DOI: https://doi.org/10.4414/smw.2013.13766
Mechanics are part of our everyday life. For the father teaching his son to catch a ball as for the commuter running to catch a train, cells cooperate to allow bones, tissues, and other structures to perceive and respond to mechanical force. Throughout their lifetime, cells experience mechanical stimulation. Depending on the cell’s location, such stimuli may be in the form of tension, compression, or shear, and may be static or cyclic [1–4]. As a result, cells have evolved the ability to sense and respond to their local microenvironment [5–8]. Such behaviour has intrigued scientists and inspired efforts aimed at characterising these behaviours and their underlying mechanisms. While many approaches exist [3, 9–11], we will primarily examine techniques used to define the physical forces a cell exerts on its substrate and upon neighbouring cells, and the techniques used to characterise cellular material properties.
Recent works have highlighted cell contractility and its importance in a myriad of biological processes including cell migration, embryogenesis, morphogenesis, metastasis and wound healing [12–17]. For the adherent cell to perform such tasks, the ability to contract and exert tractions on its surroundings is necessary. Cellular contractility is a mechanism that consists of complex interactions between the substrate, adhesion molecules, cytoskeletal elements and molecular motors. To measure contractile forces or tractions at the cellular level we use traction-force microscopy [17–19]. In general, tractions are obtained by measuring displacement fields generated by a single cell or a group of cells adherent to a ligand-coated, flexible substrate (fig. 1A). This flexible substrate is the underlying, supporting scaffold which cells adhere to through basal transmembrane proteins including integrins and syndecans. Embedded within that substrate are fluorescent markers that allow for the measurement of substrate deformation through conventional microscopy methods. An alternative to this approach consists of using microfabricated, elastomeric microposts [20, 21]. Using this method, the deflection caused by an adherent cell on vertically aligned microposts can be directly measured and used to deduce tractions [20, 21].
Having introduced traction microscopy, we now extend our discussion to a new technique recently developed in our lab, monolayer stress microscopy (MSM) [14, 22]. Extending our analysis from a single cell to a cell monolayer, we know that each cell is connected to its neighbour through cell-cell junctions. While the role of the cell-cell junction as both an active and a passive mechanosensor has been established, it was not until recently that its ability to establish and maintain intercellular forces and resultant stresses was discovered. The magnitude of intercellular forces regulates cell-cell contact size [23] and is dependent on substrate stiffness and Rho kinase activity [24]. Complementary experiments also revealed intercellular forces to be independent of cell size and morphology [20]. Information on the spatial and temporal characteristics of intercellular forces within a motile monolayer did not exist, however, until the development of MSM. The intercellular stress is defined as the local intercellular force per unit area of cell-cell contact [14] and is composed of two components: a normal stress, defined as the stress acting perpendicular to the local intercellular junction, and shear stress, defined as the stress acting parallel to the local intercellular junction (fig. 1B). With MSM we are now able to measure the normal and shear intercellular stress distributions within a monolayer (fig. 1C and D). Although traction force microscopy and monolayer stress microscopy provide two excellent approaches to measure tractions and intercellular stress, optical magnetic twisting cytometry provides yet another useful technique to measure cell material properties.
Optical magnetic twisting cytometry (OMTC) is used to measure cell stiffness and has proved to be useful in understanding the mechanisms of force transmission across the cell membrane [25]. In short, OMTC consists of using ligand-coated, magnetic spheres that are conjugated to cell surface receptors and exposed to a magnetic field, producing twisting torques of various magnitudes (fig. 1D). Conventional microscopy methods are used to track bead displacements, which are in turn related to various cell mechanical properties including stiffness, friction, and hysteresivity. OMTC is a useful tool in determining the effects of various chemical and mechanical perturbations on multiple cell material properties.
