Literature DB >> 19027176

Expression microarrays in equine sciences.

Eve Ramery1, Rodrigue Closset, Tatiana Art, Fabrice Bureau, Pierre Lekeux.   

Abstract

Microarrays have become an important research tool for life science researchers. Expression microarrays are capable of profiling the gene expression pattern of tens of thousands of genes in a single experiment. It appears to be the platform of choice for parallel gene expression profiling. Various equine-specific gene expression microarrays have been generated and used. However, homologous microarrays are not yet commercially available for the horse. An alternative is the use of heterologous microarrays, mainly microarrays specific for mice or humans. Although the use of microarrays in equine research is still in its infancy, gene expression microarrays have shown their potential in equine research. This review presents the previous, current and potential use of expression microarrays in equine research.

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Year:  2008        PMID: 19027176     DOI: 10.1016/j.vetimm.2008.10.314

Source DB:  PubMed          Journal:  Vet Immunol Immunopathol        ISSN: 0165-2427            Impact factor:   2.046


  3 in total

1.  Comparison of genomic and proteomic data in recurrent airway obstruction affected horses using Ingenuity Pathway Analysis®.

Authors:  Julien Racine; Vinzenz Gerber; Marybeth Miskovic Feutz; C Paige Riley; Jiri Adamec; June E Swinburne; Laurent L Couetil
Journal:  BMC Vet Res       Date:  2011-08-15       Impact factor: 2.741

2.  Transcriptomic profile adaptations following exposure of equine satellite cells to nutriactive phytochemical gamma-oryzanol.

Authors:  K A Szcześniak; A Ciecierska; P Ostaszewski; T Sadkowski
Journal:  Genes Nutr       Date:  2016-03-17       Impact factor: 5.523

3.  Training associated alterations in equine respiratory immunity using a multiomics comparative approach.

Authors:  Anna E Karagianni; Dominic Kurian; Eugenio Cillán-Garcia; Samantha L Eaton; Thomas M Wishart; R Scott Pirie
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

  3 in total

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