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Investigation of Cell-Substrate Adhesion Properties of Living Chondrocyte by Measuring Adhesive Shear Force and Detachment Using AFM and Inverse FEA

Scientific Reports volume 6, Article number: 38059 (2016) | Download Citation


It is well-known that cell adhesion is important in many biological processes such as cell migration and proliferation. A better understanding of the cell adhesion process will shed insight into these cellular biological responses as well as cell adhesion-related diseases treatment. However, there is little research which has attempted to investigate the process of cell adhesion and its mechanism. Thus, this paper aims to study the time-dependent adhesion properties of single living chondrocytes using an advanced coupled experimental-numerical approach. Atomic Force Microscopy (AFM) tips will be used to apply lateral forces to detach chondrocytes that are seeded for three different periods. An advanced Finite Element Analysis (FEA) model combining porohyperelastic (PHE) constitutive model and cohesive zone formulation is developed to explore the mechanism of adhesion. The results revealed that the cells can resist normal traction better than tangential traction in the beginning of adhesion. This is when the cell adhesion molecules establish early attachment to the substrates. After that when the cells are spreading, stress fiber bundles generate tangential traction on the substrate to form strong adhesion. Both simulation and experimental results agree well with each other, providing a powerful tool to study the cellular adhesion process.


Cartilage is the flexible connective tissue found in many parts of human and animal bodies such as nose, ear, elbow and knee. Articular cartilage is the hyaline and avascular tissue that covers the surfaces of the joints. Osteoarthritis is a type of joint disease which results in significant patient suffering and a large financial burden on both the health system and employers. Chondrocytes are cytoskeleton (CSK)-rich eukaryotic cells which are the mature cells in cartilage tissues and perform a number of functions within the tissue. It is well-known that the mechanical properties of these cells are significantly altered in the development and progression of osteoarthritis1,2,3. Moreover, it has been reported that the disruption of the collagen network in the early stages of osteoarthritis causes an increase in water content of the cartilage, which in turn leads to a reduction of the pericellular osmolality of the chondrocytes4. One of the common treatments for osteoarthritis is to replace damaged or diseased cartilage with artificial biomaterials. Biocompatibility, fabrication robustness and efficiency are the necessary requirements for these materials. These materials will also need to enhance cell adhesion ability.

Cell adhesion is important in many biological processes including cell proliferation, fate and migration5,6. It is well-accepted that the adhesive strength of cells varies with different substratum, materials, topography7,8,9 and chemo-mechanical properties of the surrounding cellular microenvironment10. In particular, the extracellular matrix’s molecular composition and mechanical properties have a pivotal role in cell spreading and migration6,11,12. Understanding the cell adhesive properties is crucial to tissue engineering13 which seeks treatments to the damaged or diseased tissues and organs through the replacement of combinations of cells, scaffolds and soluble mediators14. This approach needs readily available stem cell sources that can provide the relevant properties and behaviour under controlled conditions. Increasing evidence has demonstrated that cellular micro-environment plays an important role in controlling the activities and behaviours of stem cells. For instance, the stiffness of the substrate defined the differentiation lineage of the mesenchymal stem cells (MSCs)5. Therefore, a better understanding of cell adhesive behaviours would open insight into the fundamental bases between cells and the tissues. The knowledge will allow development of advanced technologies to improve tissue engineering and stem cell technologies.

Atomic Force Microscopy (AFM) provides a method to study the nanomechanical properties of biological tissues and explore the cell responses to external stimuli15,16,17,18,19,20,21,22,23. Besides being used to conduct the nano-scale mechanical test, AFM has also been used to measure the adhesion force of cells on different biomaterial surfaces24,25,26. There are three different strategies to measure adhesion force using AFM investigated in the literature (see Fig. 1). Among these, the last strategy utilized the AFM cantilever to apply a shear force to detach the cells in order to study the adhesive forces between cells and the substrate. This developed technique would provide a powerful tool to investigate the adhesive behaviour of chondrocytes. The advantage of this technique is that it utilizes the contact scanning mode that is available in any AFM system compared to other techniques that may require some special facilities27.

Figure 1: Three different strategies to measure adhesion force using AFM.
Figure 1

(a) AFM cantilever is approached onto an adhered cell on substrate to measure adhesion force between the cell and tip, (b) Cell attached to the cantilever is brought into contact with another adhered cell (or a surface of interest) to measure adhesion force between two cells (or between cell and a surface of interest), (c) AFM cantilever is used to apply a shear force on the cell until it’s detached to measure adhesion force between the cell and substrate.

