Prof. Robert Murphy: "Automated proteome-wide determination and modelling of subcellular location for systems biology"
von 13:00 bis 14:00
Professor Robert Murphy
External Senior Fellow of the Freiburg Institute for Advanced Studies
Ray and Stephanie Lane Center for Computational Biology, Center for Bioimage Informatics, and Departments of Biological Sciences, Biomedical Engineering, and Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA
"Automated proteome-wide determination and modelling of subcellular location for systems biology"
An important challenge in the post-genomic era is to identify subcellular location on a proteome-wide basis. A major source of information for this task will be imaging of tagged proteins using light microscopy. My group has previously developed automated systems to interpret the images resulting from such experiments and demonstrated that they can perform as well or better than visual inspection. Our recent work demonstrates that these methods can be applied to large collections of images from yeast (the UCSF yeast GFP localization database), human tissues (the Human Protein Atlas), and randomly GFP-tagged mouse 3T3 cell lines. A distinct but related task is learning from images what location patterns exist (rather than classifying them into pre-specified patterns). In this regard, we have obtained reasonable results on clustering mouse proteins into subcellular location families that share a statistically indistinguishable pattern. In order to be able to capture and communicate the pattern in each family, we have developed approaches to learning generative models of subcellular patterns from images. These can be used to synthesize images that in a statistical sense are drawn from the same underlying population as the images used for training. The models can be communicated in compact XML files that are compatible with cell model descriptions captured in SBML. We anticipate combining these models to construct cell models containing all expressed proteins in their proper locations. We are currently working to integrate our tools with existing cell modelling systems such as the Vitual Cell to permit accurate, well-structured information on subcellular location to be incorporated into systems biology efforts. We are also working on approaches for identifying those proteins that show changes in subcellular location associated with the development of diseases such as cancer. Lastly, my work during my visit to Freiburg has focused on extending our approaches to plant cells, in collaboration with members of the groups of Prof. Klaus Palme and Prof. Hans Burkhardt. I am particularly interested in developing strategies for describing and recognizing organelle patterns across diverse cell and tissue types.