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Characterisation of the horse transcriptome from immunologically active tissues.
Moreton, Joanna; Malla, Sunir; Aboobaker, A Aziz; Tarlinton, Rachael E; Emes, Richard D.
Afiliação
  • Moreton J; Advanced Data Analysis Centre, University of Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK ; Deep Seq, School of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre , Nottingham , UK ; School of Veterinary Medicine and Science, University of Not
  • Malla S; Deep Seq, School of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre , Nottingham , UK.
  • Aboobaker AA; Department of Zoology, University of Oxford , Oxford , UK.
  • Tarlinton RE; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK.
  • Emes RD; Advanced Data Analysis Centre, University of Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK ; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK.
PeerJ ; 2: e382, 2014.
Article em En | MEDLINE | ID: mdl-24860704
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article