Systems Biology

Core to our scientific beliefs is that quantitative, high quality data form the basis for discovery. In our laboratory, we employ powerful state-of-the-art mass spectrometry-based approaches to discover fundamental principles of global metabolic regulation, and cell biological mechanisms governing lipid and membrane homeostasis. For example, our laboratory uses proteomics and lipidomics to obtain global insights into the regulation of lipid metabolism. Once we have identified important regulatory circuitry, we combine our ability to determine abundances of molecules with methodologies, such as live cell imaging, to generate hypotheses and investigate these dynamic processes on the cellular and physiological level.

Read more:

Mejhert N, et al. (2020) Partitioning of MLX-Family Transcription Factors to Lipid Droplets Regulates Metabolic Gene Expression. Mol Cell. 77(6):1251-1264.e9.

Piccolis, M., Bond, L., et al.  (2019). Probing the Global Cellular Responses to Lipotoxicity Caused by Saturated Fatty Acids. Molecular Cell, 74(1), 32-44.e8.

Li, Z., et al. (2018). Global Analyses of Selective Insulin Resistance in Hepatocytes Caused by Palmitate Lipotoxicity. Molecular & Cellular Proteomics : MCP, 17(5), 836-849.

Fröhlich, F., et al. (2016). Proteomic and phosphoproteomic analyses of yeast reveal the global cellular response to sphingolipid depletion. PROTEOMICS, 16(21), 2759-2763.


Christiano, R et al. (2014)Global proteome turnover analyses of the Yeasts S. cerevisiae and S. pombe. Cell Rep. 9(5):1959-65.


Currie, E et al. (2014) High confidence proteomic analysis of yeast LDs identifies additional droplet proteins and reveals connections to dolichol synthesis and sterol acetylation. J. Lipid Res. 55(7):1465-1477.


Krahmer, N et al. (2013) Protein correlation profiles identify lipid droplet proteins with high confidence. Mol. Cell Proteomics 12(5):1115-1126.

 

 

Systems Biology

Lipid droplet (LD) mass-spectrometry-based protein correlation profiling reliably identifies LD proteins. A hierarchical clustering analysis indicates that lipid droplet proteins can be easily distinguished from other proteins that co-purify with LDs during LD isolation fromDrosophila S2 cells. Adapted from Krahmer, N. et al. (2013) Molecular & Cellular Proteomics.