Solnica-Krezel, L. & Eaton, S. Embryo morphogenesis: getting down to cells and molecules. Development 130, 4229–4233 (2003).
Nelson, C. M. & Tien, J. Microstructured extracellular matrices in tissue engineering and development. Curr. Opin. Biotechnol. 17, 518–523 (2006).
Janmey, P. A. & Miller, R. T. Mechanisms of mechanical signaling in development and disease. J. Cell Sci. 124, 9–18 (2011).
Discher, D. E., Mooney, D. J. & Zandstra, P. W. Growth factors, matrices, and forces combine and control stem cells. Science 324, 1673–1677 (2009).
Keung, A. J., Kumar, S. & Schaffer, D. V. Presentation counts: microenvironmental regulation of stem cells by biophysical and material cues. Annu. Rev. Cell Dev. Biol. 26, 533–556 (2010).
Eyckmans, J., Boudou, T., Yu, X. & Chen, C. S. A Hitchhiker’s guide to mechanobiology. Dev. Cell 21, 35–47 (2011).
Nelson, C. M. & Gleghorn, J. P. Sculpting organs: mechanical regulation of tissue development. Annu. Rev. Biomed. Eng. 14, 129–154 (2012).
Mammoto, T., Mammoto, A. & Ingber, D. E. Mechanobiology and developmental control. Annu. Rev. Cell Dev. Biol. 29, 27–61 (2013).
Sinha, R., Verdonschot, N., Koopman, B. & Rouwkema, J. Tuning cell and tissue development by combining multiple mechanical signals. Tissue Eng. Part B Rev. 23, 494–504 (2017).
Heer, N. C. & Martin, A. C. Tension, contraction and tissue morphogenesis. Development 144, 4249–4260 (2017).
Maechler, F. A., Allier, C., Roux, A. & Tomba, C. Curvature-dependent constraints drive remodeling of epithelia. J. Cell Sci. 132, jcs222372 (2019).
Engler, A. J., Sen, S., Sweeney, H. L. & Discher, D. E. Matrix elasticity directs stem. Cell Lineage Specif. Cell 126, 677–689 (2006).
Huebsch, N. et al. Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fate. Nat. Mater. 9, 518–526 (2010).
Acerbi, I. et al. Human breast cancer invasion and aggression correlates with ECM stiffening and immune cell infiltration. Integr. Biol. 7, 1120–1134 (2015).
Gkretsi, V. & Stylianopoulos, T. Cell adhesion and matrix stiffness: coordinating cancer cell invasion and metastasis. Front. Oncol. 8, 145 (2018).
Najafi, M., Farhood, B. & Mortezaee, K. Extracellular matrix (ECM) stiffness and degradation as cancer drivers. J. Cell. Biochem. 120, 2782–2790 (2019).
Li, Y., Fanous, M. J., Kilian, K. A. & Popescu, G. Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells. Sci. Rep. 9, 248 (2019).
Sridharan, R., Cavanagh, B., Cameron, A. R., Kelly, D. J. & O’Brien, F. J. Material stiffness influences the polarization state, function and migration mode of macrophages. Acta Biomater. https://doi.org/10.1016/j.actbio.2019.02.048 (2019).
Zahn, J. T. et al. Age-Dependent Changes in Microscale Stiffness and Mechanoresponses of Cells. Small 7, 1480–1487 (2011).
Kohn, J. C. et al. Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise. J. Biomech. 49, 1447–1453 (2016).
Proestaki, M., Ogren, A., Burkel, B. & Notbohm, J. Modulus of fibrous collagen at the length scale of a cell. Exp. Mech. https://doi.org/10.1007/s11340-018-00453-4 (2019).
Wang, N. & Ingber, D. E. Probing transmembrane mechanical coupling and cytomechanics using magnetic twisting cytometry. Biochem. Cell Biol. 73, 327–335 (1995).
Yamada, S., Wirtz, D. & Kuo, S. C. Mechanics of living cells measured by laser tracking microrheology. Biophys. J. 78, 1736–1747 (2000).
Ashkin, A. Optical trapping and manipulation of neutral particles using lasers. Proc. Natl Acad. Sci. USA 94, 4853–4860 (1997).
