201. Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes
- Author
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Jafrezic, F., de Koning, D.J., Boettcher, P., Bonnet, A., Buitenhuis, B., Closset, R., Dejean, S., Delmas, C., Detilleux, J.C., Dovc, P., Duval, M., Foulley, J.L., Hedegaard, J., Hoprnshoj, H., Hulsegge, B., Janss, L., Jensen, K., Jiang, L., Lavric, M., Cao Le, K.A., Lund, M.S., Malinverni, R., Marot, G., Nie, H., Petzl, W., Pool, M.H., Robert-Granie, C., Cristobal, M., van Schothorst, E.M., Schuberth, H.J., Sorensen, P., Stella, A., Tosser-klopp, G., Waddington, D., Watson, M., Yang, M., Zerbe, H., Seyfert, H.M., Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), BBSRC Roslin Institute, Partenaires INRAE, Parco Tecnologico Padano, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Faculty of Agricultural Sciences, Department of Genetics and Biotechnology, Aarhus University [Aarhus], Faculty of Veterinary Medicine, Université de Liège, Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Station d'Amélioration Génétique des Animaux (SAGA), University of Ljubljana, Animal Sciences Group, Wageningen University and Research [Wageningen] (WUR), Wageningen University and Research Centre (WUR), Clinic for Ruminants, Ludwig-Maximilians-Universität München (LMU), Immunology Unit, University of Veterinary Medicine, Institute for Animal Health, and Leibniz Institute for Farm Animal Biology (FBN)
- Subjects
[SDV.GEN]Life Sciences [q-bio]/Genetics ,differentially expressed genes ,mixed-model ,RIKILT - Business Unit Veiligheid & Gezondheid ,education ,NORMALISATION ,cdna microarray data ,Animal Breeding and Genomics ,microarray data ,QUALITY CONTROL ,DIFFERENTIALLY EXPRESSED GENES ,MASTITIS RESISTANCE ,MICROARRAY DATA ,normalisation ,quality control ,mastitis resistance ,WIAS ,RIKILT - Business Unit Safety & Health ,Fokkerij en Genomica ,Wageningen Livestock Research - Abstract
A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus. It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus. Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies
- Published
- 2007