TY  - INPR
A1  - Klann, Kevin
A1  - Krause, David
A1  - Münch, Christian
T1  - DynaTMT: a user-friendly tool to process combined SILAC/TMT data
T2  - bioRxiv
N2  - The measurement of protein dynamics by proteomics to study cell remodeling has seen increased attention over the last years. This development is largely driven by a number of technological advances in proteomics methods. Pulsed stable isotope labeling in cell culture (SILAC) combined with tandem mass tag (TMT) labeling has evolved as a gold standard for profiling protein synthesis and degradation. While the experimental setup is similar to typical proteomics experiments, the data analysis proves more difficult: After peptide identification through search engines, data extraction requires either custom scripted pipelines or tedious manual table manipulations to extract the TMT-labeled heavy and light peaks of interest. To overcome this limitation, which deters researchers from using protein dynamic proteomics, we developed a user-friendly, browser-based application that allows easy and reproducible data analysis without the need for scripting experience. In addition, we provide a python package that can be implemented in established data analysis pipelines. We anticipate that this tool will ease data analysis and spark further research aimed at monitoring protein translation and degradation by proteomics.
KW  - Proteomics
KW  - TMT
KW  - pulsed SILAC
KW  - Python
KW  - Browsertool
KW  - Software
KW  - Data Analysis
KW  - Translation
KW  - Degradation
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72906
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-729065
IS  - 2021.07.06.451268
ER  -