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PeerJ2014; 2; e382; doi: 10.7717/peerj.382

Characterisation of the horse transcriptome from immunologically active tissues.

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.
Publication Date: 2014-05-06 PubMed ID: 24860704PubMed Central: PMC4017814DOI: 10.7717/peerj.382Google Scholar: Lookup
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  • Journal Article

Summary

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This study focuses on exploring the horse’s immune system through genome sequencing of immunologically active tissues in horses. The research identified possibly new isoforms which could contribute to enhancing the existing equine genome annotation.

Research Background

  • This research is primarily concerned with the insufficient study of horse’s immune system.
  • The research points out that many features, such as the horse’s sensitivity to bacterial lipopolysaccharide, makes the horse a more appropriate model for some human disorders than the current rodent models.
  • However, the challenges associated with large animal models have hindered extensive research into gene expression in the horse immune system.
  • Additionally, existing annotations for the equine genome are limited, being largely based on predictions derived from other mammals and a small number of known horse proteins.

Research Methodology

  • The researchers sequenced 184 million transcriptome short reads from immunologically active tissues of three horses. This included the genome reference “Twilight”.
  • Transcriptome refers to all the RNA molecules, including mRNA, rRNA, tRNA, and other non-coding RNA, produced in one or a population of cells. It is a crucial source of data in functional genomics.

Research Findings

  • Researchers compared the sequencing results with the Ensembl horse genome annotation.
  • Out of these sequences, the researchers discovered 8,763 potentially novel isoforms.
  • An isoform is any of several different forms of the same protein. Different isoforms of a protein can have minor differences in their sequence and can have different stability, localization, or activity – essentially serving different functions, even though they come from the same gene.
  • Identification of these novel isoforms indicates the potential for extending the current knowledge of the equine genome annotation and, thus, enhancing understanding of the horse’s immune system.

Cite This Article

APA
Moreton J, Malla S, Aboobaker AA, Tarlinton RE, Emes RD. (2014). Characterisation of the horse transcriptome from immunologically active tissues. PeerJ, 2, e382. https://doi.org/10.7717/peerj.382

Publication

ISSN: 2167-8359
NlmUniqueID: 101603425
Country: United States
Language: English
Volume: 2
Pages: e382
PII: e382

Researcher Affiliations

Moreton, Joanna
  • 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 Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK.
Malla, Sunir
  • Deep Seq, School of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre , Nottingham , UK.
Aboobaker, A Aziz
  • Department of Zoology, University of Oxford , Oxford , UK.
Tarlinton, Rachael E
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus , Loughborough , Leicestershire , UK.
Emes, Richard D
  • 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.

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Citations

This article has been cited 5 times.
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