While a number of experimental techniques have been developed and applied in biomechanics studies, they still do not provide a comprehensive analysis of a single cell’s response to short- and long-term mechanical loads. This is due to the difficulties associated with conducting experiments on living cells in the real biological environment. In addition, many of the experiments cannot show the dynamic responses of a cell during a mechanical event. Numerical simulations, however, offer a way to gain insight into the biological and biomechanical processes of a cell under mechanical stimuli, as well as to calibrate model parameters and identify appropriate model assumptions. Finite Element Analysis (FEA), which is one of the most commonly used numerical simulation methods, is widely used to study the mechanical properties and behaviour of tissues, single cells and other components of a tissue. Therefore, a FEA model will be developed in this paper to study the dynamic processes of cells’ detachment under mechanical shearing stresses. The model will help us to have better understanding of detachment processes.

Consequently, this study will utilise AFM to measure the time-dependent adhesive properties of living chondrocytes. The experiments will be conducted by applying a shear force on the cells until they are detached. Details of this technique were already described in the literature28,29 (see Fig. 1c). The FEA model coupled with the porohyperelastic (PHE) mechanical model30,31 and a cohesive zone formulation32 will be used to explore the mechanism underlying the adhesive behaviour of single living cells. The PHE model is used in this study because it has been proven to be a powerful model to investigate the fluid-solid interaction within the cells30,31,33. The model proposed in this study is the first one to integrate multi-phase model with cohesive zone formulation to investigate the adhesive properties of chondrocytes. The model has potential to establish a novel numerical modelling method to predict early osteoarthritis and other diseases. This study will provide new knowledge about cell adhesive behaviour. In addition, this project has the potential in studying the early stage of osteoarthritis and other diseases that may be related to the change of adhesive properties of cells.

Results and Discussion

AFM lateral force detachment experiment

Cantilever detection limit

As presented by Zhang et al.29, before conducting AFM adhesion measurements, the detection limit of the applied cantilever needs to be identified. The reason is that if the detection limit of the cantilever is larger than the measured value, the measurement results might possess significant error. The principle is to use the setpoint value Vsetpoint, which is as small as possible but large enough to obtain good scanning image quality to calculate the cantilever’s detection limit using Eq. (5). This setpoint was chosen to be 0.3 V, which is the same as Zhang et al.’s value. The calculated detection limit of applied cantilevers in this study was around 2.0632 and 58.5746 nN for SHOCONG and ACSTG cantilevers, respectively (see Table 1). This limit is much smaller than our measured detachment forces of living cells in this study, which will be presented below, therefore the detection limit will not significantly influence the measured forces.

Table 1: Cantilever’s geometry dimensions, properties and detection limit in the AFM system used in this study.

Measurement of lateral detachment force by AFM

In previous works28,29, the AFM tip was used to repeatedly scan over the cells until they were detached. The disadvantage of this technique is that the adhesion properties of the cells might have been altered while being scanned. Therefore, in this study, the AFM cantilever was quickly moved to the middle of cells during scanning process to detach them with only one scan line. This technique would give more reliable and precise results. Note that the scan speed used in this study was 50 μm/s. Figure 2 shows examples of detachment curves of single living chondrocytes seeded for 3, 6 and 24 hours. Note that the initial lateral forces applied by AFM tips are 50, 87 and 100 nN corresponding to 3, 6 and 24 hours seeding times, respectively. These initial forces can be seen from the minimum value of the Y-axes of the plots in Fig. 2. Figure S-1 and Videos V-1 to V-3 in Supplementary Material show details of the AFM detachment experiment. The lateral detachment forces of chondrocytes seeded for 3, 6 and 24 hours are shown in Table 2 and Fig. 3a. It can be observed that the cells adhered to the substrate stronger at 6 hours than at 3 hours of seeding time, demonstrated by the lateral force increase from 171.02 ± 34.24 nN to 185.48 ± 39.50 (p < 0.05). After 6 hours, the lateral force required to detached the cells insignificantly increased at 24 hours (171.02 ± 34.24 nN at 6 hours compared to 185.48 ± 39.50 nN at 24 hours, p = 0.1278). Thus, it can be stated that the cells already had enough adhesion strength after 6 hours to perform cell functions such as differentiation and migration.

Figure 2: Typical curves of lateral detachment force versus displacement of chondrocytes seeded for 3, 6 and 24 hours.
Figure 2
Table 2: Lateral detachment forces of chondrocytes seeded for different times measured using AFM.
Figure 3
Figure 3

(a) Lateral detachment force and (b) mechanical adhesiveness of chondrocytes seeded for 3, 6 and 24 hours.

In order to quantify cell adhesiveness, the lateral detachment force is divided by the cell’s contact area. Figure 3b shows the cell mechanical adhesiveness of chondrocytes with different seeding time. Similarly, chondrocytes’ mechanical adhesiveness increased from 139.97 ± 26.08 Pa at 3 hours to 203.10 ± 40.66 Pa at 6 hours (p < 0.05) and slightly reduced to 200.65 ± 42.73 Pa at 24 hours seeding time (p = 0.8177). Note that our results for 6 hours seeding time is smaller than that of published work conducted by Huang et al.27. This may be because our technique differs from the previous authors’ one (i.e. cytodetachment system). Their scan speed is also different to ours (i.e. 1 μm/s versus 50 μm/s in this study). In addition, the previous authors used glass microscope coverslips whereas plastic petri dishes were utilized in this study. Moreover, a glass cantilever beam was used compared to an AFM tip in this study. It can be stated that the technique used in this study has several advantages as: (1) it can properly measure the detachment force with various cell’s height while the cytodetacher cannot be used if the cell’s height is too small27, (2) it does not require any special equipment since it can be used with any AFM systems and (3) it is easy and robust to operate as the contact scan mode in AFM is used.

