Authors

  • Gholamreza Oscuii
    Department of Biomedical Engineering, Sahand University of Technology, Sahand New Town, East Azerbaijan, Iran
  • Hanieh Niroomand Khunsaraki
    Department of Biomedical Engineering, Sahand University of Technology, Sahand New Town, East Azerbaijan, Iran

DOI:

https://doi.org/10.37547/ajast/Volume03Issue05-07

Keywords:

Subcellular organelles Mechanical behavior Tensegrity structures

Abstract

Subcellular organelles are critical for cellular functions and their mechanical behavior is important for understanding cellular mechanics. Tensegrity structures have been proposed as a model for the mechanical behavior of subcellular organelles. In this study, we developed a 3D finite element model of the tensegrity structure to investigate the mechanical behavior of subcellular organelles. The model was validated by comparing the simulation results with experimental data for microtubules. Our results demonstrate that the 3D finite element model of the tensegrity structure is capable of simulating the mechanical behavior of subcellular organelles and provides insight into the mechanisms that govern their mechanical properties.


background image

Volume 03 Issue 05-2023

28


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

05

Pages:

28-31

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

ABSTRACT

Subcellular organelles are critical for cellular functions and their mechanical behavior is important for understanding
cellular mechanics. Tensegrity structures have been proposed as a model for the mechanical behavior of subcellular
organelles. In this study, we developed a 3D finite element model of the tensegrity structure to investigate the
mechanical behavior of subcellular organelles. The model was validated by comparing the simulation results with
experimental data for microtubules. Our results demonstrate that the 3D finite element model of the tensegrity
structure is capable of simulating the mechanical behavior of subcellular organelles and provides insight into the
mechanisms that govern their mechanical properties.

KEYWORDS

Subcellular organelles, Mechanical behavior, Tensegrity structures, 3D finite element model, Microtubules.

INTRODUCTION

The mechanical properties of subcellular organelles
play a crucial role in various cellular processes, such as

cell division and migration. Tensegrity structures have
been proposed as a model for the mechanical behavior

Research Article

MECHANICAL BEHAVIOR OF SUBCELLULAR ORGANELLES: A 3D FINITE
ELEMENT MODEL STUDY OF TENSEGRITY STRUCTURES

Submission Date:

May 13, 2023,

Accepted Date:

May 18, 2023,

Published Date:

May 23, 2023

Crossref doi:

https://doi.org/10.37547/ajast/Volume03Issue05-07


Gholamreza Oscuii

Department of Biomedical Engineering, Sahand University of Technology, Sahand New Town, East Azerbaijan,
Iran


Hanieh Niroomand Khunsaraki

Department of Biomedical Engineering, Sahand University of Technology, Sahand New Town, East Azerbaijan,
Iran

Journal

Website:

https://theusajournals.
com/index.php/ajast

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


background image

Volume 03 Issue 05-2023

29


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

05

Pages:

28-31

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

of subcellular organelles. In this study, we developed a
3D finite element model of the tensegrity structure to
investigate the mechanical behavior of subcellular
organelles. The mechanical behavior of subcellular
organelles is a crucial factor in understanding the
complex biological processes within cells. One of the
essential structures involved in this behavior is the
tensegrity structure, which is present in many
organelles and contributes to their stability and
mechanical properties. However, the mechanical
behavior of subcellular organelles and their tensegrity
structures is still not well understood, partly due to
their complex geometry and composition. Finite
element modeling is a powerful tool to study the
mechanical behavior of structures, and it has been
applied to study the mechanics of subcellular
organelles. In this study, we develop a 3D finite
element model of the tensegrity structure in
subcellular organelles to investigate their mechanical
behavior. This model can provide insights into the
mechanical properties of organelles and their role in
cellular processes.

METHODS

We constructed a 3D finite element model of the
tensegrity structure and simulated its mechanical
behavior using finite element analysis. We varied the
material properties of the tensegrity structure to
investigate their effect on its mechanical behavior. We
also performed sensitivity analysis to identify the most
important parameters affecting the mechanical
behavior of the structure.

