Back

A Computational Model of Mechanical Stretching of Cultured Cells on a Flexible Membrane

Massidda, M. M.; Ashirov, D.; Demkov, A.; Sices, A.; Baker, A.

2024-06-09 bioengineering
10.1101/2024.06.06.597769 bioRxiv
Show abstract

Mechanical forces applied to cells are known to regulate a wide variety of biological processes. Recent studies have supported that mechanical forces can cause nuclear deformation, leading to significant alterations in the gene expression and chromatin landscape of the cell. While the stresses and strains applied to cells is it is often known or controlled experimentally on a macroscopic length scale, it is often unclear what the actual forces and displacements are at the microscopic level of the cell. In this work, we created a model of cell deformation during application of mechanical stretch to cultured cells growth on a flexible membrane. This configuration is commonly used is in experimental studies as a means to apply controlled mechanical strains to adherent cultured cells. The parameters used in the study were used for application of strain to a mesenchymal stem cell stretched on a membrane. computational model was created to simulate the stresses and strains within the cell under a variety of stain amplitudes, waveforms and frequencies of mechanical loading with the range of commonly used experimental systems. The results demonstrate the connection between mechanical loading parameters applied through the flexible membrane and the resulting stresses and strains within the cell and nucleus. Using a viscoelastic model of chromatin, we connected the results provide to a rough model of resulting deformation within chromatin from the forces applied to the nucleus. Overall, the model is useful in providing insight between experimentally applied mechanical forces and the actual forces within the cell to better interpret the results of experimental studies. Statement of SignificanceIn this work, we created a computational model of the mechanical stretching of cell on a flexible membrane under cyclic mechanical loading. This model provides insight into the forces and displacements inside of cell that result from that application of stretch. As many experiments use this set up, our work is relevant to interpreting many studies that use mechanical stretch to stimulate mechanotransduction.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Biomechanics and Modeling in Mechanobiology
29 papers in training set
Top 0.1%
21.9%
2
Journal of the Mechanical Behavior of Biomedical Materials
24 papers in training set
Top 0.1%
12.9%
3
Annals of Biomedical Engineering
37 papers in training set
Top 0.1%
9.8%
4
Biophysical Journal
631 papers in training set
Top 1.0%
7.9%
50% of probability mass above
5
Journal of Biomechanics
64 papers in training set
Top 0.2%
5.5%
6
Scientific Reports
3612 papers in training set
Top 29%
3.5%
7
Small
78 papers in training set
Top 0.4%
3.2%
8
PLOS Computational Biology
1863 papers in training set
Top 10%
3.2%
9
Journal of The Royal Society Interface
235 papers in training set
Top 2%
2.4%
10
Bioengineering & Translational Medicine
21 papers in training set
Top 0.2%
2.1%
11
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 1.0%
1.9%
12
Acta Biomaterialia
92 papers in training set
Top 0.7%
1.7%
13
Cellular and Molecular Bioengineering
22 papers in training set
Top 0.2%
1.7%
14
APL Bioengineering
19 papers in training set
Top 0.1%
1.5%
15
Soft Matter
60 papers in training set
Top 0.5%
1.3%
16
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.7%
1.1%
17
Advanced Science
286 papers in training set
Top 7%
1.1%
18
PLOS ONE
5266 papers in training set
Top 59%
1.0%
19
Science Advances
1243 papers in training set
Top 30%
0.8%
20
Journal of Biomechanical Engineering
20 papers in training set
Top 0.6%
0.8%
21
Nature Communications
5641 papers in training set
Top 57%
0.8%