One of the aims in Re-Solute project is to profile the Metabolome of individual SLCs (Knockout- and Wildtype- OverExpression). A secondary goal is to map the functional relationships between SLCs based on integration of Metabolomics data with other high-throughput omics datasets.
Key Points
- Six human cancer cell lines
- Doxycycline (absent) as control
- ~198 Metabolite Panel
- 6470 Triple Quadrupole Mass Spectrometer
- MassHunter 10.0 Software for initial Data Analysis
- Machine Learning Model trained on initial manual peak-integrations