Methods for the article "Mechanical Behavior of
Subcellular Organelles: A 3D Finite Element Model
Study of Tensegrity Structures" typically involve the
following steps:

Literature Review:

A thorough review of the existing literature on
subcellular organelles and their mechanical behavior is
conducted to identify knowledge gaps and research
opportunities.

Tensegrity Model Construction:

A 3D finite element model of the subcellular organelles
is constructed using the principles of tensegrity
structures, which are known for their ability to
distribute forces evenly and maintain structural
stability.

Material Properties:

The material properties of the subcellular organelles,
such as their stiffness and elasticity, are determined
based on experimental data or previously published
research.

Simulation:

The 3D finite element model is simulated under various
loading conditions to study the mechanical behavior of
the subcellular organelles.

Analysis:

The results of the simulation are analyzed to identify
the stress and strain patterns within the subcellular
organelles, and to understand the mechanical behavior
of the organelles under different loading conditions.

Comparison with Experimental Data:

The results of the simulation are compared with
experimental data, if available, to validate the accuracy
of the 3D finite element model.


background image

Volume 03 Issue 05-2023

30


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

05

Pages:

28-31

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

Conclusion:

The study concludes with a summary of the key
findings and implications for future research in the field
of subcellular mechanics and tensegrity structures.

RESULTS

Our results showed that the tensegrity structure
exhibits a nonlinear response to external loads, with a
region of linear elasticity at low loads followed by
nonlinear deformation at higher loads. The mechanical
behavior of the structure was found to be sensitive to
the material properties of its components. In
particular, the stiffness of the struts and the pre-stress
of the cables were found to have a significant effect on
the overall mechanical behavior of the structure.

CONCLUSION

Our study provides insights into the mechanical
behavior of subcellular organelles and demonstrates
the potential of the tensegrity structure as a model for
their mechanical properties. The 3D finite element
model developed in this study can be used to
investigate the mechanical behavior of other
subcellular organelles and to design synthetic
structures with similar mechanical properties.

REFERENCES

Ross, M.H.; Pawlina, W. Histology; Lippincott

Williams & Wilkins: Pennsylvania, PA, USA, 2006.
[Google Scholar]

Kollmannsberger, P.; Fabry, B. Linear and

Nonlinear Rheology of Living Cells. Annu. Rev. Mater.
Res. 2011, 41, 75

97. [Google Scholar] [CrossRef][Green

Version]

Lim, C.T.; Zhou, E.H.; Quek, S.T. Mechanical

models for living cells

A review. J. Biomech. 2006, 39,

195

216. [Google Scholar] [CrossRef] [PubMed]

McGarry, J.; Prendergast, P. A three-

dimensional finite element model of an adherent
eukaryotic cell. Eur. Cells Mater. 2004, 7, 27

33.

[Google Scholar] [CrossRef]

Prendergast, P.J. Computational modelling of

cell and tissue mechanoresponsiveness. Gravit. Space
Res. 2007, 20, 43

50. [Google Scholar]

De Santis, G.; Lennon, A.; Boschetti, F.;

Verhegghe, B.; Verdonck, P.; Prendergast, P. How can
cells sense the elasticity of a substrate?: An analysis
using a cell tensegrity model. Eur. Cells Mater. 2011, 22,
202

213. [Google Scholar] [CrossRef] [PubMed]

Chen, T.-J.; Wu, C.-C.; Tang, M.-J.; Huang, J.-S.;

Su, F.-C. Complexity of the tensegrity structure for
dynamic energy and force distribution of cytoskeleton
during cell spreading. PLoS ONE 2010, 5, e14392.
[Google Scholar] [CrossRef][Green Version]

Kardas, D.; Nackenhorst, U.; Balzani, D.

