Realizations of highly heterogeneous collagen networks via stochastic reconstruction for micromechanical analysis of tumor cell invasion

材料科学 生物系统 物理 生物
作者
Hanqing Nan,Long Liang,Guo Chen,Liyu Liu,Ruchuan Liu,Yang Jiao
出处
期刊:Physical review [American Physical Society]
卷期号:97 (3) 被引量:27
标识
DOI:10.1103/physreve.97.033311
摘要

Three-dimensional (3D) collective cell migration in a collagen-based extracellular matrix (ECM) is among one of the most significant topics in developmental biology, cancer progression, tissue regeneration, and immune response. Recent studies have suggested that collagen-fiber mediated force transmission in cellularized ECM plays an important role in stress homeostasis and regulation of collective cellular behaviors. Motivated by the recent in vitro observation that oriented collagen can significantly enhance the penetration of migrating breast cancer cells into dense Matrigel which mimics the intravasation process in vivo [Han et al. Proc. Natl. Acad. Sci. USA 113, 11208 (2016)PNASA60027-842410.1073/pnas.1610347113], we devise a procedure for generating realizations of highly heterogeneous 3D collagen networks with prescribed microstructural statistics via stochastic optimization. Specifically, a collagen network is represented via the graph (node-bond) model and the microstructural statistics considered include the cross-link (node) density, valence distribution, fiber (bond) length distribution, as well as fiber orientation distribution. An optimization problem is formulated in which the objective function is defined as the squared difference between a set of target microstructural statistics and the corresponding statistics for the simulated network. Simulated annealing is employed to solve the optimization problem by evolving an initial network via random perturbations to generate realizations of homogeneous networks with randomly oriented fibers, homogeneous networks with aligned fibers, heterogeneous networks with a continuous variation of fiber orientation along a prescribed direction, as well as a binary system containing a collagen region with aligned fibers and a dense Matrigel region with randomly oriented fibers. The generation and propagation of active forces in the simulated networks due to polarized contraction of an embedded ellipsoidal cell and a small group of cells are analyzed by considering a nonlinear fiber model incorporating strain hardening upon large stretching and buckling upon compression. Our analysis shows that oriented fibers can significantly enhance long-range force transmission in the network. Moreover, in the oriented-collagen-Matrigel system, the forces generated by a polarized cell in collagen can penetrate deeply into the Matrigel region. The stressed Matrigel fibers could provide contact guidance for the migrating cell cells, and thus enhance their penetration into Matrigel. This suggests a possible mechanism for the observed enhanced intravasation by oriented collagen.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可靠白安发布了新的文献求助10
1秒前
2秒前
Owen应助qq采纳,获得10
3秒前
wulanshu发布了新的文献求助10
5秒前
5秒前
6aff完成签到,获得积分10
6秒前
大喜完成签到,获得积分10
7秒前
小马甲应助d叨叨鱼采纳,获得10
8秒前
贪玩星发布了新的文献求助10
11秒前
扶瑶直上发布了新的文献求助10
11秒前
11秒前
11秒前
Jane发布了新的文献求助10
12秒前
LT关闭了LT文献求助
13秒前
13秒前
13秒前
hubben发布了新的文献求助10
15秒前
d叨叨鱼发布了新的文献求助30
15秒前
小怪兽完成签到,获得积分10
15秒前
阿杰完成签到,获得积分10
15秒前
科研通AI6.3应助可靠白安采纳,获得10
15秒前
17秒前
17秒前
是夏夏发布了新的文献求助10
18秒前
斯文败类应助科研通管家采纳,获得10
18秒前
爆米花应助科研通管家采纳,获得10
18秒前
传奇3应助科研通管家采纳,获得10
18秒前
李爱国应助科研通管家采纳,获得10
19秒前
poly发布了新的文献求助30
19秒前
arniu2008应助科研通管家采纳,获得20
19秒前
arniu2008应助科研通管家采纳,获得20
19秒前
Hello应助科研通管家采纳,获得10
19秒前
烟花应助科研通管家采纳,获得10
19秒前
诚心香菇应助科研通管家采纳,获得10
19秒前
丘比特应助科研通管家采纳,获得10
19秒前
20秒前
20秒前
20秒前
20秒前
21秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254448
求助须知:如何正确求助?哪些是违规求助? 8876486
关于积分的说明 18742418
捐赠科研通 6934996
什么是DOI,文献DOI怎么找? 3200159
关于科研通互助平台的介绍 2374790
邀请新用户注册赠送积分活动 2175112