Endocrine Abstracts

As we learn more and more about the complexity of biological systems there is a real risk of being drowned in data but starved of information. This is increasingly recognised by grant funders and is certainly true of the signal transduction field where the complexity of signaling networks makes our traditional intuitive approaches look increasingly inadequate. For my own work on GnRH signaling, one solution has been to collaborate with mathematicians and engineers. Success in such collaboration requires not just shared interests but also establishment of shared language and shared understanding of what can and can’t be done. Such collaboration brings different perspectives and skill-sets to bear on biological questions. In this session, I’ll discuss what we’ve learnt about how to exploit (and not be undermined by) these differences.