedish Research Council [2012-2472]; Bayer HealthCare AB, Solna, Sweden; Bioinformatics Infrastructure for Life Sciences (BILS) Sweden
The publication is a peer-reviewed description of a research dataset. Aims and scope of the journal:Scientific Data primarily publishes Data Descriptors, a new type of publication that provides detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses.
2017-01-132017-01-132018-05-21