Dresden 2020 – wissenschaftliches Programm
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BP 9.5: Poster
Montag, 16. März 2020, 17:30–19:30, P2/2OG
Filament Sensor - A tool for near real-time analysis of stress fiber formation in stem cells — •Lara Hauke1, Benjamin Eltzner2, Carina Wollnik1, Stephan Huckemann2, and Florian Rehfeldt1 — 1University of Göttingen, Third Institute of Physics - Biophysics, Germany — 2University of Göttingen, Institute for Mathematical Stochastics, Germany
Mechanically induced differentiation of hMSC is dependent on Young's elastic modulus E of the microenvironment. While changes in lineage-specific protein expression occur over a period of days to weeks, the pattern formation of the cytoskeleton shows significant differences within the first 24 hours after seeding, therefore, quantified by an order parameter S, being an early morphological marker for mechano-induced differentiation . We use a massively parallel live-cell imaging set-up to record cells under physiological conditions over a period of 24-48 hours to obtain a large, statistically sufficient data set. We aim for a full representation of filament processes over time and space. In contrast to the classification of stress fibers based on their location, we use an unbiased classification due to their temporal and spatial persistence. For this task we developed the 'Filament Sensor' [2, 3], a freely available tool for near real-time analysis of stress fibers. We present experimental data where we can distinguish the cytoskeletal structures of hMSCs on various elastic substrates with 99 % confidence. We are working on single filament tracking, 3D filament tracing, and correlation of focal adhesions and stress fibers. A. Zemel, et al., Nat. Phys., 2010 filament-sensor.de B. Eltzner, et al., PLoS One, 2015