Cell adhesion properties simulation

Chondrocytes geometries with different seeding time

In order to develop FEA models for modelling adhesion of chondrocytes, there are several important geometric dimensions that need to be identified including the cell’s diameter, contact diameter and height. In this study, all the cells were assumed to have spherical cap shapes in order to simplify FEA models34. This technique was used because the cells have irregular shapes at 6 and 24 hours seeding time. Briefly, the diameter and height of chondrocytes seeded for 3 hours were first measured to calculate cell volume. Next, the heights of chondrocytes seeded for 6 and 24 hours were measured (details of the technique to measure cell’s height were presented in the literature21,30,35). The contact diameters were then calculated to ensure the cell volume is preserved (see Materials and Model). Table 3 below shows the dimensions of chondrocytes seeded for 3, 6 and 24 hours.

Table 3: Cell dimensions for different seeding time subject to constant volume.

It can be observed that the cell’s contact diameter and surface area increased from 25.72 ± 3.59 μm and 529.70 ± 142.97 μm2, respectively at 3 hours, to 34.18 ± 2.99 μm and 924.42 ± 153.18 μm2, respectively at 24 hours. The height of the cell, however, decreased from 8.58 ± 1.63 μm to 5.40 ± 0.96 μm with increased of seeding time. These results clearly show that the cells are spreading with time, similar to published results27. Note that the chondrocytes seeded for 1 hour were not considered in this study, because cell height was measured to be larger than the AFM tip’s height (data not shown) which might affect the adhesion experimental results. The calculated dimensions will be used to develop FEA models of chondrocytes seeded 3, 6 and 24 hours.

Porohyperelastic (PHE) model parameters

In our previous studies21,30,31,33, it has been revealed that PHE model is a powerful and potential model to simulate single cell mechanical behavior since it can account for cellular solid-fluid interaction. Therefore, this model will be used in this study to simulate time-dependent adhesion behavior of single chondrocytes. AFM biomechanical testing with different strain-rates will be conducted since this is an effective technique to identify all the material constants for PHE model21,30,31. In this study, the mechanical responses of chondrocytes subjected to three different strain-rates (i.e. 7.4, 0.74 and 0.0123 s−1) were investigated similarly to our previous work30. The PHE model parameters were determined using inverse FEA technique to curve-fit the experimental data. The AFM experimental data and PHE model for chondrocytes seeded for different times are shown in Fig. 4. The PHE parameters of chondrocytes are shown in Table 4. It can be observed that the PHE parameters of chondrocytes increased when the seeding time increased to 6 hours (p < 0.05, see Table 4). It is interesting to note that the elastic stiffness parameter C1 was significantly larger (p < 0.05), whereas the rest of the parameters, i.e. D1 and k0, were slightly smaller (p = 0.7357 and p = 0.5233, respectively, see Table 4) at 24 hours compared to 6 hours seeding time. These results are in consistent with those of previous published work where the cells’ stiffness increased with increased seeding time36. This can be explained as the F-actin stress fiber network is attached to the substrate for spread cells36,37. In addition, it can be observed that chondrocyte’s permeability identified in this study was within the range reported in literature38,39,40 (see Table 4). Note that most of the cell permeability published in literature was estimated based on that of extracellular matrix38,39. There is little research to experimentally identify single cell permeability, which is one of the most important parameters in cell biomechanics. Thus, this study is one of the first studies to determine chondrocyte’s permeability at different seeding time. These PHE parameters will be used in the finite element models of cell detachment simulations.

Figure 4: Experimental and PHE force–indentation curves at three different strain-rates of typical single living chondrocytes seeded for 3, 6 and 24 hours.
Figure 4
Table 4: PHE material parameters of living chondrocytes seeded for three different times.

Finite element modelling

Based on the contact diameters and heights of the cells shown in Table 3, three finite element models of chondrocytes were developed as shown in Fig. 5. Note that the edges of the cells were modelled with 0.3 μm fillets to prevent singularities at these areas. In this study, 2D finite element analysis was considered in which the cell was simulated as PHE constitutive material and the cohesive zone formulation was used to define contact between the cell and substrate (see Materials and Model). To the best of our knowledge, this is one of the first studies to combine a PHE constitutive model with cohesive zone formulation. It is believed that this PHE model has more advantages than viscoelastic solid-like models as used in previous works32,41. The cohesive zone models were implemented in the commercial finite element package ABAQUS/Standard version 6.9-1 (ABAQUS Inc., USA) using UINTER, a user-defined FORTRAN subroutine to define contact interaction behavior. The AFM tips were assumed rigid and only the contact edges with the cells were modelled (see Fig. 5). Four-node quadrilateral plane strain elements were used in this study. The cell-substrate contact areas were simulated as the out-of-plane cell depths of πD/4 (where D is the cell’s contact diameters) corresponding to the measured experimental results.

