CIBSS develops powerful new technologies for the quantitative analysis of the composition of signalling assemblies and the spatiotemporal dynamics of signalling processes across biological scales. These technologies include high-resolution functional proteomics such as structural proteomics, interaction proteomics, organelle proteomics, redox proteomics and time-resolved phosphoproteomics, as well as advanced imaging technologies with high spatial and temporal resolution. Furthermore, CIBSS will advance new computational analysis techniques and mathematical modelling approaches for achieving an integrated understanding of signalling data collected across biological scales. CIBSS-D projects will therefore provide unprecedented insight into signalling processes, thereby accelerating research in all areas of CIBSS.
Integrative Signalling Technologies
Funded projects within Research Area D
- The dynamics of lectins at the cell cortex on millisecond to hour scales investigated by ROCS super-resolution imaging (Prof. Dr. Alexander Rohrbach, Prof. Dr. Winfried Römer)
- Disentangled Feature Learning for Interpretable Few-Shot-Learning (Prof. Dr. Thomas Brox)
- Mathematical Modelling for CIBSS (Prof. Dr. Jens Timmer)
- Multi-Scale Modelling, Integrative Data Analyses and Statistical Support
- Mechanism of signalling by cluster formation in living cells with single-molecule fluorescence (Prof. Dr. Thorsten Hugel)