Our lab investigates how mechanical forces at the plasma membrane are translated into classical biochemical signal transduction cascades. Mechano-chemical signal translation at cellular membranes has been shown to affect shape and migration of individual cells as well as of cellular ensembles. However, despite its importance, the underlying molecular mechanisms have largely remained unclear. To examine the interplay between mechanical forces and biochemical signaling, we apply an interdisciplinary approach combining classical cell biology with biophysical techniques, nanofabrication, and computational analysis of microscopic images. Together, these studies will advance our understanding of how mechanical forces contribute to signal propagation under physiological and pathological conditions.
- Saha. T., and Galic, M. (2018) Self-organization across scales: from molecules to organisms. Philos Trans R Soc B (in press),DOI 10.1098/rstb.2017.0113.
- Saha, T., Rathmann, I., Viplav, A., Panzade, S., Begemann, I., Rasch, C., Klingauf, J., Matis, M., and Galic, M. (2016).Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking. Molecular biology of the cell 27, 3616-3626
- Begemann, I., Viplav, A., Rasch, C., and Galic, M. (2015). Stochastic Micro-Pattern for Automated Correlative Fluorescence - Scanning Electron Microscopy. Scientific reports 5, 17973.
- Galic, M., Begemann, I., Viplav, A., and Matis, M. (2014). Force-control at cellular membranes. Bioarchitecture 4, 164-168.
- Galic, M., Tsai, F.C., Collins, S.R., Matis, M., Bandara, S., and Meyer, T. (2014). Dynamic recruitment of the curvature-sensitive protein ArhGAP44 to nanoscale membrane deformations limits exploratory filopodia initiation in neurons. eLife 3.
- Galic, M., Jeong, S., Tsai, F.C., Joubert, L.M., Wu, Y.I., Hahn, K.M., Cui, Y., and Meyer, T. (2012). External push and internal pull forces recruit curvature-sensing N-BAR domain proteins to the plasma membrane. Nature cell biology 14, 874-881.