Scott M. Petemran1, David Sarracino1, Amol Prakash2, Bradley Hart1, and Shen Luan1
ASMS 2017 Poster
Purpose: Create an LC-MS workflow to perform global proteome profiling that enables the greatest depth, breadth, and reproducibility while satisfying clinical research requirements that the resulting method is easy to set up, amenable to UHPLC separations, and facilitates retrospective data mining.
Methods: Develop a mass spectrometry-based acquisition method that merges concepts of DDA/DE and DIA to maximize Orbitrap-based ion accumulation and detection. The method decouples the qualitative and quantitative data streams and employs spectral matching routines for robust, automated data processing routines.
Results: Optimization of the wide-window DDA/DE acquisition method resulted in 23% more peptides that were confidently detected and quantified as compared to DIA methods.
1 Thermo Fisher Scientific BRIMS, Cambridge, MA
2 Optys Technologies Inc. Boston, MA
United States
