TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies

Basisty, N.; Shulman, N.; Wehrfritz, C.; et al.

Protein turnover dynamics is often investigated to better understand biological processes and its impact on health and disease. This is accomplished through the analysis of stable isotope metabolic labeling data. Although several computational tools exist, bioinformatics remains a challenge. To help overcome this bottleneck (in context of MS proteomics data), Schilling et al. developed a novel algorithm – TurnoveR – for the automated evaluation of protein turnover in Skyline software. The guidelines and features of TurnoveR are demonstrated in this article using two different mouse metabolic labeling studies.