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* Department of Physiology, University of Massachusetts Medical School, Worcester, Massachusetts 01605;
Department of Biomedical Engineering, and
Department of Physics, Worcester Polytechnic Institute, Worcester, Massachusetts 01609
Correspondence: Address reprint requests to Yu-li Wang, University of Massachusetts Medical School, 377 Plantation St., Suite 327, Worcester, MA 01605. Tel.: 508-856-8781; Fax: 508-856-8774; E-mail: yuli.wang{at}umassmed.edu.
| ABSTRACT |
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| INTRODUCTION |
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Although chemotaxis has been under intensive investigations for decades (4
6
), it seems difficult to explain cell migration from tissue explants, which occurs under a wide range of chemical conditions. We suspect that it is physical properties of the environment that is primarily responsible for regulating the formation and maintenance of tissues. Mechanical interactions have indeed been demonstrated to be a potent means for cell-cell and cell-substrate communications. Adherent cells exert strong traction forces at their anchorage sites to the matrix and/or neighboring cells (7
). In turn, mechanical forces applied to surface receptors can cause stiffening of the cortex (8
,9
), enlargement of focal adhesions (10
,11
), and redirection of cell migration (12
). Furthermore, fibroblasts are able to actively probe the stiffness of their environment and to turn toward substrates of high rigidity (13
), a phenomenon referred to as durotaxis. Since the stiffness of artificial culture substrates is typically much higher than that of tissues, we hypothesize that substrate rigidity is a key factor in dictating the different behavior on artificial substrates versus in vivo.
Although this hypothesis of durotaxis-driven tissue formation appeared consistent with the spontaneous formation of tissue-like aggregates for cells grown in soft ECM (14
16
), the interpretation of previous studies is complicated by changes in multiple chemical and physical parameters. In this study, we take advantage of the flexible polyacrylamide substrates developed for cell mechanical studies (17
). The major advantage of the material is that its rigidity may be varied over a wide range while maintaining constant chemical properties by changing the ratio of acrylamide and bis-acrylamide during polymerization. Our observations indicate that substrate rigidity does play a pivotal role in tissue formation and maintenance for both cell lines and primary cultures. In addition, the response may be explained by myosin II-driven contractility combined with differential adhesions.
| MATERIALS AND METHODS |
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Balb/c 3T3 mouse embryonic fibroblasts and NRK-52E normal rat kidney epithelial cells were obtained from the American Type Cell Collection (Manassas, VA) and maintained as described previously (13
,17
). Cell aggregates were prepared with cells detached from petri dishes with either trypsin or an enzyme-free solution (Specialty Media, Phillipsburg, NJ) by centrifugation for 2 min at 2000 rpm. To obtain pieces of heart tissues, heart was removed from neonatal rat, quickly dipped in 70% ethanol, and washed with PBS until the solution was clear. The tissue was cut into small pieces
1 mm3 in size, washed with PBS, and planted on substrates.
Time-lapse microscopy, immunofluorescence staining, and drug application
Phase-contrast images were recorded every 5 min with a cooled slow-scan charge-coupled device (CCD) camera (NTE/CCD-512-EBFT; Princeton Instruments, Trenton, NJ) or a video-rate CCD camera (12V1E-EX, Mintron, Taipei, Taiwan) attached to a Zeiss (Jena, Germany) Axiovert 100S microscope equipped with a 10x, CP-Achromat phase objective lens or a 40x, Plan-Neofluar phase objective lens and a stage incubator for time-lapse imaging. Immunofluorescence staining of focal adhesion was performed using primary antibodies against paxillin (ICN Biomedicals, Aurora, OH; 1:200 dilution in PBS/BSA), after fixing cells with 4% paraformaldehyde (EMS, Hatfield, PA). Images were collected with a 100x Plan-Neofluar numerical aperture 1.3 oil lens, a QLC100 spinning disk confocal head (Solamere Technology, Salt Lake City, UT), and a low light electron-multiplying CCD (EMCCD) camera (iXon DV887DCS-BV; Andor Technology, South Windsor, CT). Total focal adhesion area was calculated after intensity thresholding using custom software. Area density of focal adhesions was calculated as the total area of focal adhesions divided by the total cell area, and number density as the number of focal adhesions divided by the total cell area. Relative average focal adhesion size was calculated by dividing the total area of focal adhesions with the number of focal adhesions.
