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研究工程化骨骼肌生物机器的预期寿命和蛋白水解降解。

Investigating the Life Expectancy and Proteolytic Degradation of Engineered Skeletal Muscle Biological Machines.

机构信息

Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA.

Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA.

出版信息

Sci Rep. 2017 Jun 19;7(1):3775. doi: 10.1038/s41598-017-03723-8.

Abstract

A combination of techniques from 3D printing, tissue engineering and biomaterials has yielded a new class of engineered biological robots that could be reliably controlled via applied signals. These machines are powered by a muscle strip composed of differentiated skeletal myofibers in a matrix of natural proteins, including fibrin, that provide physical support and cues to the cells as an engineered basement membrane. However, maintaining consistent results becomes challenging when sustaining a living system in vitro. Skeletal muscle must be preserved in a differentiated state and the system is subject to degradation by proteolytic enzymes that can break down its mechanical integrity. Here we examine the life expectancy, breakdown, and device failure of engineered skeletal muscle bio-bots as a result of degradation by three classes of proteases: plasmin, cathepsin L, and matrix metalloproteinases (MMP-2 and MMP-9). We also demonstrate the use of gelatin zymography to determine the effects of differentiation and inhibitor concentration on protease expression. With this knowledge, we are poised to design the next generation of complex biological machines with controllable function, specific life expectancy and greater consistency. These results could also prove useful for the study of disease-specific models, treatments of myopathies, and other tissue engineering applications.

摘要

3D 打印、组织工程和生物材料技术的结合产生了一类新的工程生物机器人,它们可以通过施加的信号进行可靠地控制。这些机器由包含纤维蛋白等天然蛋白质的基质中的分化骨骼肌纤维组成的肌肉带驱动,为细胞提供物理支撑和作为工程化基底膜的线索。然而,当在体外维持生命系统时,保持一致的结果变得具有挑战性。骨骼肌必须保持在分化状态,并且该系统易受蛋白酶的降解,蛋白酶会破坏其机械完整性。在这里,我们研究了工程化骨骼肌生物机器人由于三种蛋白酶(纤溶酶、组织蛋白酶 L 和基质金属蛋白酶 (MMP-2 和 MMP-9))的降解而导致的预期寿命、崩溃和设备故障。我们还展示了使用明胶酶谱法来确定分化和抑制剂浓度对蛋白酶表达的影响。有了这些知识,我们就可以设计出具有可控功能、特定预期寿命和更高一致性的下一代复杂生物机器。这些结果对于疾病特异性模型的研究、肌病的治疗和其他组织工程应用也可能证明是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53b8/5476614/534c3401a130/41598_2017_3723_Fig1_HTML.jpg

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