Journal
METHODS
Volume 94, Issue -, Pages 85-100Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2015.09.012
Keywords
Atomic force microscopy; Cell-derived matrices; Extracellular matrix; Young modulus; Topography; Cell culture
Funding
- CNIC, Madrid, Spain
- FCCC, Philadelphia, USA
- French National Cancer Institute (INCa)
- Ligue Contre le Cancer
- Inserm
- University of Strasbourg
- Spanish Ministry of Science and Innovation [MAT2009-08650]
- INSERM/Region Alsace
- FRM engineer fellowship
- INCa grant (Strasbourg, France) [U1109]
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Mechanical interaction between cells and their surrounding extracellular matrix (ECM) controls key processes such as proliferation, differentiation and motility. For many years, two-dimensional (2D) models were used to better understand the interactions between cells and their surrounding ECM. More recently, variation of the mechanical properties of tissues has been reported to play a major role in physiological and pathological scenarios such as cancer progression. The 3D architecture of the ECM finely tunes cellular behavior to perform physiologically relevant tasks. Technical limitations prevented scientists from obtaining accurate assessment of the mechanical properties of physiologically realistic matrices. There is therefore a need for combining the production of high-quality cell-derived 3D matrices (CDMs) and the characterization of their topographical and mechanical properties. Here, we describe methods that allow to accurately measure the young modulus of matrices produced by various cellular types. In the first part, we will describe and review several protocols for generating CDMs matrices from endothelial, epithelial, fibroblastic, muscle and mesenchymal stem cells. We will discuss tools allowing the characterization of the topographical details as well as of the protein content of such CDMs. In a second part, we will report the methodologies that can be used, based on atomic force microscopy, to accurately evaluate the stiffness properties of the CDMs through the quantification of their young modulus. Altogether, such methodologies allow characterizing the stiffness and topography of matrices deposited by the cells, which is key for the understanding of cellular behavior in physiological conditions. (C) 2015 Elsevier Inc. All rights reserved.
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