Cells have thoroughly demonstrated their ability to sense and respond to mechanical stretch. A well-documented response to uniaxial stretch is reinforcement [26, 27]. Reinforcement describes a phenomenon in which the cytoskeleton increases stiffness by recruiting various biomolecules in response to stretch, exhibiting an active strain-stiffening behaviour along with associated structural changes [28]. In contrast to the phenomenon of reinforcement, cells have also been shown to fluidize in response to stretch. Additional factors including actin crosslinking proteins, intracellular calcium levels, and actin fibre density and alignment are also known to contribute to cytoskeletal stiffness, reflecting the biochemical and mechanical synergy needed for cells to respond to stretch. To address these seemingly disparate results, we used OMTC to measure cell mechanical properties after various periods of stretch [29]. Following stretch, cell stiffness first rapidly and significantly decreased and then gradually increased over time, eventually returning to baseline stiffness levels, suggesting that cells in fact fluidize and resolidify in response to stretch [29] (fig. 2A). These behaviours persisted in the presence of several different chemical perturbations, with only slight changes in magnitude and temporal scale [29]. Adenosine triphosphate (ATP) depletion of the cells revealed resolidification to be ATP-dependent [29]. Our findings indicated that among mammalian cells resolidification and fluidization are universal responses [29]. We further probed fluidization by monitoring cell contractility using a method we developed called cell mapping rheometry (CMR) [28]. CMR uses a novel punch-indentation system to induce biaxial or uniaxial homogeneous deformations on cells cultured on a flexible substrate [28]. Using CMR we once again observed stretch-induced fluidization, corroborating results found previously using OMTC [28, 29].
Shifting our attention from single cells and cell monolayers, we now focus on an emergent phenomenon describing collective cellular migration: plithotaxis [14]. Cellular migration is an essential step for many physiological processes including morphogenesis, wound healing, and regeneration [12, 15], and has recently been implicated in pathological processes such as cancer metastasis [15]. Through monolayer stress microscopy we reported for the first time high-resolution normal and shear intercellular stress maps, revealing stress distributions that were extremely heterogeneous. In addition, the velocity vectors of migrating cells were found to correlate with the maximum normal stresses (or minimal shear stresses), implying that cells migrate in a direction that minimises shear stress on its cell junctions, a phenomenon we have termed plithotaxis [14] (fig. 2B). Plithotaxis represents the first physical explanation of collective cellular migration and was found to be inhibited by calcium chelation and anti-cadherin antibodies, suggesting cells must be physically linked together by cell-cell junctions to migrate via plithotaxis [14].
Stretch-induced fluidization and reinforcement, as well as plithotaxis, lead to the surprising conclusion that cells are comparable to a class of materials in physics known as soft glassy materials (SGMs). SGMs are ubiquitous in nature and include colloidal suspensions, pastes, foams, and slurries [30]. In general SGMs are known to possess the following mechanical characteristics: 1) they are soft (Young’s modulus in the vicinity of 1 kPa), 2) they exhibit “scale free” dynamics, and 3) they have frictional stresses that are proportional to their elastic stresses, with a constant of proportionality known as the hysteresivity, η (where η is on the order of 0.1) [30, 31]. SGMs can also undergo a phase transition between solid-like and liquid-like states [30]. Initial evidence that cells are analogous to SGMs was provided by Fabry et al., who reported that multiple cell types exhibit a scaling law behaviour that governs their elastic and frictional properties over a wide range of temporal scales and biological conditions [32] (fig. 2C). The cell’s elastic and frictional properties were later observed to exhibit not only a scaling law behaviour, but to be scale free as well [29]. Further supporting this concept was our finding that single cells subjected to osmotically induced compressive stress become much more solid-like, reflecting a “phase transition” from a fluid to a solid state [33]. MSM revealed intercellular stress cooperativity to become enhanced over greater cell distances when comparing intercellular stress transmission to increasing cell density over time [14], reflecting an increase in the dynamic heterogeneity of intercellular stress as cell density increased. In contrast to intercellular force cooperativity, cell migration velocity has been observed to decrease as cell density increased, a behaviour remarkably similar to a glassy system transitioning from a liquid to a solid phase [34, 35].
Although cells do exhibit characteristics similar to SGMs, the cell has been well documented to be orders of magnitude more complex than any other material currently known to be a SGM. Therefore, the classification of cells as SGMs should be used solely as a physical observation.