Figure 5
Figure 5

Finite element models of chondrocytes seeded for (a) 3 hours, (b) 6 hours and (c) 24 hours.

Figure 6 presents the simulation results of lateral force vs tip displacement curve of chondrocyte at three different seeding time. The maximum lateral forces obtained were 78.71 nN, 172.34 nN and 187.26 nN for chondrocytes seeded at 3, 6 and 24 hours, respectively. These results are within 7% error with those of experiments. It is worth to note that for 6 and 24 hour cases, the lateral forces of chondrocytes did not reduce to smaller values after reaching the maximum values. It might be due to the cell-substrate contact areas, as contact with the tip that would cause this artifact (refer to Figure S-2 and Video V-4 to V-9 in Supplementary Material for details). The improved simulation model will be considered in future studies. The PHE model is used in this study before it can account for the non-linear behavior as well as the fluid-solid interaction within the cells. This model gives more accurate and reliable results compared to solid models as it is well-known that cells comprise of both solid and fluid phases. In addition, this model has been proven to precisely simulate cellular mechanical properties and responses subjected to various environmental conditions21,30,31,42. The simulation results of Mises solid stress and pore fluid pressure distributions of chondrocytes at different seeding time are shown in Figure S-2 and Video V-4 to V-9 in Supplementary Material.

Figure 6: Simulation results of lateral detachment force versus displacement of chondrocytes seeded for 3, 6 and 24 hours.
Figure 6

The interfacial strengths in normal and tangential directions, i.e. σmax and τmax, respectively, of chondrocytes at 3, 6 and 24 hours seeding time are shown in Table 5. It is interesting to note that at 3 hours seeding time, more traction was required to detach the cells from the substrate in the normal direction than in the tangential direction (i.e. 21.00 kPa in normal direction vs 10.50 kPa in tangential direction). It is hypothesized that during early stages of adhesion, the cell adhesion molecules e.g. integrins, cadherins, etc. start to attach to the substrates. At this stage, the cells did not show clear stress fiber bundles (see Fig. 7a). Therefore, the interface strength of cell-substrate is larger in the normal direction than in the tangential direction. From the simulation results (see Videos V-4 and V-5 in Supplementary Material), it can be observed that the cell-substrate bonding is firstly broken in the tangential direction and then in the normal direction. It makes the head of the cell slide toward its tail, which in turn generates a vesicle beneath the cell.

Table 5: Simulation results of interfacial strengths of chondrocytes at 3, 6, 24 hours seeding time.
Figure 7
Figure 7

Confocal images of actin filaments of chondrocytes seeded for (a) 3 hours and (b) 24 hours (the cell’s nucleus and F-actin are visualized in blue [DAPI] and red [568 phalloidin], respectively).

In contrast, at longer seeding time, i.e. 6 and 24 hours, the tangential interface strength of the cell-substrate is much larger than the normal interface strength (i.e. 58.15 kPa in tangential direction vs 8.60 kPa in normal direction). It can be explained that for spread cells, the stress fiber network generates tangential traction on the substrate to form strong adhesion43 (see Fig. 7b). It renders the cells to be able to resist to tangential traction better than to normal traction. The simulation results clearly showed that the bonding at cell-substrate contact area is broken in normal direction before in tangential direction (see Videos V-6 to V-9 in Supplementary Material). It makes the cells being “peeled off” from the substrate. From AFM experiments, a number of chondrocytes tested exhibit similar mechanisms of detachment (see Video V-1 to V-3 in the Supplementary Material). The findings in this study shed an insight into cell adhesion process. Cells adhesion properties to different substrate materials and surface functionality will be extended in our future studies.


This study investigated the adhesion properties of chondrocytes during cell spreading process. The AFM lateral detachment experiments were conducted to measure adhesive strength of the cells at three different seeding times. The results revealed that chondrocytes attach to the substrate stronger with longer seeding time corresponding to the changes of cell’s morphology. The AFM technique developed in this study provides a useful tool to explore single living cells adhesion to substrates. An advanced coupled PHE – cohesive zone formulation FEA model was also developed to investigate the mechanism of chondrocyte adhesion. The PHE model used in this study is an advantageous and accurate model to simulate cellular behavior as it can account for fluid-solid interaction within the cells. The results demonstrated that cells develop normal interface strength with substrates at the early stage of adhesion process. This is when the cell adhesion molecules are binding with the substrate. At the later stage, cells’ stress fiber network generates tangential traction on the substrate to increase tangential interfacial strength. By using both experimental and numerical techniques, the underlying mechanism of adhesion process of living cells can be investigated in this study.