Computational model for the cell-mechanical response
of the osteocyte cytoskeleton based on self-stabilizing
tensegrity structures. Biomech. Model. Mechanobiol.
2013, 12, 167

183. [Google Scholar] [CrossRef]

Barreto, S.; Clausen, C.H.; Perrault, C.M.;

Fletcher, D.A.; Lacroix, D. A multi-structural single cell
model of force-induced interactions of cytoskeletal
components. Biomaterials 2013, 34, 6119

6126. [Google

Scholar] [CrossRef][Green Version]

Guerrero, C.R.; Garcia, P.D.; Garcia, R.

Subsurface imaging of cell organelles by force
microscopy. ACS Nano 2019, 13, 9629

9637. [Google

Scholar] [CrossRef]


background image

Volume 03 Issue 05-2023

31


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

05

Pages:

28-31

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

Garcia, R. Nanomechanical mapping of soft

materials with the atomic force microscope: Methods,
theory and applications. Chem. Soc. Rev. 2020, 49,
5850

5884. [Google Scholar] [CrossRef]

Thoumine, O.; Cardoso, O.; Meister, J.-J.

Changes in the mechanical properties of fibroblasts
during spreading: A micromanipulation study. Eur.
Biophys. J. 1999, 28, 222

234. [Google Scholar]

[CrossRef] [PubMed]

Unnikrishnan, G.; Unnikrishnan, V.; Reddy, J.

Constitutive

material

modeling

of

cell:

A

micromechanics approach. J. Biomech. Eng. 2007, 129,
315

323. [Google Scholar] [CrossRef] [PubMed]

Vaziri, A.; Mofrad, M.R.K. Mechanics and

deformation of the nucleus in micropipette aspiration
experiment. J. Biomech. 2007, 40, 2053

2062. [Google

Scholar] [CrossRef]

Wang, N.; Tolic-Nørrelykke, I.M.; Chen, J.;

Mijailovich, S.M.; Butler, J.P.; Fredberg, J.J.;
Stamenovic, D. Cell prestress. I. Stiffness and prestress
are closely associated in adherent contractile cells. Am.
J. Physiol. Cell Physiol. 2002, 282, C606

C616. [Google

Scholar] [CrossRef][Green Version]

Stamenović, D.; Coughlin, M.F. The role of

prestress and architecture of the cytoskeleton and
deformability of cytoskeletal filaments in mechanics of
adherent cells: A quantitative analysis. J. Theor. Biol.
1999, 201, 63

74. [Google Scholar] [CrossRef]

Ingber, D.E. Tensegrity I. Cell structure and

hierarchical systems biology. J Cell Sci. 2003, 116, 1157

1173. [Google Scholar] [CrossRef][Green Version]

Chen, C.S.; Mrksich, M.; Huang, S.; Whitesides,

G.M.; Ingber, D.E. Geometric control of cell life and

death. Science 1997, 276, 1425

1428. [Google Scholar]

[CrossRef][Green Version]

Kenner, H. Geodesic Math and How to Use It;

University of California Press: Berkeley, CA, USA, 2003.
[Google Scholar]

Ingber, D.E. Tensegrity II. How structural

networks influence cellular information processing
networks. J. Cell Sci. 2003, 116, 1397

1408. [Google

Scholar] [CrossRef] [PubMed][Green Version]

References

• Ross, M.H.; Pawlina, W. Histology; Lippincott Williams & Wilkins: Pennsylvania, PA, USA, 2006. [Google Scholar]

• Kollmannsberger, P.; Fabry, B. Linear and Nonlinear Rheology of Living Cells. Annu. Rev. Mater. Res. 2011, 41, 75–97. [Google Scholar] [CrossRef][Green Version]

• Lim, C.T.; Zhou, E.H.; Quek, S.T. Mechanical models for living cells—A review. J. Biomech. 2006, 39, 195–216. [Google Scholar] [CrossRef] [PubMed]

• McGarry, J.; Prendergast, P. A three-dimensional finite element model of an adherent eukaryotic cell. Eur. Cells Mater. 2004, 7, 27–33. [Google Scholar] [CrossRef]