Having completed an overview of techniques used to probe cell mechanical properties and the behaviours elucidated from these techniques, we now illustrate how these findings provide insight into various facets of human health from normal physiology to pathophysiology, including asthma, glaucoma, and cancer. Asthma is a chronic inflammatory disease of the lung most commonly characterised by airways that constrict too easily (hypersensitivity) and too much (airway hyper-responsiveness or AHR) [36, 37]. AHR in particular is known to be the main cause of morbidity and mortality in asthmatics. To date, the mechanisms behind AHR remain largely unexplained. Many have hypothesised that the primary cause of AHR is an increase in airway smooth muscle (ASM) mass observed in asthma, producing a remodeled airway with a compromised ability to perform deep inspirations (DI), the most potent known bronchodilator [36, 38]. More recent work has shown that moderate bronchoconstriction even in the absence of airway inflammation can drive airway remodelling, underscoring the importance of controlling ASM constriction [39]. However, much of the modelling and experimentation in the past has assumed static mechanical equilibrium, although more recent work has demonstrated that AHR is driven by dynamic phenomena, underscoring the importance of studying ASM in systems that include dynamic equilibrium [36]. To shed light on the mechanism of AHR, we isolated sheep tracheal smooth muscle strips and exposed them to controlled dynamic physiological and pathophysiological loading regimes to simulate in vivo normal and asthmatic airways [36]. Normal airways subjected to DI dilated and constricted as expected from a normal in vivo setting; however the much thicker, asthmatic airways subjected to DI not only failed to dilate, but in fact constricted further. Later single cell studies conducted by our laboratory complemented our tissue studies [29], leading us to propose that in normal airways the stretch of ASM from DI fluidizes the cytoskeleton (CSK) since load fluctuations induced on the ASM by DI induces periodic attachment and detachment events between myosin and actin [40], relaxing the muscle. In asthma, however, actin-myosin contraction is perturbed as there are far more attachment events then detachment events. In short, at any given time more myosin is attached to actin, producing a much stiffer ASM. A stiffer ASM results in less stretch during DI (as the muscle is less compliant), causing further stiffening as fluidization is blocked. This vicious cycle ultimately culminates in the collapse of the CSK, and therefore, airway smooth muscle moves into a frozen state [40]. The abnormal airway cannot respond to DI as it is too stiff to deform and fluidize (fig. 3A).
A leading cause of irreversible blindness in the world is glaucoma [41]. In most cases, vision loss is associated with partial blockage of aqueous humour drainage from the eye, resulting in abnormally high intraocular pressure [42]. Unfortunately the underlying mechanism of this abnormal fluid drainage is poorly understood [43]. The aqueous humour is known to pass mainly through the trabecular meshwork and then through pores formed in the endothelium of the Schlemm’s canal (SC). The SC endothelium experiences an intense pressure gradient, which dramatically deforms the SC and potentially contributes to the formation of pores. SC cells therefore reside in a uniquely stressful mechanical environment, leading us as well as others to hypothesise that SC stiffness may modulate aqueous humour outflow resistance [43]. Initial SC endothelial cell stiffness measurement using atomic force microscopy revealed cell stiffness not qualitatively different from that of endothelial cells from other anatomic sites [44]. However, the relationship between SC stiffness and aqueous humour outflow resistance remained unanswered. To address this Zhou et al. used drugs known to change the outflow resistance of perfused eyes and tested their effect on the stiffness of SC cells using OMTC [45]. Interestingly, drugs known to increase outflow resistance through the SC caused SC cell stiffness to increase, whereas drugs known to decrease outflow resistance caused cell stiffness to decrease (fig. 3B). These data support the idea that the SC endothelial cell can modulate outflow resistance. Pathologically high outflow resistance could potentially arise as a consequence of high SC cell stiffness, which can potentially serve as a therapeutic target for glaucoma treatment. Indeed, drugs targeting cytoskeleton and Rho kinase pathway are currently in clinical trials for lowering intraocular pressure [46].