Materials and Model

Cell culturing and AFM sample preparation

Human primary chondrocytes were obtained from the Institute of Health and Biomedical Innovation (IHBI), QUT, Brisbane, Australia, under QUT ethics regulations (QUT approval number: 1400001024). The cells used in this study were collected from all zones of articular cartilages of patients undergoing knee surgery. Note that most of the collected tissues had osteoarthritis, thus only intact-looking areas of the cartilages were thus used to isolate cells. The chondrocytes were cultured following a culturing protocol similar to previous works30,44 for a week until confluent. Cells were then detached using 0.5% trypsin (Sigma-Aldrich) and seeded onto a cultured Petri dish for three different seeding times of 3, 6 and 24 hours. All of the cells tested are Passage 1–2 cells.

In this study, a technique was developed to study cell-substrate interaction using AFM as a platform. The substrates used in this study were normal plastic petri dishes. Further studies can be performed in the future to account for the effects of substrate materials and functionality such as biomaterials, protein-coated substrates, etc.

Cell spherical cap shape assumption

In this study, in order to simplify FEA model, the cell shape was assumed to be spherical cap (see Fig. 8) as presented by Vichare et al.34. The cell volume is calculated as below:

Figure 8: Schematic diagram showing cell dimensions, where H and D are cell’ height and contact diameter, respectively.
Figure 8

Note that because V, H and D are dependent variables, one variable can be calculated from other two variables for each spread shape to preserve cell’s volume.

Confocal actin filament and vinculin staining and imaging

The chondrocytes were trypsinized with 0.5% Trypsin (Sigma-Aldrich). Then, they were seeded onto 22 × 22 mm glass coverslip slides and allowed to attach for one hour. After that, the attached cells were gently washed with PBS three times before being fixed with 4% paraformaldehyde for 20 minutes. The samples were then washed again with PBS and thereafter permeabilized with 0.1% Triton X100 (Sigma-Aldrich) in PBS for 1 minute. After another wash with PBS, the samples were then incubated in a 1:100 dilution of DAPI (4′,6 diamidino-2-phenylindole) and Alexa Fluor 568 phalloidin (GIBCO, Invitrogen Corporation, Melbourne, Australia) for 15 minutes in order to observe the chondrocytes’ nuclei and actin filament network, respectively. The samples were then washed one more time before being imaged on a confocal laser microscope (Nikon A1R confocal, Nikon, Japan) using a 40x Nikon oil immersion objective lens.

AFM biomechanical and adhesion measurements

An Atomic Force Microscope (AFM) (Nanosurf FlexAFM, Nanosurf AG, Switzerland) was used in this study. There were two separate AFM experiments conducted in this study. At first, the biomechanical testing was conducted to measure the mechanical properties of chondrocytes at three different seeding times. This technique was described detail in our previous works21,30. A colloidal probe SHOCONG-SiO2-A-5 (AppNano) cantilever was used in this experiment (the bead has a diameter of 5 μm and spring constant of 0.3114 N/m). Before conducting AFM indentations, the cell height was measured using the method proposed by Ladjal et al.35 and described in detail in a later work by Nguyen et al.21,30. In addition, cell diameter was measured using a Leica Light Microscope M125 (Leica Microsystems).

Next, the AFM adhesion measurement was conducted on living chondrocytes at each of the three seeding times. The technique used in this study was a little bit different with the one described in the literature28,29. Two types of cantilevers were used in these experiments. The SHOCONG (spring constant of 0.3842 N/m, AppNano) and ACSTG (spring constant of 7.6012 N/m, AppNano) with pyramidal tips were used to measure chondrocytes seeded for 1 and 3 hours and for 6 and 24 hours, respectively.

Adhesion force calculation

In order to quantitatively measure the shear force required to detach an individual cell, Deupree and Schoenfisch28 developed a novel method based on the total compression of the AFM cantilever during cell detachment events. This method has been then modified to account for the bending of cantilever due to the counterforce from the cell during detachment29. In this method, the lateral detachment force is determined based on the total compression of the cantilever, probe geometry and cantilever orientation as followed:

where Flat is the lateral detachment force (nN), k and S are the spring constant (nN/nm) and sensitivity (nm/V) of the applied cantilever, respectively, Φ and θ are the cantilever orientation and the probe geometry angles and Vtotal is the total vertical deflection of the reflected laser beam on the photodiode detector (see Fig. 9).

Figure 9: Schematic figure of interactions between AFM cantilever and cell in lateral force detachment experiment.
Figure 9

The angles Φ′ and θ′ can be calculated as shown below29:

where L is the applied cantilever length.

