Abstract
Dynamic imaging of the extracellular matrix (ECM) and cells can reveal how tissues are formed. Displacement differences between cells and the adjacent ECM scaffold can be used to establish active movements of mesenchymal cells. Cells can also generate large-scale tissue movements in which cell and ECM displacements are shared. We describe computational methods for analyzing multi-spectral time-lapse image sequences. The resulting data can distinguish between local “active” cellular motion versus large-scale, tissue movements, both of which occur during organogenesis. The movement data also provide the basis for construction of realistic biomechanical models and computer simulations of in vivo tissue formation.
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Acknowledgements
This work was supported by the NIH R01 grants HL087136 (AC), HL085694 (BJR), HL068855 (CDL), the Hungarian Research Fund OTKA K72664 (AC); KTIA AIK 12-1-2013-0041 (AC); and the G. Harold & Leila Y. Mathers Charitable Foundation (AC, CDL, BJR). We thank all our colleagues who contributed to this project over the years: Tracey Cheuvront, Cheng Cui, Michael Filla, Alan Petersen, Paul Rupp, Andras Szabo, and Evan Zamir.
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Aleksandrova, A., Rongish, B.J., Little, C.D., Czirók, A. (2015). Active Cell and ECM Movements During Development. In: Nelson, C. (eds) Tissue Morphogenesis. Methods in Molecular Biology, vol 1189. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1164-6_9
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DOI: https://doi.org/10.1007/978-1-4939-1164-6_9
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