Perturbation Biology of Cancer Cells
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If you have a question about this talk, please contact Florian Markowetz.
In analogy to perturbation experiments in physics,
one can systematically perturb cells, measure their molecular
response and computationally infer predictive network models.
When applied to cancer cells, such systems biology models can
lead to the design of promising combinatorial therapies.
The Cancer Genome Atlas project and the International
Cancer Genomics Consortium supply unprecedented
molecular profiles of many different tumor types.
The commonalities and differences in these profiles provide
two major therapeutic opportunities: (1) to customize combinatorial
therapy to the individual and (2) to prevent the emergence
of resistance to single-agent therapies. I will report on
computational and cell-line based work in progress in these areas.
This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.
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