SAGE-Hindawi Access to Research International Journal of Alzheimer’s Disease Volume 2011, Article ID 154325, 13 pages doi:10.4061/2011/154325 Research Article Bioinformatics Identification of Modules of Transcription Factor Binding Sites in Alzheimer’s Disease-Related Genes by In Silico Promoter Analysis and Microarrays Regina Augustin,1 Stefan F. Lichtenthaler,2 Michael Greeff,3 Jens Hansen,1 Wolfgang Wurst,1, 2, 4 and Dietrich Trumbach¨ 1, 4 1 Institute of Developmental Genetics, Helmholtz Centre Munich, German Research Centre for Environmental Health (GmbH), Technical University Munich, Ingolstadter¨ Landstraße 1, Munich 85764, Neuherberg, Germany 2 DZNE, German Center for Neurodegenerative Diseases, Schillerstraße 44, 80336 Munich, Germany 3 Institute of Bioinformatics and Systems Biology, Helmholtz Centre Munich, German Research Centre for Environmental Health (GmbH), Ingolstadter¨ Landstraße 1, Munich 85764, Neuherberg, Germany 4 Clinical Cooperation Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstraße, 2-10, 80804 Munich, Germany Correspondence should be addressed to Wolfgang Wurst,
[email protected] and Dietrich Trumbach,¨
[email protected] Received 21 December 2010; Accepted 15 February 2011 Academic Editor: Jeff Kuret Copyright © 2011 Regina Augustin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The molecular mechanisms and genetic risk factors underlying Alzheimer’s disease (AD) pathogenesis are only partly understood. To identify new factors, which may contribute to AD, different approaches are taken including proteomics, genetics, and functional genomics. Here, we used a bioinformatics approach and found that distinct AD-related genes share modules of transcription factor binding sites, suggesting a transcriptional coregulation.