Collective forces of tumor spheroids in three-dimensional biopolymer networks

Author:

Mark Christoph1ORCID,Grundy Thomas J23,Strissel Pamela L4,Böhringer David1,Grummel Nadine1,Gerum Richard1,Steinwachs Julian1,Hack Carolin C4,Beckmann Matthias W4,Eckstein Markus5,Strick Reiner4,O'Neill Geraldine M23,Fabry Ben1

Affiliation:

1. Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany

2. Children's Cancer Research Unit, The Children's Hospital at Westmead, Sydney, Australia

3. School of Medical Sciences and Children’s Hospital at Westmead Clinical School, University of Sydney, Sydney, Australia

4. Department of Gynecology and Obstetrics, Laboratory for Molecular Medicine, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany

5. Institute of Pathology, University Hospital Erlangen, Erlangen, Germany

Abstract

We describe a method for quantifying the contractile forces that tumor spheroids collectively exert on highly nonlinear three-dimensional collagen networks. While three-dimensional traction force microscopy for single cells in a nonlinear matrix is computationally complex due to the variable cell shape, here we exploit the spherical symmetry of tumor spheroids to derive a scale-invariant relationship between spheroid contractility and the surrounding matrix deformations. This relationship allows us to directly translate the magnitude of matrix deformations to the total contractility of arbitrarily sized spheroids. We show that our method is accurate up to strains of 50% and remains valid even for irregularly shaped tissue samples when considering only the deformations in the far field. Finally, we demonstrate that collective forces of tumor spheroids reflect the contractility of individual cells for up to 1 hr after seeding, while collective forces on longer timescales are guided by mechanical feedback from the extracellular matrix.

Funder

Deutsche Forschungsgemeinschaft

Emerging Fields Initiative of the University of Erlangen-Nuremberg

German Academic Exchange Service

National Institutes of Health

Australian Government Research Training Program Scholarship

Petersen Foundation

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference48 articles.

1. A Python package to conduct 3D Traction Force Microscopy on multicellular aggregates (spheroids);Böhringer,2020

2. Quantitative image analysis for investigating Cell-Matrix interactions;Burkel,2017

3. Traction fields, moments, and strain energy that cells exert on their surroundings;Butler;American Journal of Physiology-Cell Physiology,2002

4. Leading malignant cells initiate collective epithelial cell invasion in a three-dimensional heterotypic tumor spheroid model;Carey;Clinical & Experimental Metastasis,2013

5. Mechanobiology of tumor growth;Chaudhuri;Chemical Reviews,2018

Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3