A three-dimensional computational model of collagen network mechanics.
A three-dimensional computational model of collagen network mechanics.
复制标题
胶原网络力学的三维计算模型
DOI:
10.1371/journal.pone.0111896
复制
发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Jiang Y
中科院分区:
文献类型:
--
作者:
Lee B;Zhou X;Riching K;Eliceiri KW;Keely PJ;Guelcher SA;Weaver AM;Jiang Y
Extracellular matrix (ECM) strongly influences cellular behaviors, including cell proliferation, adhesion, and particularly migration. In cancer, the rigidity of the stromal collagen environment is thought to control tumor aggressiveness, and collagen alignment has been linked to tumor cell invasion. While the mechanical properties of collagen at both the single fiber scale and the bulk gel scale are quite well studied, how the fiber network responds to local stress or deformation, both structurally and mechanically, is poorly understood. This intermediate scale knowledge is important to understanding cell-ECM interactions and is the focus of this study. We have developed a three-dimensional elastic collagen fiber network model (bead-and-spring model) and studied fiber network behaviors for various biophysical conditions: collagen density, crosslinker strength, crosslinker density, and fiber orientation (random vs. prealigned). We found the best-fit crosslinker parameter values using shear simulation tests in a small strain region. Using this calibrated collagen model, we simulated both shear and tensile tests in a large linear strain region for different network geometry conditions. The results suggest that network geometry is a key determinant of the mechanical properties of the fiber network. We further demonstrated how the fiber network structure and mechanics evolves with a local formation, mimicking the effect of pulling by a pseudopod during cell migration. Our computational fiber network model is a step toward a full biomechanical model of cellular behaviors in various ECM conditions.
登录
查看更多内容
影响因子:
3.7
作者:
Alberts JB
通讯作者:
Alberts JB
影响因子:
2.7
作者:
Buehler, Markus J.
通讯作者:
Buehler, Markus J.
DOI:
10.1126/science.1176009
发表时间:
2009-11-27
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Hynes RO
通讯作者:
Hynes RO
影响因子:
14
作者:
Charulatha, V;Rajaram, A
通讯作者:
Rajaram, A
影响因子:
8.6
作者:
Onck, PR;Koeman, T;van der Giessen, E
通讯作者:
van der Giessen, E