Adaptive Mass Spectrometry
Intelligent data acquisition in mass spectrometry driven proteomics can enhance the accuracy and efficiency of proteomics data collection. Using methods like real-time data base searching (search a spectra in less than 10 milliseconds) we are building adaptive strategies to harness spectral data to determine quantitative disparities between cellular states.
Modern proteomics enables quantitation of up to 10,000 proteins from complex cellular matrices. At the interface of cell biology, biochemistry and proteomics, we are attempting to understand how proteins govern key cellular pathways involved in normal cellular function and disease (e.g. cancer).
The lab is actively developing programs to enable the above projects geared towards adaptive instrument control, data analysis, and data interpretation. Projects under development can be found at our GitHub page.
Multidrug resistant pathogens are a continuing national health concern. To address this we are investigating how pathogen proteins and pathways that govern virulence affect host cellular state through the lens of the proteome.