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Category:
Scientific Computing

Lecturer:
Nicole Radde, Institute for Systems Theory and Automatic Control, University of Stuttgart

Place:
BioQuant, Seminar room 044, Im Neuenheimer Feld 267

Host:
Franziska Matthäus, IWR Uni Heidelberg

Description:
Western Blot data are widely used to investigate intracellular processes such as signaling pathways or regulatory mechanisms. They provide semi-quantitative information about average protein amounts and activity states in a population of cells. In our group we use Western blot data for model identification, including parameter estimation as well as model comparison techniques. In this context, Western blot data pose several challenges for the inference problem. First, they often provide only relative information with respect to a control experiment, which requires appropriate normalisation and error models. Second, the inference problems are often ill-posed, making global approaches necessary for reliable inference results. We use statistical sampling-based techniques for this purpose. My talk highlights some of the issues when using Western Blot data for the calibration of quantitative dynamic models. I will also introduce approaches how to deal with these. I will furthermo! re show results from different ongoing modeling projects, including a molecular network for secretion control in mammalian cells and pathways that play a role for cell migration.

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