Baker, B. M. et al. Cell-mediated fibre recruitment drives extracellular matrix mechanosensing in engineered fibrillar microenvironments. Nat. Mater. 14, 1262–1268 (2015).
Buxboim, A., Rajagopal, K., Brown, A. E. X. & Discher, D. E. How deeply cells feel: methods for thin gels. J. Phys. Condens. Matter Inst. Phys. J. 22, 194116 (2010).
Serwane, F. et al. In vivo quantification of spatially varying mechanical properties in developing tissues. Nat. Methods 14, 181–186 (2017).
Pelton, R. Poly(N-isopropylacrylamide) (PNIPAM) is never hydrophobic. J. Colloid Interface Sci. 348, 673–674 (2010).
Ward, M. A. & Georgiou, T. K. Thermoresponsive. Polym. Biomed. Appl. Polym. 3, 1215–1242 (2011).
Lee, W. et al. Dispersible hydrogel force sensors reveal patterns of solid mechanical stress in multicellular spheroid cultures. Nat. Commun. 10, 144 (2019).
Ma, X. et al. Fibers in the extracellular matrix enable long-range stress transmission between cells. Biophys. J. 104, 1410–1418 (2013).
Gancheva, T. & Virgilio, N. Enhancing and tuning the response of environmentally sensitive hydrogels with embedded and interconnected pore networks. Macromolecules 49, 5866–5876 (2016).
Bhan, C., Mandlewala, R., Gebregeorgis, A. & Raghavan, D. Adsorption–desorption study of BSA conjugated silver nanoparticles (Ag/BSA NPs) on collagen immobilized substrates. Langmuir 28, 17043–17052 (2012).
Ellmerer, M. et al. Measurement of interstitial albumin in human skeletal muscle and adipose tissue by open-flow microperfusion. Am. J. Physiol. Endocrinol. Metab. 278, E352–E356 (2000).
Tevis, K. M., Colson, Y. L. & Grinstaff, M. W. Embedded spheroids as models of the cancer microenvironment. Adv. Biosyst. 1, 1700083 (2017).
Zhao, L., Mok, S. & Moraes, C. Micropocket hydrogel devices for all-in-one formation, assembly, and analysis of aggregate-based tissues. Biofabrication https://doi.org/10.1088/1758-5090/ab30b4 (2019)
Atefi, E., Lemmo, S., Fyffe, D., Luker, G. D. & Tavana, H. High throughput, polymeric aqueous two-phase printing of tumor spheroids. Adv. Funct. Mater. 24, 6509–6515 (2014).
Dolega, M. E. et al. Cell-like pressure sensors reveal increase of mechanical stress towards the core of multicellular spheroids under compression. Nat. Commun. 8, 14056 (2017).
Montel, F. et al. Stress clamp experiments on multicellular tumor spheroids. Phys. Rev. Lett. 107, 188102 (2011).
Taloni, A., Ben Amar, M., Zapperi, S. & La Porta, C. A. M. The role of pressure in cancer growth. Eur. Phys. J. 130, 224 (2015).
Cisneros Castillo, L. R., Oancea, A.-D., Stüllein, C. & Régnier-Vigouroux, A. Evaluation of consistency in spheroid invasion assays. Sci. Rep. 6, 28375 (2016).
Swaminathan, V. et al. Mechanical stiffness grades metastatic potential in patient tumor cells and in cancer cell lines. Cancer Res. 71, 5075–5080 (2011).
Fenner, J. et al. Macroscopic stiffness of breast tumors predicts metastasis. Sci. Rep. 4, 5512 (2014).
Nia, H. T. et al. Solid stress and elastic energy as measures of tumour mechanopathology. Nat. Biomed. Eng. 1, 0004 (2017).
Boyd, N. F. et al. Evidence that breast tissue stiffness is associated with risk of breast cancer. PLoS ONE 9, e100937 (2014).
Levental, K. R. et al. Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling. Cell 139, 891–906 (2009).
