B 8 - Formation of stress fibers in adult stem cells

Biological cells respond to mechanical cues as they do to biochemical signals. Despite many experimental studies on mechano-sensitivity of cells, a detailed understanding of the underlying biophysical principles is still lacking. This project focuses on the early stage of mechano-guided differentiation of human mesenchymal stem cells and aims at elucidating the structure and organization of cytoskeletal elements and their temporal evolution. We will employ high resolution microscopy together with state-of-the-art biochemical techniques to visualize and control the development of the cytoskeleton in parallelized time lapse imaging under physiological conditions established within the second funding period. Concurrently, stochastic geometric image and statistical pattern recognition methods will be developed, based on filament sensing and statistical multiscale methods developed in the previous funding period, that render significant structure ? and change of structure ? information in nearly real time, to efficiently process the information gained from these experiments.

Members of this project:

Prof. Dr. Stephan Huckemann
Prof. Dr. Tatyana Krivobokova
Dr. Florian Rehfeldt
Dr. Benjamin Eltzner
Lara Hauke

Software (Project B08)


Paknikar, A. K., Eltzner, B. and Köster, S. (2018)
Direct characterization of cytoskeletal reorganization during blood platelet spreading
Progress in Biophysics and Molecular Biology, DOI:10.1016/j.pbiomolbio.2018.05.001

Heidemann, K. M., Sageman-Furnas, A. O., Sharma, A., Rehfeldt, F., Schmidt, C. F. and Wardetzky, M. (2018)
Topology determines force distributions in one-dimensional random spring networks
Phys. Rev. E, 97: 022306

Chizhik, A. M., Wollnik, C., Ruhlandt, D., Karedla, N., Chizhik, A. I., Hauke, L., Hähnel, D., Gregor, I., Enderlein, J. and Rehfeldt, F. (2018)
Dual-color metal-induced and Förster resonance energy transfer for cell nanoscopy
Molecular biology of the cell, 29(7): 846-851, DOI:org/10.1091/mbc.E17-05-0314

Bernhardt, M., Nicolas, J.-D., Eckermann, M., Eltzner, B., Rehfeldt, F. and Salditt, T. (2017)
Anisotropic x-ray scattering and orientation fields in cardiac tissue cells
New J. Phys., 19: 013012, DOI:doi:10.1088/1367-2630/19/1/013012

Huckemann, S. F. and Eltzner, B. (2017)
Backward Nested Descriptors Asymptotics with Inference on Stem Cell Differentiation
Ann. Statist., DOI:arXiv:1609.00814v1

The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation
Bernoulli, 22(4): 2113?2142, DOI:10.3150/15-BEJ722

Bernhardt, M., Priebe, M., Osterhoff, M., Wollnik, C., Diaz, A., Salditt, T. and Rehfeldt, F. (2016)
X-Ray Micro- and Nanodiffraction Imaging on Human Mesenchymal Stem
Cells and Differentiated Cells

Biophysical Journal, 110(3): 680-690, DOI:10.1016/j.bpj.2015.12.017

Peter, P., Weickert, J., Munk, A., Krivobokova, T. and Li, H. (2015)
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images
Energy Minimization Methods in Computer Vision and Pattern Recognition,,(Volume 8932 of the series Lecture Notes in Computer Science): 263-277

Hartmann, A., Huckemann, S., Dannemann, J., Laitenberger, O., Geisler, C., Egner, A. and Munk, A. (2015)
Drift estimation in sparse sequential dynamic imaging, with application to nanoscale fluorescence microscopy
Journal of the Royal Statistical Society: Series B (Statistical Methodology), DOI:doi: 10.1111/rssb.12128

Eltzner, B., Wollnik, C., Gottschlich, C., Huckemann, S. and Rehfeldt, F. (2015)
The Filament Sensor for Near Real-Time Detection of Cytoskeletal Fiber Structures
PLOS ONE: 1-16, DOI:10.1371/journal.pone.0126346

Hartmann, A., Huckemann, S., Dannemann, J., Laitenberger, O., Geisler, C., Egner, A. and Munk, A. (2014)
Drift Estimation in Sparse Sequential Dynamic Imaging: with Application to Nanoscale Fluorescence Microscopy
arXivopen access,

Huckemann, S. F., Kim, K.-r., Munk, A., Rehfeldt, F., Sommerfeld, M., Weickert, J. and Wollnik, C. (2006)
The circular SiZer, inferred persistence of shape parameters and application to stem cell stress fibre structures
arXiv: 1-26

Kaliman, S., Jayachandran, C., Rehfeldt, F. and Smith, A.-S. (2014)
Novel growth regime of MDCK II model tissues on soft substrates.
Biophys. J., 106(7): L25-8, DOI:10.1016/j.bpj.2013.12.056