深度学习揭示了细胞如何在纤维环境中拉动,结和导航
Abinash Padhi1, Arka Daw2, Atharva Agashe1
1Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061.
概括
细胞力方向性,而不是刚性,控制纤维组织中的细胞收缩性. 新的深度学习方法揭示了细胞如何产生力量,并预测干细胞的命运,影响癌症和组织工程.
科学领域:
- 细胞力学 细胞力学
- 生物物理学的生物物理.
- 组织工程是组织工程.
背景情况:
- 细胞在纤维环境中与平面基板不同地导航.
- 纤维架构和纤维刚度在细胞力产生中的相互作用是不太了解的.
研究的目的:
- 研究如何在生理纤维环境中建立细胞力量.
- 了解纤维结构与度在调节细胞收缩性中的作用.
主要方法:
- 开发了支持深度学习的活细胞纤维力显微镜 (DLFM),以实时绘制细胞力图.
- 结合相位显微镜与深度学习用于力映射.
主要成果:
- 在纤维环境中,力方向性在调节细胞收缩性时取代了ECM刚性.
- 细胞收缩性在异构和同构应力场之间过渡时会下降,即使ECM较硬.
- 细胞在纤维矩阵中在整个身体中形成产生力的粘附,与平面基板上的外围粘附不同.
- 在迁移,分裂和分化过程中不同的细胞力签名可以预测干细胞的命运.
结论:
- 张力异构性是纤维环境中细胞行为的主调节者.
- DLFM为复杂的纤维组织中的细胞机制提供了新的见解.
- 这些发现对理解癌症入侵,组织工程和再生医学有重要意义.
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