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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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