Integrative Biology Objectives and Focus

Biological systems are complex and are the interplay of different molecular levels such as the genome, transcriptome, proteome, metabolome and epigenome. Integrative radiation biology takes account of this complexity by delineating the functional relationships between them. This involves

     

  • the generation of omics data using our Agilent microarray platform
  • bioinformatic integration of the resulting multi-level data
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  • biostatistic analysis of the resulting integrated frameworks
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  • association analysis with phenotypic data (cell survival, sensitivity to radiation or therapeutic drugs) or clinical data (TNM status, patient survival etc.)
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  • reconstruction of biological networks from “static” data generated from clinical samples or from time-course perturbation data from cell culture or animal models
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  • modelling of the underlying systems in order to come to predictive models of radiation-associated diseases 

The research group in embedded in the newly founded Clinical Cooperation Group Personalized Radiotherapy in Head and Neck Cancer. 

Our two main research aims are 

     

  • the improvement of radiation therapy by the identification of modulators of radiation sensitivity in order to overcome the foremost challenges in radiotherapy: radiation resistance and normal tissue reactions
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  • the characterisation of the long-term effects of low-dose irradiation at the organ and systems level in order to identify radiation biomarkers being used in epidemiologic risk modelling
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