Mission
The mission of this Resource is to develop and apply new technical and Bioinformatics approaches to some of the challenges in the field of proteomics.
Major bioinformatics foci of the Resource include improved techniques for increasing the depth and breadth of proteomics studies, bridging the gap between Systems Biology and biomarker discovery, and integration of proteomics data from functional studies with protein interactions and pathways.
Technical efforts of the Resource are directed at developing or validating new methods that extend the range and quality of proteomics information available. This includes new chemistries, separations, mass spectrometry instrumentation, cloning, and protein interaction methods.
Our General Aims include:
- Develop improved approaches for analysis of protein interactions:
- Automated cloning strategies to support high-throughput proteomics
- High-throughput two-hybrid protein interaction mapping and analysis of protein complexes, including membrane proteins
- Mass spectrometry methodologies for analysis of protein interactions
- Improved technologies for proteome mapping:
- Development of improved methods for protein expression profiling
- Technologies for screening global changes in post-translational modifications
- Subsystems analysis focused on organelles, including improved topology mapping techniques, and subunit stoichiometry
- Bioinformatics and computational proteomics tools and algorithms for improved data analysis of and for disseminating and integrating heterogeneous proteomics data.
- Mapping signaling and compensatory pathways responding to biological stimuli and network perturbations
- Identification of pathway homology
- Correlation of maps with expression data and informing biomarker studies
- Improved methods for data processing and database infrastructure for integrated proteome analyses
- Generation of proteomics databases and other public resources
- Improvements in analysis of protein interaction data