Cancer is among the leading causes of mortality in the world. Cancer is most commonly characterised by uncontrolled growth of abnormal cells and tumour metastasis. Recent research has revealed collective cellular migration to be related to this devastating disease [15], providing an excellent opportunity to examine cell migration in the context of cancer using MSM. Using the MCF10A breast cancer cell line, we compared the migratory behaviour of cells over-expressing the oncogenes ErbB2 (HER-2/Neu) or 14-3-3ζ, and control cells. ErbB2 is overexpressed in 20%–80% of tumours and this overexpression is especially prominent in the early stages of breast cancer [47, 48]. Additionally, ErbB2 disrupts tight junctions and epithelial monolayer polarity. On the other hand, 14-3-3ζ is overexpressed in advanced stages of cancer and known to enhance anchorage independent growth and inhibit stress-induced apoptosis [49]. Control cells migrated via plithotaxis [14]. However, cells overexpressing ErbB2 also exhibited plithotaxis-guided migration while cells overexpressing 14-3-3ζ did not, suggesting breast cancer metastasis is guided by plithotaxis before but not after epithelial-mesenchymal transition [14] (fig. 3C).
We have presented mechanical behaviours and material properties of cells that illustrate physical mechanisms behind both physiological and pathological processes, encouraging researchers to rethink the complex interplay that exists between cell mechanical properties and human health. The ability of cells to fluidize and resolidify in response to mechanical stimulation and collectively migrate by plithotaxis are discoveries that, while exciting, are only in their infancy. Currently there are more questions than answers in the field of cell mechanics. For example, in what other physiological systems would fluidization and resolidification apply? To what extent does plithotaxis hold up in vivo? Finally, the concept of cells being comparable to SGM remains a topic of intense debate as more in-depth studies are needed. As there still exist many unknowns, these newly defined concepts reveal only the tip of the iceberg of the underlying physical phenomena that influence health and disease.
1 Garanich JS, Mathura RA, Shi ZD, Tarbell JM. Effects of fluid shear stress on adventitial fibroblast migration: implications for flow-mediated mechanisms of arterialization and intimal hyperplasia. Am J Physiol Heart Circ Physiol. 2007;292(6):H3128–35.
2 Butcher JT, Penrod AM, Garcia AJ, Nerem RM. Unique morphology and focal adhesion development of valvular endothelial cells in static and fluid flow environments. Arterioscler Thromb Vasc Biol. 2004;24(8):1429–34.
3 Cheng CM, Steward RL, Jr., LeDuc PR. Probing cell structure by controlling the mechanical environment with cell-substrate interactions. J Biomech. 2009;42(2):187–92.
4 Owan I, Burr DB, Turner CH, Qiu J, Tu Y, Onyia JE, et al. Mechanotransduction in bone: osteoblasts are more responsive to fluid forces than mechanical strain. Am J Physiol. 1997;273(3 Pt 1):C810–5.
5 Kung C. A possible unifying principle for mechanosensation. Nature. 2005;436(7051):647–54.
6 Eastwood M, McGrouther DA,Brown RA. Fibroblast responses to mechanical forces. Proceedings of the Institution of Mechanical Engineers. 1998;212(H):85–92.
7 Hu S, Eberhard L, Chen J, Love JC, Butler JP, Fredberg JJ, et al. Mechanical anisotropy of adherent cells probed by a three-dimensional magnetic twisting device. Am J Physiol Cell Physiol. 2004;287(5):C1184–91.
8 Smith PG, Deng L, Fredberg JJ, Maksym GN. Mechanical strain increases cell stiffness through cytoskeletal filament reorganization. Am J Physiol Lung Cell Mol Physiol. 2003;285(2):L456–63.
9 Steward RL, Jr., Cheng CM, Wang DL, Leduc PR. Probing Cell Structure Responses Through a Shear and Stretching Mechanical Stimulation Technique. Cell BIochem Biophys. 2009.
10 Puig-De-Morales M, Grabulosa M, Alcaraz J, Mullol J, Maksym GN, Fredberg JJ, et al. Measurement of cell microrheology by magnetic twisting cytometry with frequency domain demodulation. J Appl Physiol. 2001;91(3):1152–9.
