A great way of getting the high quality data needed for modelling subcellular events.

While biological studies are rapidly generating a clear picture of the key components involved in intracellular pathways they often lack  details of how these components interact.  Understanding these interactions is essential if we want to understand how a cell reacts to its environment. Mathematical modelling is a great to fill in these details but the problem is that high quality mathematical models need to be inferred from high quality data!

Traditionally experimental data that describes subcellular signalling events such as protein phosphorylation comprises few time points and are not quantified. Our recent paper (DOI: 10.1371/journal.pcbi.1004589) details a way of quickly obtaining the necessary high-density quantified data making it easier to infer mathematical models.

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