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    Effects of threshold choice on the results of gene expression profiling, using microarray analysis, in a model feeding experiment with rats (2009)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Hartmann, A
    Nuernberg, G
    Repsilber, D
    Janczyk, P
    Walz, C
    Ponsuksili, S
    Souffrant, W.B
    Schwerin, M
    Quelle
    Archiv für Tierzucht
    Bandzählung: 52
    Heftzählung: 1
    Seiten: 65 – 78
    ISSN: 0003-9438
    Sprache
    Englisch
    Kontakt
    Institut für Veterinär-Anatomie

    Koserstr. 20
    14195 Berlin
    +49 30 838 53555
    anatomie@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Global gene expression studies using microarray technology are widely employed to identify biological processes which are influenced by a treatment e.g. a specific diet. Affected processes are characterized by a significant enrichment of differentially expressed genes (functional annotation analysis). However, different choices of statistical thresholds to select candidates for differential expression will alter the resulting candidates list. This study was conducted to investigate the effect of applying a False Discovery Rate (FDR) correction and different fold change thresholds in statistical analysis of microarray data on diet-affected biological processes based on a significantly increased proportion of differentially expressed genes. In a model feeding experiment with rats fed genetically modified food additives, animals received a supplement of either lyophilized inactivated recombinant VP60 baculovirus (rBV-VP60) or lyophilized inactivated wild type baculovirus (wtBV). Comparative expression profiling was done in spleen, liver and small intestine mucosa. We demonstrated the extent to which threshold choice can affect the biological processes identified as significantly regulated and thus the conclusion drawn from the microarray data. In our study, the combined application of a moderate fold change threshold (FC≥1.5) and a stringent FDR threshold (q≤0.05) exhibited high reliability of biological processes identified as differentially regulated. The application of a stringent FDR threshold of q≤0.05 seems to be an essential prerequisite to reduce considerably the number of false positives. Microarray results of selected differentially expressed molecules were validated successfully by using real-time RT-PCR.