Back

Multiscale modeling of cell-substrate adhesion dynamics: effects of integrin activation, clustering and internalization

Liang, H.; Fang, W.; Chen, X.; Li, B.; Feng, X.-Q.

2025-09-07 biophysics
10.1101/2025.09.05.674169 bioRxiv
Show abstract

Cell adhesion is a fundamental biological process that governs cell proliferation, differentiation, migration, and tissue development. Cells adhere to the extracellular matrix through specialized transmembrane proteins, whose structures and functions are well studied. However, how mechanical, chemical, and biological factors interact to regulate these proteins and hence to shape cross-scale adhesion dynamics from molecular clustering to cellular migration remains unclear. Here, we propose a multiscale mechano-biochemical coupling framework to investigate the dynamics of cell-substrate adhesions, incorporating comprehensive molecular steps in the integrin life cycle, including activation, clustering, signal transduction and internalization. Our model elucidates the roles of caveolin transport and actin flow in modulating integrin dynamics and FA morphology. We identify the antagonistic interplay between integrin internalization and clustering that governs cross-scale adhesion dynamics. Furthermore, our model quantitatively demonstrates how the substrate stiffness regulates the integrin clustering size and internalization rate. These findings provide mechanistic insights into the regulation of cell migration, particularly the transition between durotaxis and negative durotaxis, driven by intracellular and extracellular microenvironmental factors. Our model offers an effective framework for understanding the cross-scale regulation process of cell adhesion involved in physiological and pathological activities, such as stem cell differentiation and cancer metastasis.

Matching journals

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

1
Biophysical Journal
631 papers in training set
Top 0.5%
15.2%
2
PLOS Computational Biology
1863 papers in training set
Top 3%
12.0%
3
Physical Review Research
49 papers in training set
Top 0.1%
12.0%
4
Soft Matter
60 papers in training set
Top 0.1%
10.7%
50% of probability mass above
5
PRX Life
42 papers in training set
Top 0.1%
4.1%
6
Physical Review E
112 papers in training set
Top 0.5%
3.3%
7
Scientific Reports
3612 papers in training set
Top 43%
2.4%
8
PNAS Nexus
159 papers in training set
Top 0.4%
2.4%
9
eLife
5828 papers in training set
Top 43%
2.1%
10
Biomechanics and Modeling in Mechanobiology
29 papers in training set
Top 0.2%
2.1%
11
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 23%
2.1%
12
New Journal of Physics
10 papers in training set
Top 0.1%
2.1%
13
Cytoskeleton
27 papers in training set
Top 0.2%
1.7%
14
PLOS ONE
5266 papers in training set
Top 52%
1.4%
15
Journal of The Royal Society Interface
235 papers in training set
Top 3%
1.3%
16
iScience
1154 papers in training set
Top 22%
1.3%
17
Journal of Biomechanical Engineering
20 papers in training set
Top 0.4%
1.1%
18
Physical Biology
46 papers in training set
Top 0.6%
1.1%
19
Advanced Science
286 papers in training set
Top 7%
1.1%
20
Journal of Theoretical Biology
162 papers in training set
Top 2%
0.9%
21
The European Physical Journal Plus
13 papers in training set
Top 0.3%
0.9%
22
Frontiers in Physics
21 papers in training set
Top 0.3%
0.9%
23
Physical Review X
25 papers in training set
Top 0.5%
0.6%
24
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 6%
0.6%
25
Physical Review Letters
47 papers in training set
Top 0.5%
0.6%
26
Nature Communications
5641 papers in training set
Top 59%
0.6%
27
Royal Society Open Science
214 papers in training set
Top 7%
0.6%