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Veterinary journal (London, England : 1997)2009; 186(3); 323-327; doi: 10.1016/j.tvjl.2009.08.030

Equine transcriptome quantification using human GeneChip arrays can be improved using genomic DNA hybridisation and probe selection.

Abstract: Affymetrix GeneChip arrays are a powerful tool for transcriptome profiling and have been applied to a wide range of species. A genomic DNA (gDNA)-based probe selection method has been developed which broadens the range of species to which GeneChips may be successfully applied. This study demonstrated that gDNA-based probe selection on the Affymetrix U133+2 GeneChip array can be used to study the equine transcriptome which, to date, has received only limited attention. More than 29,000 transcripts can be detected in equine brain and liver and in primary cultures of equine articular chondrocytes. Gene ontology analysis of differentially expressed genes revealed the presence of expected categories within each tissue. The level of gene expression could also be correlated with the phenotypes and specialised functions of each tissue. The results demonstrated that probe selection on a human chip can be successfully used to study the equine transcriptome.
Publication Date: 2009-09-27 PubMed ID: 19786357DOI: 10.1016/j.tvjl.2009.08.030Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research focuses on the application of a genomic DNA-based probe selection method using GeneChip arrays to effectively study the equine transcriptome. More than 29,000 transcripts were detected, revealing expected gene categories within the given tissues, and enabling the correlation of gene expression with tissue phenotypes and functions.

Background

  • The research paper concentrates on the use of GeneChip arrays made by Affymetrix to profile transcriptomes in various species.
  • The transcriptome constitutes all the RNA molecules, including mRNA, rRNA, tRNA, and other non-coding RNA expressed from the genes of an organism.
  • The novel approach which the researchers have taken involves the use of genomic DNA (gDNA) in probe selection to expand the applicability of GeneChips.

Probe Selection and Experimentation

  • This study explains how gDNA-based probe selection was used on the Affymetrix U133+2 GeneChip array to probe the equine transcriptome, an area that has not garnered ample attention in earlier investigations.
  • With this method, the scientists were able to discover over 29,000 transcripts in equine brain and liver tissues, and in primary cultures of equine articular chondrocytes (a type of cells found in cartilage).

Gene Ontology Analysis

  • Using gene ontology analysis on the differentially expressed genes from the different tissues, predictable categories within each type were identified.
  • The gene ontology analysis is used for the unified representation of gene and gene product attributes across all species.
  • These categories further validated the efficiency of using a human chip for equine transcriptome study.

Correlation between Gene Expression and Functions

  • The study effectively unveiled a correlation between the levels of gene expression and the phenotypes and specialised functions of each tested tissue.
  • This correlation enhances the understanding of the specialized roles these genes play in tissue-specific processing.

Conclusions

  • Overall, the research findings indicated that it is feasible to use probe selection on a human chip to examine the equine transcriptome.
  • This advancement unfolds the possibility of extending transcriptome studies to a broader range of species that have been comparatively under-observed in previous research.

Cite This Article

APA
Graham NS, Clutterbuck AL, James N, Lea RG, Mobasheri A, Broadley MR, May ST. (2009). Equine transcriptome quantification using human GeneChip arrays can be improved using genomic DNA hybridisation and probe selection. Vet J, 186(3), 323-327. https://doi.org/10.1016/j.tvjl.2009.08.030

Publication

ISSN: 1532-2971
NlmUniqueID: 9706281
Country: England
Language: English
Volume: 186
Issue: 3
Pages: 323-327

Researcher Affiliations

Graham, Neil S
  • Nottingham Arabidopsis Stock Centre, Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Loughborough, UK.
Clutterbuck, Abigail L
    James, Nicholas
      Lea, Richard G
        Mobasheri, Ali
          Broadley, Martin R
            May, Sean T

              MeSH Terms

              • Animals
              • DNA / analysis
              • DNA Probes
              • Gene Expression
              • Genome
              • Horses / genetics
              • Humans
              • Oligonucleotide Array Sequence Analysis / veterinary
              • Selection, Genetic
              • Species Specificity
              • Transcription, Genetic

              Grant Funding

              • BBS/S/M/2006/13141 / Biotechnology and Biological Sciences Research Council
              • BB/E01772X/1 / Biotechnology and Biological Sciences Research Council
              • BBS/B/1356X / Biotechnology and Biological Sciences Research Council
              • BBE01772X1 / Biotechnology and Biological Sciences Research Council
              • BB/I001271/1 / Biotechnology and Biological Sciences Research Council
              • BB/E022758/1 / Biotechnology and Biological Sciences Research Council
              • G17764 / Biotechnology and Biological Sciences Research Council
              • G18881 / Biotechnology and Biological Sciences Research Council

              Citations

              This article has been cited 3 times.
              1. Lai HM, May ST, Mayes S. Pigeons: A Novel GUI Software for Analysing and Parsing High Density Heterologous Oligonucleotide Microarray Probe Level Data.. Microarrays (Basel) 2014 Jan 3;3(1):1-23.
                doi: 10.3390/microarrays3010001pubmed: 27605027google scholar: lookup
              2. Nilsson EM, Fainberg HP, Choong SS, Giles TC, Sells J, May S, Stansfield FJ, Allen WR, Emes RD, Mostyn A, Mongan NP, Yon L. Molecular characterization of adipose tissue in the African elephant (Loxodonta africana).. PLoS One 2014;9(3):e91717.
                doi: 10.1371/journal.pone.0091717pubmed: 24633017google scholar: lookup
              3. Darby BJ, Jones KL, Wheeler D, Herman MA. Normalization and centering of array-based heterologous genome hybridization based on divergent control probes.. BMC Bioinformatics 2011 May 21;12:183.
                doi: 10.1186/1471-2105-12-183pubmed: 21600029google scholar: lookup