Designed biomaterials to mimic the mechanical properties of muscles

提丁 生物材料 人工肌肉 天然橡胶 弹性体 材料科学 纳米技术 生物物理学 自愈水凝胶 弹性(物理) 复合材料 计算机科学 心肌细胞 生物 肌节 人工智能 高分子化学 医学 内分泌学 执行机构
作者
Shanshan Lv,Daniel Dudek,Yi Cao,M. M. Balamurali,John M. Gosline,Hongbin Li
出处
期刊:Nature [Nature Portfolio]
卷期号:465 (7294): 69-73 被引量:543
标识
DOI:10.1038/nature09024
摘要

The passive elasticity of muscle is largely governed by the I-band part of the giant muscle protein titin, a complex molecular spring composed of a series of individually folded immunoglobulin-like domains as well as largely unstructured unique sequences. These mechanical elements have distinct mechanical properties, and when combined, they provide the desired passive elastic properties of muscle, which are a unique combination of strength, extensibility and resilience. Single-molecule atomic force microscopy (AFM) studies demonstrated that the macroscopic behaviour of titin in intact myofibrils can be reconstituted by combining the mechanical properties of these mechanical elements measured at the single-molecule level. Here we report artificial elastomeric proteins that mimic the molecular architecture of titin through the combination of well-characterized protein domains GB1 and resilin. We show that these artificial elastomeric proteins can be photochemically crosslinked and cast into solid biomaterials. These biomaterials behave as rubber-like materials showing high resilience at low strain and as shock-absorber-like materials at high strain by effectively dissipating energy. These properties are comparable to the passive elastic properties of muscles within the physiological range of sarcomere length and so these materials represent a new muscle-mimetic biomaterial. The mechanical properties of these biomaterials can be fine-tuned by adjusting the composition of the elastomeric proteins, providing the opportunity to develop biomaterials that are mimetic of different types of muscles. We anticipate that these biomaterials will find applications in tissue engineering as scaffold and matrix for artificial muscles.
最长约 10秒,即可获得该文献文件

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
1秒前
1秒前
1秒前
2秒前
2秒前
Hello应助机灵水卉采纳,获得10
3秒前
可靠寒云发布了新的文献求助10
3秒前
Fascinate发布了新的文献求助10
3秒前
4秒前
小郭完成签到,获得积分10
5秒前
kmlee完成签到,获得积分10
5秒前
wanci应助可爱煎蛋采纳,获得10
6秒前
wanci应助纯真的笑容采纳,获得10
7秒前
7秒前
moshang发布了新的文献求助10
7秒前
7秒前
8秒前
张欢馨应助Christyshan采纳,获得10
9秒前
9秒前
杜鑫鹏发布了新的文献求助10
10秒前
11秒前
11秒前
CHUAN发布了新的文献求助10
12秒前
12秒前
不懂代数发布了新的文献求助40
13秒前
13秒前
wsw111发布了新的文献求助10
14秒前
刘嘉欣完成签到 ,获得积分10
16秒前
大力小翠完成签到 ,获得积分10
16秒前
16秒前
linn完成签到,获得积分20
16秒前
abc发布了新的文献求助10
17秒前
难过千凝完成签到 ,获得积分10
17秒前
17秒前
18秒前
阿彪发布了新的文献求助10
19秒前
19秒前
20秒前
21秒前
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366215
求助须知:如何正确求助?哪些是违规求助? 8180121
关于积分的说明 17244782
捐赠科研通 5420994
什么是DOI,文献DOI怎么找? 2868279
邀请新用户注册赠送积分活动 1845424
关于科研通互助平台的介绍 1692912