Personal tools
You are here: Home
Navigation
Log in


Forgot your password?
« January 2018 »
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
 
Document Actions

Aims

by Antje Lazarovic last modified 2009-06-26 12:12


The aims of the project are:


  • Identification of cancer-related mutations by database mining, high-throughput sequencing of cancer tissues and established cancer cell lines (focus: cancer of prostate, stomach, colon, breast).
  • Characterisation of these mutations on a functional level and molecular pathway level in cells and mouse model. This analysis will focus on the common traits of cancer: enhanced cell mobility, unrestricted cell growth, tissue invasion, reduced cell mortality, altered response to extra-cellular stimuli.
  • Determination of cellular parameters: protein level, protein modifications and mRNA expression in response to wild type and mutant protein expression in defined isogenic cell lines.
  • Comparison of these data with patient data, tissue parameter (protein & mRNA expression, mutations) and clinical parameters (metabolism, disease progression).
  • Modelling of quantitative parameters obtained from our experimental and clinical data for their effect on the main cellular signalling pathways.
  • Development of predictive models for the clinical use of chemotherapeutics, environmental determinants on diseases as well as for predicting disease progression in general.
  • Translation of our modelling approach and our experimental results to the clinical sector/Public Health for improved prevention, diagnosis treatment and new drug target identification.
  • Identification of new molecular targets for the development of site-specific chemotherapies.
  • Establishment of a bed-side mutational profiling tool based on the Solexa sequencing technique and transfer to routine diagnostics.

 

Powered by Plone, the Open Source Content Management System

This site conforms to the following standards: