Back

Durotactic Migration Driven by Anisotropic Matrix Stiffening and Mechanical Feedback

Yim, D.; Slater, B.; Kim, T.

2026-05-21 biophysics
10.64898/2026.05.19.726229 bioRxiv
Show abstract

Cell migration is fundamental to various biological processes, including morphogenesis, wound healing, and cancer metastasis. Durotaxis--directed migration of cells in response to spatial variations in stiffness--has been extensively studied using engineered substrates with prescribed stiffness. However, recent work has increasingly shifted toward understanding cell migration in fibrous matrices that can be actively remodeled by the actomyosin contractility, as commonly observed in tumor and epithelial cells. Despite these advances, a theoretical framework explaining how cells structurally remodel their surrounding matrix to promote their own durotaxis, and which cellular forces govern this behavior, remains elusive. To address this gap, we developed a biomechanical model in which polarized cells contract and migrate over a fibrous matrix. Using this model, we first confirmed that cells on an externally strained matrix preferentially migrate along the direction of applied strain. Then, we investigated how cells autonomously remodel the matrix to create stiffness patterns favorable for durotaxis. In the presence of intercellular adhesion, cells acted collectively to stiffen the matrix, after which a small subset of cells escaped the main population and migrated outward. This behavior is reminiscent of intravasation during cancer metastasis, where cohesive cell clusters generate local matrix remodeling that facilitates the departure of more motile subpopulations. These results illustrate how matrix stiffening driven by cell cohesion and contractility regulates durotactic behavior and provide mechanistic insight into collective invasion processes relevant to cancer metastasis.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Biophysical Journal
545 papers in training set
Top 0.4%
12.2%
2
Acta Biomaterialia
85 papers in training set
Top 0.1%
9.8%
3
Nature Materials
21 papers in training set
Top 0.1%
6.2%
4
Nature Physics
39 papers in training set
Top 0.3%
6.1%
5
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 15%
4.7%
6
PRX Life
34 papers in training set
Top 0.1%
3.9%
7
iScience
1063 papers in training set
Top 4%
3.8%
8
eLife
5422 papers in training set
Top 27%
3.5%
50% of probability mass above
9
PLOS Computational Biology
1633 papers in training set
Top 10%
3.5%
10
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.2%
3.5%
11
Advanced Science
249 papers in training set
Top 6%
3.5%
12
Scientific Reports
3102 papers in training set
Top 39%
3.5%
13
Journal of The Royal Society Interface
189 papers in training set
Top 1%
3.0%
14
Nature Communications
4913 papers in training set
Top 44%
2.7%
15
Physical Review Research
46 papers in training set
Top 0.2%
2.7%
16
Physical Biology
43 papers in training set
Top 0.6%
2.7%
17
APL Bioengineering
18 papers in training set
Top 0.1%
1.8%
18
Physical Review Letters
43 papers in training set
Top 0.3%
1.7%
19
Cytoskeleton
23 papers in training set
Top 0.2%
1.3%
20
Molecular Biology of the Cell
272 papers in training set
Top 2%
1.3%
21
Nano Letters
63 papers in training set
Top 2%
1.2%
22
ACS Nano
99 papers in training set
Top 3%
0.9%
23
Science Advances
1098 papers in training set
Top 26%
0.9%
24
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
25
Cell Reports
1338 papers in training set
Top 31%
0.9%
26
PNAS Nexus
147 papers in training set
Top 1%
0.9%
27
Soft Matter
50 papers in training set
Top 0.4%
0.8%
28
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.8%
0.8%
29
Cancers
200 papers in training set
Top 5%
0.7%
30
PLOS ONE
4510 papers in training set
Top 70%
0.7%