Lang, N. R. et al. Biphasic response of cell invasion to matrix stiffness in three-dimensional biopolymer networks. Acta Biomater. 13, 61–67 (2015).
Wang, W. Y., Davidson, C. D., Lin, D. & Baker, B. M. Actomyosin contractility-dependent matrix stretch and recoil induces rapid cell migration. Nat. Commun. 10, 1186 (2019).
Plodinec, M. et al. The nanomechanical signature of breast cancer. Nat. Nanotechnol. 7, 757–765 (2012).
Liu, H. et al. In Situ Mechanical Characterization of the Cell Nucleus by Atomic Force Microscopy. ACS Nano 8, 3821–3828 (2014).
Kasza, K. E. et al. The cell as a material. Curr. Opin. Cell Biol. 19, 101–107 (2007).
Chang, J. M. et al. Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer. Eur. Radiol. 23, 2450–2458 (2013).
Pulaski, B. A. & Ostrand‐Rosenberg, S. Mouse 4T1 breast tumor model. Curr. Protoc. Immunol. 39, 20.2.1–20.2.16 (2000).
Voutouri, C. & Stylianopoulos, T. Accumulation of mechanical forces in tumors is related to hyaluronan content and tissue stiffness. PLoS ONE 13, e0193801 (2018).
Stylianopoulos, T. et al. Causes, consequences, and remedies for growth-induced solid stress in murine and human tumors. Proc. Natl Acad. Sci. USA 109, 15101–15108 (2012).
Agus, D. B. et al. A physical sciences network characterization of non-tumorigenic and metastatic cells. Sci. Rep. 3, 1449 (2013).
Han, Y. L. et al. Cell swelling, softening and invasion in a three-dimensional breast cancer model. Nat. Phys. https://doi.org/10.1038/s41567-019-0680-8 (2019).
Paszek, M. J. et al. Tensional homeostasis and the malignant phenotype. Cancer Cell 8, 241–254 (2005).
Lopez, J. I., Kang, I., You, W.-K., McDonald, D. M. & Weaver, V. M. In situ force mapping of mammary gland transformation. Integr. Biol. 3, 910–921 (2011).
Chaudhuri, O. et al. Hydrogels with tunable stress relaxation regulate stem cell fate and activity. Nat. Mater. 15, 326–334 (2016).
Pei, Y. et al. The effect of pH on the LCST of poly(N-isopropylacrylamide) and poly(N-isopropylacrylamide-co-acrylic acid). J. Biomater. Sci. Polym. Ed. 15, 585–594 (2004).
Zhang, X., Lin, Y. & Gillies, R. J. Tumor pH and its measurement. J. Nucl. Med. 51, 1167–1170 (2010).
Sunyer, R., Trepat, X., Fredberg, J. J., Farré, R. & Navajas, D. The temperature dependence of cell mechanics measured by atomic force microscopy. Phys. Biol. 6, 025009 (2009).
Demetri-Lewis, A., Slanetz, P. J. & Eisenberg, R. L. Breast calcifications: the focal group. Am. J. Roentgenol. 198, W325–W343 (2012).
Ham, S. L., Atefi, E., Fyffe, D. & Tavana, H. Robotic production of cancer cell spheroids with an aqueous two-phase system for drug testing. J. Vis. Exp. e52754 (2015).
Dougherty, R. Extensions of DAMAS and Benefits and Limitations of Deconvolution in Beamforming. In 11th AIAA/CEAS Aeroacoustics Conference https://doi.org/10.2514/6.2005-2961 (American Institute of Aeronautics and Astronautics, 2005).
Takigawa, T., Morino, Y., Urayama, K. & Masuda, T. Poisson’s ratio of polyacrylamide (PAAm) gels. Polym. Gels Netw. 4, 1–5 (1996).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
Maas, S. A., Ellis, B. J., Ateshian, G. A. & Weiss, J. A. FEBio: finite elements for biomechanics. J. Biomech. Eng. 134, 11005–11 (2012).
Maas, S. A., Erdemir, A., Halloran, J. P. & Weiss, J. A. A general framework for application of prestrain to computational models of biological materials. J. Mech. Behav. Biomed. Mater. 61, 499–510 (2016).