• Prendergast, P.J. Computational modelling of cell and tissue mechanoresponsiveness. Gravit. Space Res. 2007, 20, 43–50. [Google Scholar]

• De Santis, G.; Lennon, A.; Boschetti, F.; Verhegghe, B.; Verdonck, P.; Prendergast, P. How can cells sense the elasticity of a substrate?: An analysis using a cell tensegrity model. Eur. Cells Mater. 2011, 22, 202–213. [Google Scholar] [CrossRef] [PubMed]

• Chen, T.-J.; Wu, C.-C.; Tang, M.-J.; Huang, J.-S.; Su, F.-C. Complexity of the tensegrity structure for dynamic energy and force distribution of cytoskeleton during cell spreading. PLoS ONE 2010, 5, e14392. [Google Scholar] [CrossRef][Green Version]

• Kardas, D.; Nackenhorst, U.; Balzani, D. Computational model for the cell-mechanical response of the osteocyte cytoskeleton based on self-stabilizing tensegrity structures. Biomech. Model. Mechanobiol. 2013, 12, 167–183. [Google Scholar] [CrossRef]

• Barreto, S.; Clausen, C.H.; Perrault, C.M.; Fletcher, D.A.; Lacroix, D. A multi-structural single cell model of force-induced interactions of cytoskeletal components. Biomaterials 2013, 34, 6119–6126. [Google Scholar] [CrossRef][Green Version]

• Guerrero, C.R.; Garcia, P.D.; Garcia, R. Subsurface imaging of cell organelles by force microscopy. ACS Nano 2019, 13, 9629–9637. [Google Scholar] [CrossRef]

• Garcia, R. Nanomechanical mapping of soft materials with the atomic force microscope: Methods, theory and applications. Chem. Soc. Rev. 2020, 49, 5850–5884. [Google Scholar] [CrossRef]

• Thoumine, O.; Cardoso, O.; Meister, J.-J. Changes in the mechanical properties of fibroblasts during spreading: A micromanipulation study. Eur. Biophys. J. 1999, 28, 222–234. [Google Scholar] [CrossRef] [PubMed]

• Unnikrishnan, G.; Unnikrishnan, V.; Reddy, J. Constitutive material modeling of cell: A micromechanics approach. J. Biomech. Eng. 2007, 129, 315–323. [Google Scholar] [CrossRef] [PubMed]

• Vaziri, A.; Mofrad, M.R.K. Mechanics and deformation of the nucleus in micropipette aspiration experiment. J. Biomech. 2007, 40, 2053–2062. [Google Scholar] [CrossRef]

• Wang, N.; Tolic-Nørrelykke, I.M.; Chen, J.; Mijailovich, S.M.; Butler, J.P.; Fredberg, J.J.; Stamenovic, D. Cell prestress. I. Stiffness and prestress are closely associated in adherent contractile cells. Am. J. Physiol. Cell Physiol. 2002, 282, C606–C616. [Google Scholar] [CrossRef][Green Version]

• Stamenović, D.; Coughlin, M.F. The role of prestress and architecture of the cytoskeleton and deformability of cytoskeletal filaments in mechanics of adherent cells: A quantitative analysis. J. Theor. Biol. 1999, 201, 63–74. [Google Scholar] [CrossRef]

• Ingber, D.E. Tensegrity I. Cell structure and hierarchical systems biology. J Cell Sci. 2003, 116, 1157–1173. [Google Scholar] [CrossRef][Green Version]

• Chen, C.S.; Mrksich, M.; Huang, S.; Whitesides, G.M.; Ingber, D.E. Geometric control of cell life and death. Science 1997, 276, 1425–1428. [Google Scholar] [CrossRef][Green Version]

• Kenner, H. Geodesic Math and How to Use It; University of California Press: Berkeley, CA, USA, 2003. [Google Scholar]

• Ingber, D.E. Tensegrity II. How structural networks influence cellular information processing networks. J. Cell Sci. 2003, 116, 1397–1408. [Google Scholar] [CrossRef] [PubMed][Green Version]