Confocal microscopy-based three-dimensional cell-specific modeling for large deformation analyses in cellular mechanics

Slomka, Noa; Gefen, Amit

doi:10.1016/j.jbiomech.2010.02.011

Cited by 61 publications

(83 citation statements)

References 32 publications

(41 reference statements)

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“…Intermediate filaments are known to resist major deformations, whereas they are less involved in small cell deformations (Wang and Stamenović, 2000;Fudge et al, 2003). INTER.FILs, which represent intermediated filaments, were given a negative pre-strain of -10 % as in former CSK models (Wang and Stamenović, 2000;Sultan et al, 2004). This means that the interactions were null around the nucleus at the non-deformed state and became activated following significant deformation of the cell model.…”

Section: Description Of Csk Components By the Cdm Modelmentioning

confidence: 99%

Section: Description Of Csk Components By the Cdm Modelmentioning

confidence: 99%

“…For instance, they were equal to 15 nN, with peak of 60 nN, in the star-like morphology as well as at the 50 th iteration of free adhesion simulation. In adherent fibroblasts, Balaban et al measured focal adhesion forces equal on average to 10 nN with a peak of 30 nN, and identified a linear relation between force and area of focal adhesion of 5.5 nN/µm 2 .Tan et al found an equivalent relation in smooth muscle cells (Tan et al, 2003). In hMSC cells, Fu et al measured focal adhesion forces equal to 4-8 nN for areas of 1-2 µm 2 and on rigid substrates identified a relation force-area of 3.7 nN/µm 2 (Fu et al, 2010).…”

Section: Mechanical State Of Adherent Cell Depending On Its Morphologymentioning

confidence: 99%

“…Besides the high numerical cost, this approach would not allow CSK rearrangement as easy as in CDM model by forming or vanishing filaments. In fact, numerous FE cell models started to integrate identical descriptions of filaments, other than that in CDM model, in using connector elements that link two nodes to each other following elastic interaction law (Slomka and Gefen, 2010).Compared to the continuum approach of finite element (FE) modelling, the advantage of the CDM model is to describe easily, by means of the LMGC90 code, the discrete filamentous structure of CSK. The mechanical interactions in the CDM model represent the localisation and amount of CSK filaments.…”

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confidence: 99%

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Computational model combined with in vitro experiments to analyse mechanotransduction during mesenchymal stem cell adhesion

Milan¹,

Lavenus²,

Pilet³

et al. 2013

eCM

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The shape that stem cells reach at the end of adhesion process influences their differentiation. Rearrangement of cytoskeleton and modification of intracellular tension may activate mechanotransduction pathways controlling cell commitment. In the present study, the mechanical signals involved in cell adhesion were computed in in vitro stem cells of different shapes using a single cell model, the so-called Cytoskeleton Divided Medium (CDM) model. In the CDM model, the filamentous cytoskeleton and nucleoskeleton networks were represented as a mechanical system of multiple tensile and compressive interactions between the nodes of a divided medium. The results showed that intracellular tonus, focal adhesion forces as well as nuclear deformation increased with cell spreading. The cell model was also implemented to simulate the adhesion process of a cell that spreads on protein-coated substrate by emitting filopodia and creating new distant focal adhesion points. As a result, the cell model predicted cytoskeleton reorganisation and reinforcement during cell spreading. The present model quantitatively computed the evolution of certain elements of mechanotransduction and may be a powerful tool for understanding cell mechanobiology and designing biomaterials with specific surface properties to control cell adhesion and differentiation. Keywords:Mesenchymal stem cells; cell adhesion; cell morphology; computational cell adhesion model; cytoskeleton; mechanical forces; mechanotransduction. IntroductionCell adhesion is fundamental in the field of biomaterials. Especially in orthopaedics, it is crucial for prosthesis osseointegration (Lavenus et al., 2010). Osteoblasts need to adhere on the implant to synthesise the bone tissue that is directly connected to it without the intervening soft tissue. Moreover, stem cells, which are recruited to heal the implant interface, adhere on the surface and differentiate depending, among other factors, on their adherent morphology. For instance, stem cells which reach at the end of adhesion round, elongated or branched shapes depending on substrate topography or stiffness, differentiate preferentially into adipocytes, fibroblasts or osteoblasts, respectively (McBeath et al., 2004;Engler et al., 2006). Therefore, biomaterial surface must promote adhesion of stem cells and their differentiation into the desired phenotype so as to synthesise a periprosthetic tissue, ensuring efficient and viable biomaterial integration. Biomaterials that mimic the natural composition of the extracellular matrix have been developed. They are composed of a biological phase or are coated with RGD complex and showed positive effects on cell adhesion (Von der Mark et al., 2010). Topography and surface chemistry, which play a key role in cell adhesion, may be controlled using nanotechnology. This announces the development of new implant surfaces with predictable tissue-integrative properties (Le Guéhennec et al., 2007;Lavenus et al., 2010).Cell adhesion results from the creation of several discrete focal a...