11 Bellin RM, Kubicek JD, Frigault MJ, Kamien AJ, Steward RL, Jr., Barnes HM, et al. Defining the role of syndecan-4 in mechanotransduction using surface-modification approaches. Proc Natl Acad Sci U S A 2009;106(52):22102–7.
12 Ridley AJ, Schwartz MA, Burridge K, Firtel RA, Ginsberg MH, Borisy G, et al. Cell migration: integrating signals from front to back. Science. 2003;302(5651):1704–9.
13 Larsen M, Wei C, Yamada KM. Cell and fibronectin dynamics during branching morphogenesis. J Cell Sci. 2006;119(Pt 16):3376–84.
14 Tambe DT, Hardin CC, Angelini TE, Rajendran K, Park CY, Serra-Picamal X, et al. Collective cell guidance by cooperative intercellular forces. Nat Mater. 2011;10(6):469–75.
15 Friedl P, Hegerfeldt Y, Tusch M. Collective cell migration in morphogenesis and cancer. Int J Dev Biol. 2004;48(5-6):441–9.
16 Rorth P. Collective guidance of collective cell migration. Trends Cell Biol. 2007;17(12):575–9.
17 Trepat X, Wasserman MR, Angelini TE, Millet E, Weitz DA, Butler JP, et al. Physical forces during collective migration. Nature Physics. 2009;5:426–30.
18 Dembo M, Wang YL. Stresses at the cell-to-substrate interface during locomotion of fibroblasts. Biophys J. 1999;76(4):2307–16.
19 Butler JP, Tolic-Norrelykke IM, Fabry B, Fredberg JJ. Traction fields, moments, and strain energy that cells exert on their surroundings. Am J Physiol Cell Physiol. 2002;282(3):C595–605.
20 Maruthamuthu V, Sabass B, Schwarz US, Gardel ML. Cell-ECM traction force modulates endogenous tension at cell-cell contacts. Proc Natl Acad Sci. U S A. 2011;108(12):4708–13.
21 Sniadecki NJ, Chen CS. Microfabricated silicone elastomeric post arrays for measuring traction forces of adherent cells. Methods Cell Biol. 2007;83:313–28.
22 Trepat X, Fredberg JJ. Plithotaxis and emergent dynamics in collective cellular migration. Trends Cell Biol. 2011;21(11):638–46.
23 Liu Z, Tan JL, Cohen DM, Yang MT, Sniadecki NJ, Ruiz SA, et al. Mechanical tugging force regulates the size of cell-cell junctions. Proc Natl Acad Sci. U S A. 2010;107(22):9944–9.
24 Krishnan R, Klumpers DD, Park CY, Rajendran K, Trepat X, van Bezu J, et al. Substrate stiffening promotes endothelial monolayer disruption through enhanced physical forces. Am J Physiol Cell Physiol. 2011;300(1):C146–54.
25 Wang N, Butler JP, Ingber DE. Mechanotransduction across the cell surface and through the cytoskeleton. Science. 1993;260(5111):1124–7.
26 Choquet D, Felsenfeld DP, Sheetz MP. Extracellular matrix rigidity causes strengthening of integrin-cytoskeleton linkages. Cell. 1997;88(1):39–48.
27 Matthews BD, Overby DR, Mannix R, Ingber DE. Cellular adaptation to mechanical stress: role of integrins, Rho, cytoskeletal tension and mechanosensitive ion channels. J Cell Sci. 2006;119(Pt 3):508–18.
28 Krishnan R, Park CY, Lin YC, Mead J, Jaspers RT, Trepat X, et al. Reinforcement versus fluidization in cytoskeletal mechanoresponsiveness. PLoS One. 2009;4(5):e5486.
29 Trepat X, Deng L, An SS, Navajas D, Tschumperlin DJ, Gerthoffer WT, et al. Universal physical responses to stretch in the living cell. Nature. 2007;447(7144):592–5.
