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.
Articles
- Cardiac Myosin Filaments are Maintained by Stochastic Protein Replacement
- An Optimized MRM-Based Workflow of the l-Arginine/Nitric Oxide Pathway Metabolites Revealed Disease- and Sex-Related Differences in the Cardiovascular Field
- Continuous Oral Stable Isotope Ingestion to Measure Whole-Body Protein Turnover
- The Metabolism of Human Soluble Amyloid Precursor Protein Isoforms Is Quantifiable by a Stable Isotope Labeling-Tandem Mass Spectrometry Method
- TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies
- Isotope Tracing in Health and Disease