Finally, the lateral detachment force in Eq. (2) can be determined as:

Cohesive zone formulation

In order to define a continuum interface between the cell and substrate, mixed-mode cohesive zone models will be used in this study. There are several cohesive zone models such as Xu-Needleman, Non-Potential-Based (NP1 and NP2) and Separation Magnitude Coupling (SMC)45 which have already been developed and described clearly in the literature32,41,45. As stated by Mairtin45, the SME model should be used for mixed-mode separation whereas the NP2 model is good to use in mixed-mode over-closure. Therefore, these models are used in this study. The NP2 and SMC formulations are presented below45:

Non-Potential-Based (NP2):

Separation Magnitude Coupling (SMC):

where Tn, σmax, Δn and δn are normal traction, maximum normal traction, normal interface separation and normal interface characteristic length, respectively; Tt, τmax, Δt and δt are tangential traction, maximum tangential traction, tangential interface separation and tangential interface characteristic length, respectively.

Porohyperelastic (PHE) model

There are a number of continuum mechanical models have been developed to study cell mechanical properties and behavior. Among them, consolidation theory, which was then extended to the PHE material law, has showed its potential in cell mechanics studies21,30,31. This PHE model has been used in several engineering fields such as mechanics46 and biomechanics47,48,49,50, with the theoretical details presented by several authors47,51,52,53,54. The field equations for the isotropic form of this theory were presented in detail in our previous work30. The PHE constitutive model consists of 3 material constants: C1, D1 and the hydraulic permeability kij. The C1 and D1, which are the material constants of Noe-Hookean hyperelastic constitutive material model, physically represent the elastic stiffness of the solid component and the compressibility of the cell, respectively. In our study, because the cells are assumed to be compressible when subjected to mechanical loading, parameter D1 is considered. One of the drawbacks of hyperelastic models is that they assume the cells as solid-like materials whereas living cells have solid and fluid components. Therefore, porohyperelastic (PHE) model, which can account for fluid-solid interaction, is used in this study. In PHE model, the compressibility of the cells is due to fluid loss during deformation as demonstrated in our previous studies21,30,31. The procedure used to determine the PHE model’s material parameters is similar to that presented in our previous study30.

Finite Element Analysis (FEA) model

The FEA commercial software package used in this study was the ABAQUS 6.9-1 (ABAQUS Inc., USA). The samples comprise both solid and fluid constituents; therefore, three initial conditions, namely, the void ratio, saturation and fluid pore pressure, need to be considered. The initial void ratio was assumed to be 4 in this study, which is similar to that of previous work40. This ratio means that the fluid volume fraction of the cell is around 80%. Moreover, the initial condition of saturation was assumed to be 1, which means that the cell is fully saturated with fluid. In addition, the fluid pore pressure was initially assumed to be 0 because the osmotic pressure within the cells is not considered in this study.

The boundary conditions are also very important for FEA. The FEA model in this study possessed the following four boundary conditions (see Fig. 10):

  • All six degrees of freedoms are fixed at the reference point (RP) of the substrate part of the FEA model (i.e. the “ENCASTRE” symmetric boundary condition is used in the ABAQUS software).

  • Inasmuch as the initial fluid pore pressure within the cells is 0, the fluid pore pressure boundary condition of 0 is also assigned on the membrane of the cell. This simulates the fluid flow when there is a pressure gradient developed within the cell during deformation.

  • The AFM tip is prescribed with a horizontal displacement of 50 μm for 1 second (i.e. the detachment velocity is 50 μm/s) at the RP to simulate the AFM lateral force detachment experiment.

Figure 10: Boundary conditions of FEA model.
Figure 10

Note that the limitation of the current 2D FEA model is that the contact area of AFM tip and cell is rectangular whereas it is triangular in AFM experiments. It is because the contact area in this study was defined as out-of-plane depth of the cell. However, it has been demonstrated for a similar simulation in literature41 that both 2D and 3D models gave similar results with the error of around 10%. Therefore, the authors believe that the error is small and acceptable, and will not significantly affect our results and conclusions. A more realistic 3D FEA model will be developed in future studies.

Additional Information

How to cite this article: Nguyen, T. D. and Gu, Y.T. Investigation of Cell-Substrate Adhesion Properties of Living Chondrocyte by Measuring Adhesive Shear Force and Detachment Using AFM and Inverse FEA. Sci. Rep. 6, 38059; doi: 10.1038/srep38059 (2016).

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  1. 1.

    , , & The Deformation Behavior and Mechanical Properties of Chondrocytes in Articular Cartilage. Osteoarthritis and Cartilage 7, 59–70 (1999).

  2. 2.

    , & Viscoelastic Properties of Chondrocytes from Normal and Osteoarthritic Human Cartilage. Journal of Orthopaedic Research 18, 891–898 (2000).

  3. 3.

    et al. Alterations in the Young’s modulus and volumetric properties of chondrocytes isolated from normal and osteoarthritic human cartilage. Journal of Biomechanics 32, 119–127 (1999).

