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Veterinary Science Faculty Publications

Oligonucleotide Array Sequence Analysis

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Full-Text Articles in Veterinary Medicine

Transcriptional Adaptations Following Exercise In Thoroughbred Horse Skeletal Muscle Highlights Molecular Mechanisms That Lead To Muscle Hypertrophy, Beatrice A. Mcgivney, Suzanne S. Eivers, David E. Machugh, James N. Macleod, Grace M. O'Gorman, Stephen D.E. Park, Lisa M. Katz, Emmeline W. Hill Dec 2009

Transcriptional Adaptations Following Exercise In Thoroughbred Horse Skeletal Muscle Highlights Molecular Mechanisms That Lead To Muscle Hypertrophy, Beatrice A. Mcgivney, Suzanne S. Eivers, David E. Machugh, James N. Macleod, Grace M. O'Gorman, Stephen D.E. Park, Lisa M. Katz, Emmeline W. Hill

Veterinary Science Faculty Publications

BACKGROUND: Selection for exercise-adapted phenotypes in the Thoroughbred racehorse has provided a valuable model system to understand molecular responses to exercise in skeletal muscle. Exercise stimulates immediate early molecular responses as well as delayed responses during recovery, resulting in a return to homeostasis and enabling long term adaptation. Global mRNA expression during the immediate-response period has not previously been reported in skeletal muscle following exercise in any species. Also, global gene expression changes in equine skeletal muscle following exercise have not been reported. Therefore, to identify novel genes and key regulatory pathways responsible for exercise adaptation we have used equine-specific …


A Novel Application Of Quantile Regression For Identification Of Biomarkers Exemplified By Equine Cartilage Microarray Data, Liping Huang, Wenying Zhu, Christopher P. Saunders, James N. Macleod, Mai Zhou, Arnold J. Stromberg, Arne C. Bathke Jul 2008

A Novel Application Of Quantile Regression For Identification Of Biomarkers Exemplified By Equine Cartilage Microarray Data, Liping Huang, Wenying Zhu, Christopher P. Saunders, James N. Macleod, Mai Zhou, Arnold J. Stromberg, Arne C. Bathke

Veterinary Science Faculty Publications

BACKGROUND: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies have focused on disease classification, comparing experimental groups of effected to normal patients. Related experiments can be done to identify tissue-restricted biomarkers, genes with a high level of expression in one tissue compared to other tissue types in the body.

RESULTS: In this study, cartilage was compared with ten other body tissues using a two color array experimental design. Thirty-seven probe sets were identified as cartilage biomarkers. Of these, 13 (35%) have existing annotation associated with …