Pan-tissue scaling of stiffness versus fibrillar collagen reflects contractile-strain-driven collagen degradation

生物物理学 拉伤 刚度 降级(电信) 化学 胶原纤维 材料科学 解剖 复合材料 生物 计算机科学 电信
作者
Karanvir Saini,Sang-Kyun Cho,Manu Tewari,AbdelAziz Jalil,Mai Wang,Alex Kasznel,Kazuhiro Yamamoto,David M. Chenoweth,Dennis E. Discher
出处
期刊:Biophysical Journal [Elsevier]
卷期号:123 (3): 469a-469a
标识
DOI:10.1016/j.bpj.2023.11.2834
摘要

Polymer network properties such as stiffness often exhibit characteristic power laws in polymer density and other parameters. However, it remains unclear whether diverse animal tissues, composed of many distinct polymers, exhibit such scaling and how cell and molecular mechanisms contribute towards homeostatic differences among tissues. Here, we examined many diverse tissues from adult mouse and embryonic chick to determine if stiffness (Etissue) follows a power law in relation to the most abundant animal protein, collagen-I, even with molecular perturbations. We quantified fibrillar collagen in intact tissue by label-free second harmonic generation (SHG) imaging and from tissue extracts by mass spectrometry (MS), and collagenase-mediated decreases were also tracked. Pan-tissue power laws for tissue stiffness versus collagen-I levels measured by SHG or MS exhibit sub-linear scaling that aligns with results from cellularized gels of collagen-I but not acellular gels. Inhibition of cellular myosin-II based contractile strains fits the scaling, and combination with inhibitors of matrix metalloproteinases (MMPs) show collagenase activity is strain - not stress- suppressed in tissues, consistent with past studies of gels and fibrils. Beating embryonic hearts and tendons, which differ in both collagen levels and stiffness by >1,000-fold, similarly suppressed collagenases at physiological strains of ≈5%, with fiber-orientation regulating degradation via strain-dependent collagen molecular conformation. Scaling of Etissue based on “use-it-or-lose-it” kinetics provides insight into scaling of organ size, microgravity effects, and regeneration processes while suggesting contractility-driven therapeutics.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
1秒前
嘿嘿应助13508104971采纳,获得10
2秒前
Hide杰完成签到 ,获得积分10
3秒前
科研通AI6.1应助sunny采纳,获得10
3秒前
3秒前
yuyuan完成签到,获得积分10
4秒前
啵清啵发布了新的文献求助10
4秒前
zhq完成签到 ,获得积分10
5秒前
zhaofx发布了新的文献求助10
5秒前
烟王之王发布了新的文献求助10
5秒前
Bai完成签到,获得积分10
6秒前
6秒前
Ww发布了新的文献求助10
8秒前
Lucas应助葵花籽采纳,获得10
9秒前
10秒前
11秒前
Bai发布了新的文献求助10
11秒前
自觉灵雁完成签到,获得积分20
11秒前
12秒前
优美霸发布了新的文献求助10
12秒前
zhaofx完成签到,获得积分20
14秒前
Lmm发布了新的文献求助10
14秒前
16秒前
16秒前
SciGPT应助年轻的寻绿采纳,获得10
18秒前
18秒前
李健应助科研通管家采纳,获得10
18秒前
18秒前
18秒前
李健应助科研通管家采纳,获得10
18秒前
NexusExplorer应助科研通管家采纳,获得10
19秒前
Orange应助科研通管家采纳,获得10
19秒前
大个应助科研通管家采纳,获得10
19秒前
脑洞疼应助科研通管家采纳,获得10
19秒前
所所应助shanbaibai采纳,获得10
19秒前
19秒前
20秒前
负责戎完成签到,获得积分10
21秒前
领导范儿应助yiteng采纳,获得10
21秒前
呆萌邪欢发布了新的文献求助30
22秒前
高分求助中
(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
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
《The Emergency Nursing High-Yield Guide》 (或简称为 Emergency Nursing High-Yield Essentials) 500
The Dance of Butch/Femme: The Complementarity and Autonomy of Lesbian Gender Identity 500
Differentiation Between Social Groups: Studies in the Social Psychology of Intergroup Relations 350
Investigating the correlations between point load strength index, uniaxial compressive strength and Brazilian tensile strength of sandstones. A case study of QwaQwa sandstone deposit 300
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5885756
求助须知:如何正确求助?哪些是违规求助? 6619242
关于积分的说明 15703315
捐赠科研通 5006238
什么是DOI,文献DOI怎么找? 2696980
邀请新用户注册赠送积分活动 1640657
关于科研通互助平台的介绍 1595147