  4. 4.

    , , & Studies of hydration and swelling pressure in normal and osteoarthritic cartilage. Biorheology 22, 159–169 (1985).

  5. 5.

    , , & Matrix elasticity directs stem cell lineage specification. Cell 126, 677–689 (2006).

  6. 6.

    et al. Cell spreading and focal adhesion dynamics are regulated by spacing of integrin ligands. Biophysical journal 92, 2964–2974 (2007).

  7. 7.

    , & Effects of substratum morphology on cell physiology. Biotechnology and Bioengineering 43, 764–771 (1994).

  8. 8.

    , , , & Modulation of cell adhesion, proliferation and differentiation on materials designed for body implants. Biotechnology Advances 29, 739–767 (2011).

  9. 9.

    , , , & Effects of topography and composition of titanium surface oxides on osteoblast responses. Biomaterials 25, 4087–4103 (2004).

  10. 10.

    , , , & Modeling and simulation of chemomechanics at the cell-matrix interface. Cell adhesion & migration 2, 83–94 (2008).

  11. 11.

    et al. Extracellular-matrix tethering regulates stem-cell fate. Nature materials 11, 642–649 (2012).

  12. 12.

    , & Cell–matrix adhesion complexes: master control machinery of cell migration. Seminars in cancer biology 18, 65–76 (2008).

  13. 13.

    , , , & Cell adhesion on artificial materials for tissue engineering. Physiological Research 53, S35–S45 (2004).

  14. 14.

    Advances in tissue and organ replacement. Current stem cell research & therapy 3, 21–31 (2008).

  15. 15.

    et al. Measurement of elastic properties of prostate cancer cells using AFM. Analyst 133, 1498–1500 (2008).

  16. 16.

    , , & A microanalytical study of the surfaces of normal, delipidized, and artificially “resurfaced” articular cartilage. Connective Tissue Research 53, 236–245 (2012).

  17. 17.

    , , & Analysis of Strain-Rate Dependent Mechanical Behavior of Single Chondrocyte: A Finite Element Study. International Journal of Computational Methods 11, 1–20 (2014).

  18. 18.

    & Determination of Strain-Rate-Dependent Mechanical Behavior of Living and Fixed Osteocytes and Chondrocytes Using Atomic Force Microscopy and Inverse Finite Element Analysis. Journal of biomechanical engineering 136, 101004 (2014).

  19. 19.

    & Investigating cell mechanics with atomic force microscopy. Journal of The Royal Society Interface 12, 20140970 (2015).

  20. 20.

    , & A poroviscohyperelastic model for numerical analysis of mechanical behavior of single chondrocyte. Computer methods in biomechanics and biomedical engineering 19, 126–136 (2016).

  21. 21.

    , , & Investigation of the Effects of Extracellular Osmotic Pressure on Morphology and Mechanical Properties of Individual Chondrocyte. Cell biochemistry and biophysics 74, 229–240 (2016).

  22. 22.

    et al. Biophysical response of living cells to boron nitride nanoparticles: uptake mechanism and bio-mechanical characterization. Journal of Nanoparticle Research 17, 1–13 (2015).

  23. 23.

    , , & In The 15th International Conference on Biomedical Engineering. 56–59 (Springer) (2014).

  24. 24.

    & Atomic force microscopy: a versatile tool for studying cell morphology, adhesion and mechanics. Cellular and Molecular Bioengineering 1, 289–300 (2008).

  25. 25.

    Application of atomic force microscopy to study initial events of bacterial adhesion. Methods in Enzymology 337, 276–285 (2001).

  26. 26.

    , , , & Use of the atomic force microscope to determine the effect of substratum surface topography on the ease of bacterial removal. Colloids and Surfaces B: Biointerfaces 51, 44–53 (2006).

  27. 27.

    , , , & Temporal effects of cell adhesion on mechanical characteristics of the single chondrocyte. Journal of orthopaedic research 21, 88–95 (2003).

  28. 28.

    & Quantitative method for determining the lateral strength of bacterial adhesion and application for characterizing adhesion kinetics. Langmuir 24, 4700–4707 (2008).

  29. 29.

    , , , & Quantification of the lateral detachment force for bacterial cells using atomic force microscope and centrifugation. Ultramicroscopy 111, 131–139 (2011).

  30. 30.

    & Exploration of Mechanisms Underlying the Strain-Rate-Dependent Mechanical Property of Single Chondrocytes. Applied Physics Letters 104, 1–5 (2014).

  31. 31.

    , , & Microscale Consolidation Analysis of Relaxation Behavior of Single Living Chondrocytes Subjected to Varying Strain-Rates. Journal of the Mechanical Behavior of Biomedical Materials 49, 343–354 (2015).

  32. 32.

