In spite of its central role in biology and disease, protein turnover is a largely understudied aspect of most proteomic studies due to the complexity of computational workflows that analyze in-vivo turnover rates. To address this need, we developed a new computational tool, TurnoveR, to accurately calculate protein turnover rates from mass spectrometric analysis of metabolic labeling experiments in Skyline, a free and open-source proteomics software platform. TurnoveR is a straightforward graphical interface that enables seamless integration of protein turnover analysis into a traditional proteomics workflow in Skyline, allowing users to take advantage of the advanced and flexible data visualization and curation features built into the software. The TurnoveR computational pipeline performs critical steps to determine protein turnover rates, including isotopologue demultiplexing, precursor-pool correction, statistical analysis, and generation of data reports and visualizations. This workflow is compatible with many mass spectrometric platforms and re-capitulates turnover rates and differential changes in turnover rates between treatment groups calculated in previous studies. We expect that the addition of TurnoveR to the widely used Skyline proteomics software will facilitate wider utilization of protein turnover analysis in highly relevant biological models, including aging, neurodegeneration, and skeletal muscle atrophy.
[doi:10.25345/C59Z90C85]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: protein turnover ; proteostasis ; aging ; data-dependent acquisition ; metabolic labeling ; stable isotope labeling
Principal Investigators: (in alphabetical order) |
Birgit Schilling, Buck Institute, USA |
Submitting User: | nbasisty |
Number of Files: | |
Total Size: | |
Spectra: | |
Subscribers: | |
Owner | Reanalyses | |
---|---|---|
Experimental Design | ||
Conditions:
|
||
Biological Replicates:
|
||
Technical Replicates:
|
||
Identification Results | ||
Proteins (Human, Remapped):
|
||
Proteins (Reported):
|
||
Peptides:
|
||
Variant Peptides:
|
||
PSMs:
|
||
Quantification Results | ||
Differential Proteins:
|
||
Quantified Proteins:
|
||
Browse Dataset Files | |
Browse Quantification Results | Browse Metadata |
FTP Download Link (click to copy):
|