Evidence map›Paper›PMID 27874850›Full record

ArticleScientific data2016

A microarray whole-genome gene expression dataset in a rat model of inflammatory corneal angiogenesis.

Anthony Mukwaya, Jessica M Lindvall, Maria Xeroudaki, Beatrice Peebo, Zaheer Ali, Anton Lennikov, Lasse Dahl Ejby Jensen, Neil Lagali

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Anthony MukwayaDepartment of Ophthalmology, Institute for Clinical and Experimental Medicine, Faculty of Health Sciences, Linkoping University, Linköping 58183, Sweden.
Jessica M LindvallNational Bioinformatics Infrastructure Sweden (NBIS) Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm S-10691, Sweden.
Maria XeroudakiDepartment of Ophthalmology, Institute for Clinical and Experimental Medicine, Faculty of Health Sciences, Linkoping University, Linköping 58183, Sweden.
Beatrice PeeboDepartment of Ophthalmology, Institute for Clinical and Experimental Medicine, Faculty of Health Sciences, Linkoping University, Linköping 58183, Sweden.
Zaheer AliDepartment of Medical and Health Sciences, Division of Cardiovascular Medicine, Linköping University, Linköping 581 83, Sweden.
Anton LennikovDepartment of Ophthalmology, Institute for Clinical and Experimental Medicine, Faculty of Health Sciences, Linkoping University, Linköping 58183, Sweden.
Lasse Dahl Ejby JensenDepartment of Medical and Health Sciences, Division of Cardiovascular Medicine, Linköping University, Linköping 581 83, Sweden.
Neil LagaliDepartment of Ophthalmology, Institute for Clinical and Experimental Medicine, Faculty of Health Sciences, Linkoping University, Linköping 58183, Sweden.ORCID 0000-0003-1079-4361
Linköping University · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gene ExpressionAnimalsCorneal NeovascularizationDisease Models, AnimalGenomeMicroarray AnalysisNeovascularization, PathologicRats

Identifiers

PMID27874850
PMCPMC5119432
OpenAlexW2551878461

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.