Abstract
We plan to use state-of-the art mass spectrometry-based proteomics, fluorescence microscopy and machine learning to understand the molecular basis of cell competition. Cell competition is a phenomenon that results in the elimination of less fit cells from a tissue, and is a critical process in development, homeostasis and disease.
References
1. Matthew Allen Bullock, J., Schwab, J., Thalassinos, K., and Topf, M., The Importance of Non-accessible Crosslinks and Solvent Accessible Surface Distance in Modeling Proteins with Restraints From Crosslinking Mass Spectrometry. Molecular & Cellular Proteomics, (2016). 15: 2491-2500. DOI: 10.1074/mcp.M116.058560.
2. Thalassinos, K., Pandurangan, A.P., Xu, M., Alber, F., and Topf, M., Conformational States of Macromolecular Assemblies Explored by Integrative Structure Calculation. Structure, (2013). 21: 1500-1508. DOI: 10.1016/j.str.2013.08.006.
3. Patel, V.J., Thalassinos, K., Slade, S.E., Connolly, J.B., Crombie, A., Murrell, J.C., and Scrivens, J.H., A Comparison of Labeling and Label-Free Mass Spectrometry-Based Proteomics Approaches. Journal of Proteome Research, (2009). 8: 3752-3759. DOI: 10.1021/pr900080y.
4. Local cellular neighbourhood controls proliferation in cell competition Bove A, Gradeci D, Fujita Y, Banerjee S, Charras G, Lowe AR* Mol. Biol. Cell (2017) 28: 3215-3228
5. A liquid to solid phase transition underlying pathological Huntingtin exon1 aggregation Peskett T, Rau F, O’Driscoll J, Patani R, Lowe AR, Saibil H
Mol Cell (2018) 70: 588–601