Cells were treated with 50 µM of Y-27632 (diluted from 10 mM stock solution in PBS; Calbiochem, San Diego, CA) or 100 µM of blebbistatin (diluted from 100 mM stock solution in dimethylsulfoxide; Calbiochem, San Diego, CA) after plating on substrates and incubating for 34 h.
Cell-substrate adhesion assay
Cell-substrate adhesiveness was measured with a centrifugation assay. Cells were plated on a modified 60 mm petri dish with polyacrylamide substrate attached to a large coverslip that forms the bottom surface and allowed to adhere for 25 min at room temperature. To avoid air bubbles that may interfere with the assay, a sealed subchamber was formed by placing a large glass slide in the chamber, separated from the lid and the substrate by two O-rings above and below. The chamber was clamped together with work clips and inverted and centrifuged for 10 min at 1,495 x g in a Beckman (Fullerton, CA) TJ-6 centrifuge with a TH-4 rotor. The force was determined empirically as the force required to detach
1020% of the cells from stiff substrates. The number of cells on the substrate before and after centrifugation was counted, and the strength of adhesion was determined as the percentage of cells remaining on the substrate after centrifugation. Design of the chamber assembly is shown in Supplemental Fig. 1.
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| RESULTS |
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Cell migration on these substrates was tested primarily with Balb/c 3T3 fibroblasts, although similar results were obtained with NRK epithelial cells. Cells were plated either directly from a dispersed suspension or as aggregates after centrifugation of the suspension. Their behavior on stiff substrates was indistinguishable from that on glass or plastic surfaces. Individual cells spread and migrated on the substrate, showing the typical "contact inhibition" upon collision with other cellscells moved away from one another and were never able to form sizeable three-dimensional aggregates even at a high density (Fig. 1 A; Supplementary Video 1). In contrast, cells plated on soft substrates readily aggregated with one another to form tight, tissue-like spheroids. The aggregates continuously incorporated cells and merged with one another until the culture turned into one or few very large aggregates (Fig. 1 B; Supplementary Video 2).
To determine if substrate rigidity is also responsible for the migration of cells from tissue explants in primary cultures, we performed similar experiments with small pieces of neonatal rat heart tissues. Consistent with the observations of cell lines, the cells migrated away from the tissue explants on stiff substrate (Fig. 2 A) but failed to do so on soft substrates (Fig. 2 B).
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Time-lapse observations at a high magnification provided further clues as to the mechanism of cell compaction. Cells on soft substrates spread out poorly but were highly motile (17
). They form dynamic, filopodia-like extensions, which appeared to contract upon cell-cell contact to bring cells into an aggregate (Fig. 3, arrowhead; Supplementary Video 3). Although cells in aggregates were unable to migrate out, those along the periphery maintained dynamic filopodia that extended for 57 µm from the edge of the aggregate (Fig. 3, arrow). Interactions of these filopodia upon contact with single cells or other aggregates again lead to the incorporation of additional cells and enlargement of the aggregates, possibly through contractions of the filopodia structure.
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In addition to contraction, cell aggregation/dispersion may be controlled by the strength of cell-substrate adhesions. From the poorly spread morphology on soft substrates (17
), we suspected that cells may not adhere as strongly to soft substrate as they did to stiff substrates. Immunofluorescence staining of paxillin showed numerous large, elongated focal adhesions on stiff substrates (Fig. 5 A) and small, dot-like focal adhesions on soft substrates (Fig. 5 B). Striking differences were observed with the area density (p = 3.23 E-06; Fig. 5 D) and average size (p = 0.0014; Fig. 5 E) of focal adhesions. However, the number density of focal adhesions was not significantly higher on stiff substrates than on soft substrates (p = 0.0567; Fig. 5 C). Using a centrifugation assay to compare the strength of cell-substrate adhesions, we found that only
30% of cells remained on soft substrates after centrifugation, whereas more than 80% of the cells remained adherent to stiff substrates under the same condition (Fig. 5 F). A similar result was recently reported by using a micropipette peeling method (25
). Together, these results suggest that substrate stiffness regulates the strength of adhesions by promoting the formation of large focal adhesions.