30 Sollich P, Lequeneux F, Hebraud P, Cates ME. Rheology of soft glassy materials. Physiol Rev Lett. 1997;78:2020–23.
31 Sollich P. Rheological constitutive equation for a model of soft glassy materials. Phys Rev E. 1998;58:738–59.
32 Fabry B, Maksym GN, Butler JP, Glogauer M, Navajas D, Taback NA, et al. Time scale and other invariants of integrative mechanical behavior in living cells. Phys Rev E Stat Nonlin Soft Matter Phys. 2003;68(4Pt1):041914.
33 Zhou EH, Trepat X, Park CY, Lenormand G, Oliver MN, Mijailovich SM, et al. Universal behavior of the osmotically compressed cell and its analogy to the colloidal glass transition. Proc Natl Acad Sci. U S A. 2009;106(26):10632–7.
34 Krishnan R, Trepat X, Nguyen TT, Lenormand G, Oliver M, Fredberg JJ. Airway smooth muscle and bronchospasm: fluctuating, fluidizing, freezing. Respir Physiol Neurobiol. 2008;163(1-3):17–24.
35 Angelini TE, Hannezo E, Trepat X, Marquez M, Fredberg JJ, Weitz DA. Glass-like dynamics of collective cell migration. Proc Natl Acad Sci. U S A. 2011;108(12):4714–9.
36 Oliver MN, Fabry B, Marinkovic A, Mijailovich SM, Butler JP, Fredberg JJ. Airway hyperresponsiveness, remodeling, and smooth muscle mass: right answer, wrong reason? Am J Respir Cell Mol Biol. 2007;37(3):264–72.
37 Fredberg JJ. Airway smooth muscle in asthma: flirting with disaster. Eur Respir J. 1998;12(6):1252–6.
38 Wiggs BR, Bosken C, Pare PD, James A, Hogg JC. A model of airway narrowing in asthma and in chronic obstructive pulmonary disease. Am Rev Respir Dis. 1992;145(6):1251–8.
39 Tschumperlin DJ. Physical forces and airway remodeling in asthma. N Engl J Med. 2011;364(21):2058–9.
40 Fredberg JJ. Frozen objects: small airways, big breaths, and asthma. J Allergy Clin Immunol. 2000;106(4):615–24.
41 Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006;90(3):262–7.
42 Kwon YH, Fingert JH, Kuehn MH, Alward WL. Primary open-angle glaucoma. N Engl J Med. 2009;360(11):1113–24.
43 Johnson M. “What controls aqueous humour outflow resistance?”. Exp Eye Res. 2006;82(4):545–57.
44 Zeng D, Juzkiw T, Read AT, Chan DW, Glucksberg MR, Ethier CR, et al. Young’s modulus of elasticity of Schlemm’s canal endothelial cells. Biomech Model Mechanobiol. 2010;9(1):19–33.
45 Zhou EH, Krishnan R, Stamer WD, Perkumas KM, Rajendran K, Nabhan JF, et al. Mechanical responsiveness of the endothelial cell of Schlemm’s canal: scope, variability and its potential role in controlling aqueous humour outflow. J R Soc Interface. 2012;9(71):1144–55.
46 Tian B, Kaufman PL. Comparisons of actin filament disruptors and Rho kinase inhibitors as potential antiglaucoma medications. Expert Rev Ophthalmol. 2012;7(2):177–87.
47 Lu J, Steeg PS, Price JE, Krishnamurthy S, Mani SA, Reuben J, et al. Breast cancer metastasis: challenges and opportunities. Cancer Res 2009;69(12):4951–3.
48 Muthuswamy SK, Li D, Lelievre S, Bissell MJ, Brugge JS. ErbB2, but not ErbB1, reinitiates proliferation and induces luminal repopulation in epithelial acini. Nat Cell Biol. 2001;3(9):785–92.
49 Neal CL, Yao J, Yang W, Zhou X, Nguyen NT, Lu J, et al. 14-3-3zeta overexpression defines high risk for breast cancer recurrence and promotes cancer cell survival. Cancer Res. 2009;69(8):3425-32.
Funding / potential competing interests: No financial support and no other potential conflict of interest relevant to this article was reported.