David Böhringer , Andreas Bauer , Ivana Moravec , Lars Bischof , Delf Kah , Christoph Mark , Thomas J. Grundy , Ekkehard Görlach , Geraldine M O’Neill , Silvia Budday , Pamela L. Strissel , Reiner Strick , Andrea Malandrino , Richard Gerum , Michael Mak , Martin Rausch , Ben Fabry
{"title":"Fiber alignment in 3D collagen networks as a biophysical marker for cell contractility","authors":"David Böhringer , Andreas Bauer , Ivana Moravec , Lars Bischof , Delf Kah , Christoph Mark , Thomas J. Grundy , Ekkehard Görlach , Geraldine M O’Neill , Silvia Budday , Pamela L. Strissel , Reiner Strick , Andrea Malandrino , Richard Gerum , Michael Mak , Martin Rausch , Ben Fabry","doi":"10.1016/j.matbio.2023.11.004","DOIUrl":null,"url":null,"abstract":"<div><p><span>Cells cultured in 3D fibrous biopolymer matrices exert traction forces on their environment that induce deformations and remodeling of the fiber network. By measuring these deformations, the traction forces can be reconstructed if the mechanical properties of the matrix and the force-free matrix configuration are known. These requirements limit the applicability of traction force reconstruction in practice. In this study, we test whether force-induced matrix remodeling can instead be used as a proxy for cellular traction forces. We measure the traction forces of </span>hepatic stellate cells and different glioblastoma cell lines and quantify matrix remodeling by measuring the fiber orientation and fiber density around these cells. In agreement with simulated fiber networks, we demonstrate that changes in local fiber orientation and density are directly related to cell forces. By resolving Rho-kinase (ROCK) inhibitor-induced changes of traction forces, fiber alignment, and fiber density in hepatic stellate cells, we show that the method is suitable for drug screening assays. We conclude that differences in local fiber orientation and density, which are easily measurable, can be used as a qualitative proxy for changes in traction forces. The method is available as an open-source Python package with a graphical user interface.</p></div>","PeriodicalId":49851,"journal":{"name":"Matrix Biology","volume":"124 ","pages":"Pages 39-48"},"PeriodicalIF":4.5000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matrix Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0945053X23001166","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cells cultured in 3D fibrous biopolymer matrices exert traction forces on their environment that induce deformations and remodeling of the fiber network. By measuring these deformations, the traction forces can be reconstructed if the mechanical properties of the matrix and the force-free matrix configuration are known. These requirements limit the applicability of traction force reconstruction in practice. In this study, we test whether force-induced matrix remodeling can instead be used as a proxy for cellular traction forces. We measure the traction forces of hepatic stellate cells and different glioblastoma cell lines and quantify matrix remodeling by measuring the fiber orientation and fiber density around these cells. In agreement with simulated fiber networks, we demonstrate that changes in local fiber orientation and density are directly related to cell forces. By resolving Rho-kinase (ROCK) inhibitor-induced changes of traction forces, fiber alignment, and fiber density in hepatic stellate cells, we show that the method is suitable for drug screening assays. We conclude that differences in local fiber orientation and density, which are easily measurable, can be used as a qualitative proxy for changes in traction forces. The method is available as an open-source Python package with a graphical user interface.
期刊介绍:
Matrix Biology (established in 1980 as Collagen and Related Research) is a cutting-edge journal that is devoted to publishing the latest results in matrix biology research. We welcome articles that reside at the nexus of understanding the cellular and molecular pathophysiology of the extracellular matrix. Matrix Biology focusses on solving elusive questions, opening new avenues of thought and discovery, and challenging longstanding biological paradigms.