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| DISCUSSION |
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By allowing the variation of flexibility over a wide range without changing surface chemical properties, polyacrylamide substrates represent a powerful tool for testing the hypothesis that substrate flexibility plays a pivotal role in tissue formation. We demonstrated that on stiff substrates, cells dispersed from tissues or aggregates to cover the surface of the substrates. Conversely, on soft substrates, dispersed cells or small aggregates coalesce to form multicellular tissue-like structures. These observations may be understood if cells compare mechanical signals mediated by substrate adhesion with those by interactions with neighboring cells. They migrate away from one another if physical signals from the substrates are stronger than those from cell-cell interactions and toward one another if cell-cell interactions provide a stronger mechanical input.
This behavior of aggregation mimicking tissue formation may be driven at least partially by durotaxis, the preferential migration of cells toward stiff substrates or away from soft substrates (13
). Closely related phenomena guide cells toward maximal adhesiveness (haptotaxis; (26
)) or maximal substrate tension (13
). The same process may also explain why, during tissue formation, cells tend to maximize their net area of adhesion to one another while minimizing the area exposed to the surrounding environment. The general principle underlying these observations appears to be a preference of cells to maximize mechanical input from the environment. This surface tension-like mechanism is believed to also drive cell sorting as well as morphogenetic movements during gastrulation and neurulation (27
).
Our results further suggest that cell migration toward maximal mechanical input is driven by differential traction forces and substrate adhesions. We reported previously that cells exert stronger traction forces on stiff than on soft substrates (19
) and that active traction forces are concentrated at the leading edge where nascent focal adhesions are assembled (28
,29
). Substrate stiffness also regulates the strength of adhesion, as seen in these experiments and in a recent micromanipulation study (25
). Furthermore, a recent report indicated that ß5 integrin was expressed at a higher level on stiff substrates than on soft substrates (30
), which may contribute to the enhancement of adhesion. A closely related phenomenon is referred to as "cortical reinforcement," where mechanical forces exerted through adhesive microbeads induce strengthening of cortical forces and rigidity (8
,9
). Therefore, a plausible mechanism for cell compaction would involve a tug of war, possibly combined with a negative feedback loop, among protrusions and adhesions in different regions. If those interacting with neighboring cells receive a stronger mechanical stimulation than those adhering to substrates, localized increase in adhesion strength and traction forces would drive cells toward each other into an aggregate. Implied in this model is that, at the mechanical level, cell-ECM adhesions compete directly with cell-cell adhesions in determining the interactions between cells and the environment. In addition, cadherins at cell-cell adhesions may show similar responses to mechanical signals as does paxillin at focal adhesions, as supported by the similar interactions of cell-cell and cell-ECM adhesion structures with the actin cytoskeleton and by a recent report that cells in myosin II-A-deficient mice are defective in cell-cell adhesions (31
). However, our attempts to image and quantify cadherin in tissue-like aggregates were hampered by limited optical qualities.
Consistent with this idea, pharmacological studies suggest that myosin II plays a major role in the cell compaction process, likely under the regulation of the small GTPase Rho and Rho-dependent kinase, which phosphorylates myosin light chain and inhibits myosin phosphatase (32
). Myosin II may be involved in tissue formation in three ways. First, myosin II is known to generate tractions forces (20
,21
) and is likely to be responsible for the contraction of cellular processes during the compaction process. Second, myosin II may provide forces for probing the flexibility of the environment, which cannot otherwise be detected in a chemically homogeneous environment. This is supported by the defects of myosin II-deficient cells in establishing polarity and undergoing durotaxis (33
). Third, myosin II, together with Rho, is known to regulate the formation of focal adhesions, the affinity of integrins for the ECM, and cadherin-mediated cell-cell adhesions (31
), a phenomenon referred to as inside-out signaling (34
).
Substrate stiffness regulates not only cell migration and adhesion but also cell growth and apoptosis (19
), which are closely related to cell shape and adhesion and are equally important in tissue formation. It is also important to note that stiffness varies over a wide range among different tissues and different types of cells also show quantitative and/or qualitative differences in their responses to substrate stiffness. For example, myocytes prefer moderately stiff substrates (25
), whereas neurons grow more branching on soft than on stiff substrates (35
). Therefore, although we designated soft and stiff in this report based on the behavior of fibroblasts and epithelial cells, the same physical signal may elicit cell type-specific responses.