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Section: Description Of Csk Components By the Cdm Modelmentioning

confidence: 99%

Section: Description Of Csk Components By the Cdm Modelmentioning

confidence: 99%

Section: Mechanical State Of Adherent Cell Depending On Its Morphologymentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Computational model combined with in vitro experiments to analyse mechanotransduction during mesenchymal stem cell adhesion

Milan¹,

Lavenus²,

Pilet³

et al. 2013

eCM

View full text Add to dashboard Cite

show abstract

“…A discrete model for cell mechanics was developed by Wang et al (2001) based on the concept of tensegrity. Confocal microscopy-based 3D cell-specific finite element (FE) model offered a methodology to study the mechanical response of individual cells to applied mechanical stimuli (Slomka and Gefen 2010). The Slomka-Gefen model included the cell nucleus, cytoplasm and plasma membrane.…”

Section: Introductionmentioning

confidence: 99%

Effects of oxidative stress-induced changes in the actin cytoskeletal structure on myoblast damage under compressive stress: confocal-based cell-specific finite element analysis

Yao

Lacroix

Mak

2016

Biomech Model Mechanobiol

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Muscle cells are frequently subjected to both mechanical and oxidative stresses in various physiological and pathological situations. To explore the mechanical mechanism of muscle cell damage under loading and oxidative stresses, we experimentally studied the effects of extrinsic hydrogen peroxides on the actin cytoskeletal structure in C2C12 myoblasts and presented a finite element (FE) analysis of how such changes in the actin cytoskeletal structure affected a myoblast's capability to resist damage under compression. A confocal-based cell-specific FE model was built to parametrically study the effects of stress fiber density, fiber cross-sectional area, fiber tensile prestrain, as well as the elastic moduli of the stress fibers, actin cortex, nucleus and cytoplasm. The results showed that a decrease in the elastic moduli of both the stress fibers and actin cortex could increase the average tensile strain on the actin cortex-membrane structure and reduce the apparent cell elastic modulus. Assuming the cell would die when a certain percentage of membrane elements were strained beyond a threshold, a lower elastic modulus of actin cytoskeleton would compromise the compressive resistance of a myoblast and lead to cell death more readily. This model was used with a Weibull distribution function to successfully describe the extent of myoblasts damaged in a monolayer under compression.

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Comparing the bone regeneration potential between a trabecular bone and a porous scaffold through osteoblast migration and differentiation: A multiscale approach

Majumder,

Gupta,

Das

et al. 2024

Numer Methods Biomed Eng

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Both cell migration and osteogenic differentiation are critical for successful bone regeneration. Therefore, understanding the mechanobiological aspects that govern these two processes is essential in designing effective scaffolds that promote faster bone regeneration. Studying these two factors at different locations is necessary to manage bone regeneration in various sections of a scaffold. Hence, a multiscale computational model was used to observe the mechanical responses of osteoblasts placed in different positions of the trabecular bone and gyroid scaffold. Fluid shear stresses in scaffolds at cell seeded locations (representing osteogenic differentiation) and strain energy densities in cells at cell substrate interface (representing cell migration) were observed as mechanical response parameters in this study. Comparison of these responses, as two critical factors for bone regeneration, between the trabecular bone and gyroid scaffold at different locations, is the overall goal of the study. This study reveals that the gyroid scaffold exhibits higher osteogenic differentiation and cell migration potential compared to the trabecular bone. However, the responses in the gyroid only mimic the trabecular bone in two out of nine positions. These findings can guide us in predicting the ideal cell seeded sites within a scaffold for better bone regeneration and in replicating a replaced bone condition by altering the physical parameters of a scaffold.

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Confocal microscopy-based three-dimensional cell-specific modeling for large deformation analyses in cellular mechanics

Cited by 61 publications

References 32 publications

Computational model combined with in vitro experiments to analyse mechanotransduction during mesenchymal stem cell adhesion

Computational model combined with in vitro experiments to analyse mechanotransduction during mesenchymal stem cell adhesion

Effects of oxidative stress-induced changes in the actin cytoskeletal structure on myoblast damage under compressive stress: confocal-based cell-specific finite element analysis

Comparing the bone regeneration potential between a trabecular bone and a porous scaffold through osteoblast migration and differentiation: A multiscale approach

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