on 05-16-201405:50 AM - edited on 10-15-202107:00 AM by AnalyteGuru
Vogelsang MS, Prakash A, Sarracino D, Vadali G, Peterman S, Frewen B, Nussupbekova A, Smagul A, Zhao Y, Ahmad S, Byram G, Krastins B, Lunyak VV, Lopez MF
Purpose: We have a complete label-free quantitative global profiling and targeted analysis of the cardiac proteome in aging mice using a novel hybrid data acquisition (hybridDA) method.
Methods: A hybridDA method was used to acquire qualitative/ quantitative data analysis using one HR/AM MS and a series of smaller DIA mass windows. Initial characterization experiments using unbiased DDA facilitated the building of detailed spectral library.
Results: Our hybridDA resulted in 30% more peptide identifications per run than a standard DDA run. Additionally, using hybridDA, we are able to confirm MS1 quantitation at low abundance levels with MS/MS for each peptide. The hybridDA enabled quantitation of previously identified peptides as well as novel targets of aging. By identifying and quantifying more targets, we were able to better characterize the dynamic proteomic changes in cardio-dysfunction in aging mice.