These observations are relevant not only to tissue formation in development but also a number of important physiological and pathological processes. For example, cell migration during wound healing may be guided by the contractile forces at the wound, whereas cancer metastasis may be caused by cells losing the ability to respond to the differential mechanical signals between the home tissue and the basement membrane. Cancerous invasion may be further stimulated by the increased stiffness of the connective tissue referred to as desmoplasia, which occurs in some tumors such as breast cancer and pancreatic adenocarcinoma (36
,37
). Finally, given the profound effects of mechanical signals on cell migration and growth, engineering of artificial tissues as well as design of cell-based therapies must take into account physical parameters, particularly rigidity of the materials and the environment.
| APPENDIX: CHARACTERIZATION OF POLYACRYLAMIDE GELS WITH ATOMIC FORCE MICROSCOPY |
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, based on the geometry of an indenter for two elastic bodies. The theoretical indentation of a planar sample with a spherical indenter of radius, R, is also related to the Poisson ratio,
, and Young's modulus, E, of the sample (Eq. 1) (38
![]() | (1) |
![]() | (2) |
AFM measurements of polyacrylamide gels
Polyacrylamide substrates of 5% total acrylamide and 0.10% or 0.012% bis-acrylamide were prepared as described previously (18
) and were stored at 4°C in PBS for no more than 3 days before testing. Testing was performed using an Autoprobe M4 AFM (Veeco, Santa Barbara, CA) equipped with ProScan V1.51b software (Veeco) and a MicroCell Kit (APMC-0001; Veeco) for testing hydrated samples.
Measurements were performed with two different types of AFM probes: particle tip contact mode probes (BioForce Nanosciences, Ames, IA) with a 5-µm spherical borosilicate tip on a cantilever with a nominal spring constant of 0.06 N/m, and probes with 20 µm polystyrene beads (Polysciences; Warrington, PA) glued onto CSC12 tipless cantilevers (MikroMasch, Wilsonville, OR), using Norland Optical Adhesive No. 71 (Norland Products, Cranbury, NJ) cured for 30 min under ultraviolet light, with a nominal spring constant of either 0.05 or 0.03 N/m. These probes gave comparable results. Before measurements were made on the substrates, the stiffness of each cantilever was accurately determined using a thermal calibration method (39
) and tip geometry was imaged using a TGZ03 step grating (MikroMasch). The spherical cap portions of the tip-imaging profiles were fit to a spherical model to yield the tip radius (40
). Force-indentation profiles were obtained at a rate of 1 Hz on multiple samples (n = 3 and 4 for stiff and soft samples, respectively) at various locations. Each measurement (n = 15 and 13 for the stiff and soft samples, respectively) is the average of either 16 or 10 force curves at that location.
Results and Discussion
The retraction portion of the force-indentation profiles obtained by AFM was used for analysis (41
). These profiles and the values from the theoretical Hertz sphere model at the corresponding indentation depths were first converted to logarithmic form. These data were then fit using a linear least squares method and Excel Solver to yield Young's moduli of 7.69 ± 2.85 kPa and 2.68 ± 0.99 kPa for the stiff and soft samples, respectively, where the range of values represents the relative uncertainty. Results for a depth up to 100 nm did not vary appreciably using either a fixed range of indentation or a range optimized for each test based on the logarithmic fit. At the sampling frequency of 1 Hz, the indentation interaction may not have been quasistatic; this could yield moduli values somewhat greater than those obtained with lower frequencies (42
). However we found that lower sampling frequencies increase the uncertainty, at least with the present device.
Error analysis
The estimated uncertainty of the value for E (Eq. 3) is mainly affected by the uncertainty of the value for
(43
); values between 0.3 and 0.5 have been used, though we chose a value of 0.45 in our estimates (44
).
![]() | (3) |
, respectively (39
and thus has an uncertainty of only 13%.
![]() | (4) |
![]() | (5) |
| SUPPLEMENTARY MATERIAL |
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| ACKNOWLEDGEMENTS |
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This work was funded by the National Institutes of Health grant GM-32476 to Yu-li Wang.
Submitted on July 7, 2005; accepted for publication December 2, 2005.
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