To enable the above, we have developed approaches over the past few years with the following aims:
(A) to ensure optimal experimental design and appropriate data analysis based on knowledge of data structure. We have applied our research to many quantitative proteomics platforms and created supporting software and analysis pipelines.
(B) to enable the assignment of proteins to subcellular niches and multi protein complexes using quantitative proteomics (both targeted and non-targeted workflows) coupled with machine learning methods for data mining.
Spatial Proteomics and Protein-Protein Interactions
Localisation of Organelle Proteins using Isotope Tagging (LOPIT) (Dunkley et al, Proc Natl Acad Sci USA 2006), which allows the assignment of proteins and protein complexes to sub-cellular locations, has been applied successfully to several biological systems (Nikolovski et al, Plant Physiol. 2012, Tan et al, Proteome Res. 2009, Hall et al. Mol Cell Proteomics. 2009). The ability to assign individual proteins accurately to specific sub-cellular structures and monitor their movement within cells is of paramount importance to our understanding of cellular mechanisms.
Interactomes using Parallel Affinity Capture (iPAC) is a method developed in collaboration with the St Johnston (Gurdon Institute) and Russell (Genetics Dept.) groups to determine genuine residents of multi protein complexes (Rees et al, Mol Cell Proteomics. 2011).
New Horizons for CCP
- The Lilley group has been awarded a sLoLa (BBSRC) in collaboration with the Russell and Martinez Arias groups (UCAM, Genetics), the Orengo and Jones groups (UCL) and Hubbard group (University of Manchester) to create a spatio-temporal map of the developmental fly interactomes.
- Kathryn Lilley and Anne Willis (MRC Toxicology Leicester) have been awarded a joint Wellcome Trust Investigator Award to study the spatial implications of translation.
There are currently no results for this search.