    , & Computational mechanics modelling of cell–substrate contact during cyclic substrate deformation. Journal of the Mechanics and Physics of Solids 53, 2597–2637 (2005).

  33. 33.

    , & Stress relaxation analysis of single chondrocytes using porohyperelastic model based on AFM experiments. Theoretical and Applied Mechanics Letters 4, 054001 (2014).

  34. 34.

    , & Influence of cell spreading and contractility on stiffness measurements using AFM. Soft Matter 8, 10464–10471 (2012).

  35. 35.

    et al. In IEEE/RSJ International Conference on Intelligent Robots and Systems (St. Louis, MO: Univted States, 2009).

  36. 36.

    , , , & Viscoelastic properties of human mesenchymally-derived stem cells and primary osteoblasts, chondrocytes, and adipocytes. Journal of Biomechanics 41, 454–464 (2008).

  37. 37.

    & The role of F-actin in hypo-osmotically induced cell volume change and calcium signaling in anulus fibrosus cells. Annals of biomedical engineering 32, 103–111 (2004).

  38. 38.

    & Finite Element Simulation of Location- and Time-Dependent Mechanical Behavior of Chondrocytes in Unconfined Compression Tests. Annals of Biomedical Engineering 28, 318–330 (2000).

  39. 39.

    , & A theoretical analysis of water transport through chondrocytes. Biomechanics and Modeling in Mechanobiology 6, 91–101 (2007).

  40. 40.

    et al. Mechanical behaviour of in-situ chondrocytes subjected to different loading rates: a finite element study. Biomechanics and Modeling in Mechanobiology 11, 983–993 (2012).

  41. 41.

    & Modelling of in vitro chondrocyte detachment. Journal of the Mechanics and Physics of Solids 56, 1554–1565 (2008).

  42. 42.

    et al. The cytoplasm of living cells behaves as a poroelastic material. Nature Materials 12, 253–261 (2013).

  43. 43.

    , & Geometric considerations of micro-to nanoscale elastomeric post arrays to study cellular traction forces. Advanced Materials 19, 3119–3123 (2007).

  44. 44.

    , , & Characterization of a mesenchymal-like stem cell population from osteophyte tissue. Stem cells and development 17, 245–254 (2008).

  45. 45.

    Analysis and Implementation of Mixed-Mode Cohesive Zone Formulations for Cardiovascular Biomechanics Applications PhD. thesis, National University of Ireland, (2013).

  46. 46.

    Biot poroelasticity of a chemically active shale. Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences 440, 365–377 (1993).

  47. 47.

    Multiphase Poroelastic Finite Element Models for Soft Tissue Structures. Applied Mechanics Reviews 45, 191–219 (1992).

  48. 48.

    , & A Porous Media Approach to Finite Deformation Behaviour in Soft Tissues. Computer Methods in Biomechanics and Biomedical Engineering 2, 157–170 (1999).

  49. 49.

    Mathematical Modelling of the Biomechanical Properties of Articular Cartilage PhD. thesis, Queensland University of Technology, (2005).

  50. 50.

    & A finite element analysis methodology for representing the articular cartilage functional structure. Computer Methods in Biomechanics and Biomedical Engineering 5, 377–386 (2002).

  51. 51.

    , , , & A Poroelastic Finite Element Formulation Including Transport and Swelling in Soft Tissue Structures. Journal of Biomechanical Engineering 118, 1–9 (1996).

  52. 52.

    , , , & Identification and Determination of Material Properties for Porohyperelastic Analysis of Large Arteries. ASME Journal of Biomechanical Engineering 120, 188–194 (1998).

  53. 53.

    , , & Porohyperelastic finite element analysis of large arteries using ABAQUS. ASME Journal of Biomechanical Engineering 120, 296–298 (1998).

  54. 54.

    Porohyperelastic Analysis of Large Arteries Including Species Transport and Swelling Effects PhD. thesis, The University of Arizona, Tucson, AZ (1996).

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This research was funded by ARC Future Fellowship project (FT100100172), ARC Discovery project (DP150100828) and QUT Postgraduate Research Scholarship. The authors would like to thank Central Analytical Research Facility (CARF) at QUT for experimental support. The work was performed in part at the Queensland node of the Australian National Fabrication Facility (ANFF), a company established under the National Collaborative Research Infrastructure Strategy to provide nano and micro-fabrication facilities for Australia’s researchers. The authors would also thank Mr. Alim Rasel for his assistance in data processing. The authors would also thank Ms. Sarah Barns for her suggestions to improve the paper’s quality.

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  1. School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia

    • Trung Dung Nguyen
    •  & YuanTong Gu


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Nguyen and Gu prepared the manuscript. Nguyen and Gu conceived and planned the experiments and simulations. Nguyen conducted the experiments and simulations. Nguyen acquired and analysed experimental data. All the authors reviewed the manuscript.

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The authors declare no competing financial interests.

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Correspondence to YuanTong Gu.

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