Back

Computational Design for Engineering Layered Tissue Architectures via Cell-Cell Interfacial Tension Modulation

Thiticharoentam, C.; Fukamachi, S.; Horiguchi, S. A.; Okuda, S.

2026-03-19 bioengineering
10.64898/2026.03.17.712503 bioRxiv
Show abstract

The spatial arrangement of cells is fundamental to the mechanical and functional integrity of three-dimensional (3D) tissues, yet engineering spatially well-controlled tissue architectures remains challenging. Here, we computationally investigated how layered tissue architectures can be designed by modulating cell-cell interfacial tension. We performed simulations using a 3D vertex model and systematically varied interfacial tension magnitudes. The simulations generated a range of layered tissue architectures, including planar monolayers, bilayers, and structurally stratified states. In homogeneous cell populations, increasing interfacial tension drove transitions from monolayer to structurally stratified configurations. In heterogeneous populations, differential interfacial tensions induced out-of-plane cell sorting and the formation of compositionally sorted multilayers. Moreover, a recursive tension design strategy enabled hierarchical organization of multiple cell types into separate layers. Notably, this recursive scheme uses only two tension levels (high vs. low) assigned across interfaces and can, in principle, be extended to specify layered architectures with an arbitrary number of layers. Together, these results identify cell-cell interfacial tension as a tunable mechanical parameter for regulating layered tissue architecture and provide design principles for layered tissue engineering and regenerative medicine.

Matching journals

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

1
Nature Materials
21 papers in training set
Top 0.1%
17.1%
2
Advanced Science
249 papers in training set
Top 0.7%
14.0%
3
Nature Communications
4913 papers in training set
Top 19%
9.8%
4
Cell Systems
167 papers in training set
Top 1%
9.8%
50% of probability mass above
5
Nano Letters
63 papers in training set
Top 0.7%
4.2%
6
ACS Nano
99 papers in training set
Top 1%
3.5%
7
Advanced Functional Materials
41 papers in training set
Top 0.9%
3.2%
8
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 23%
3.0%
9
Acta Biomaterialia
85 papers in training set
Top 0.4%
2.5%
10
APL Bioengineering
18 papers in training set
Top 0.1%
2.0%
11
Science Advances
1098 papers in training set
Top 13%
2.0%
12
Advanced Materials
53 papers in training set
Top 1%
1.8%
13
PLOS Computational Biology
1633 papers in training set
Top 17%
1.7%
14
Nature Biomedical Engineering
42 papers in training set
Top 0.9%
1.7%
15
Communications Biology
886 papers in training set
Top 11%
1.4%
16
Biophysical Journal
545 papers in training set
Top 4%
1.3%
17
iScience
1063 papers in training set
Top 22%
1.2%
18
Cell Reports
1338 papers in training set
Top 31%
0.9%
19
Nature Computational Science
50 papers in training set
Top 1%
0.9%
20
Developmental Cell
168 papers in training set
Top 11%
0.9%
21
PRX Life
34 papers in training set
Top 0.7%
0.9%
22
Scientific Reports
3102 papers in training set
Top 72%
0.9%
23
Advanced Healthcare Materials
71 papers in training set
Top 2%
0.8%
24
Small
70 papers in training set
Top 1%
0.8%
25
Biofabrication
32 papers in training set
Top 0.7%
0.8%
26
Nature Physics
39 papers in training set
Top 1%
0.7%
27
eLife
5422 papers in training set
Top 59%
0.7%
28
Cell Reports Physical Science
18 papers in training set
Top 1.0%
0.7%
29
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 1%
0.6%