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The immune system of the horse has not been well studied, despite the fact that the horse displays several features such as sensitivity to bacterial lipopolysaccharide that make them in many ways a more suitable model of some human disorders than the current rodent models. The difficulty of working with large animal models has however limited characterisation of gene expression in the horse immune system with current annotations for the equine genome restricted to predictions from other mammals and the few described horse proteins. This paper outlines sequencing of 184 million transcriptome short reads from immunologically active tissues of three horses including the genome reference “Twilight”. In a comparison with the Ensembl horse genome annotation, we found 8,763 potentially novel isoforms.
Figure 1 : Hierarchical clustering of gene expression profiles in 7 tissues
The R command “hclust” was used for the hierarchical clustering analysis. The branch values are the pvclust approximately unbiased (AU) p-values (left) and bootstrap (BP) probability values (right) where the p-values are expressed as percentages.
Table of Cuffcompare results showing the similarities between the University of Nottingham (UoN) consensus assembly and Ensembl. The number of annotated UoN transcripts for each of the Cuffcompare categories is also shown.