pyTFM: A tool for traction force and monolayer stress microscopy

0554346 - ÚMG 2022 RIV US eng J - Článek v odborném periodiku
Bauer, A. - Přechová, Magdalena - Fischer, L. - Thievessen, I. - Gregor, Martin - Fabry, B.
pyTFM: A tool for traction force and monolayer stress microscopy.
PLoS Computational Biology. Roč. 17, č. 6 (2021), č. článku e1008364. ISSN 1553-734X. E-ISSN 1553-7358
Grant CEP: GA MZd NV17-31538A; GA MŠMT LTC17063
Institucionální podpora: RVO:68378050
Klíčová slova: intracellular stresses * cells * locomotion * fields
Obor OECD: Biochemistry and molecular biology
Impakt faktor: 4.779, rok: 2021
Způsob publikování: Open access
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008364

Cellular force generation and force transmission are of fundamental importance for numerous biological processes and can be studied with the methods of Traction Force Microscopy (TFM) and Monolayer Stress Microscopy. Traction Force Microscopy and Monolayer Stress Microscopy solve the inverse problem of reconstructing cell-matrix tractions and inter- and intra-cellular stresses from the measured cell force-induced deformations of an adhesive substrate with known elasticity. Although several laboratories have developed software for Traction Force Microscopy and Monolayer Stress Microscopy computations, there is currently no software package available that allows non-expert users to perform a full evaluation of such experiments. Here we present pyTFM, a tool to perform Traction Force Microscopy and Monolayer Stress Microscopy on cell patches and cell layers grown in a 2dimensional environment. pyTFM was optimized for ease-of-use, it is open-source and well documented (hosted at https://pytfm.readthedocs.io/) including usage examples and explanations of the theoretical background. pyTFM can be used as a standalone Python package or as an add-on to the image annotation tool ClickPoints. In combination with the ClickPoints environment, pyTFM allows the user to set all necessary analysis parameters, select regions of interest, examine the input data and intermediary results, and calculate a wide range of parameters describing forces, stresses, and their distribution. In this work, we also thoroughly analyze the accuracy and performance of the Traction Force Microscopy and Monolayer Stress Microscopy algorithms of pyTFM using synthetic and experimental data from epithelial cell patches.
Trvalý link: http://hdl.handle.net/11104/0328984