Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
SHR
Neuro
Krebs
Kardio
Stoffw
Microb
Lipid
A gene expression data set for breast cancer
- Abstract
- The goal of the proposed project is to generate a fully disease-representative gene expression database for breast cancer containing genome-wide gene expression profiles and extensive pathologic and clinical data for each sample with ehich to decode the biological significance of the expression data. This resource will introduce new levels of quality and scope of gene expression data for cancer research.
To achieve this objective there is a need for an extensively documented collection of frozen and formalin-fixed primary breast cancer samples and state-of-the-art DNA microarray/bioinformatic and tissue microarray analysis platforms. This unique combination of resources can only be achieved in the context of a collaboration between GEN-AU and NGFN-funded programmes. The Disease Bank programme, lead by the Institute of Pathology in Graz, has access to one of the world's largest and highest quality collections of diseased tissues which includes 2600 frozen and 17000 formalin-fixed breast cancer samples with associated clinical, pathological and outcome data. The programme also has access to a proprietary tissue microarray robot for the rapid construction of highly standardised tissue microarrays. The NGFN-funded Division of Molecular Genome Analysis at the DKFZ in Heidelberg has developed highly standardised, high density DNA arrays containing 36000 genes and sophisticated bioinformatic tools for data analysis.
An important feature of the proposed study is that, throughout, great attention will be paid to sample preparation and documentation so as to generate a resource that is sufficiently standardised to be placed in the public domain and accessed by all scientists working in the breast cancer field. The availability of this resource will introduce a new era of breast cancer research in which the emphasis is shifted to hypothesis-driven data mining and the rapid transfer of research findings into clinical practice.
- Projektleitung:
- Zatloukal Kurt
- Laufzeit:
- 01.11.2004-31.05.2006
- Programm:
- GENAU
- Art der Forschung
- Angewandte Forschung
- Mitarbeiter*innen
- Zatloukal K., Projektleiter*in
- Wrighton C., Projektmitarbeiter*in
- Beteiligte MUG-Organisationseinheiten
- Diagnostik und Forschungsinstitut für Pathologie
- Klinische Abteilung für Onkologie
- Projektpartner
-
Division of Molecular Genome Analysis, German Cancer Research Ceneter (DKFZ), Deutschland
Kontaktperson: Dr. Holger Sültmann uund Prof. Dr. Annemarie Poustka; -
Oridis Biomed, Forschungs- und Entwicklungs-GmbH, Österreich
Kontaktperson: Dr. Charles Buck; -
Technische Universität Graz, Österreich
Kontaktperson: Prof. Dr. Zlatko Trajanoski;