在基于同体的原细胞网络中进行超结构排序,以自我排序为基础
Wenjing Mu1,2, Liyan Jia1,2, Musen Zhou3
1Beijing National Laboratory for Molecular Sciences (BNLMS), Laboratory of Polymer Physics and Chemistry, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Nature chemistry
|November 6, 2023
概括
研究人员从协同生微滴中创建了自组装的原细胞网络. 这些人造细胞链表现出协调的行为和分子处理,为人工组织铺平了道路.
科学领域:
- 生物模拟化学是生物模拟化学.
- 超分子化学 超分子化学
- 生命起源研究研究生命的起源.
背景情况:
- 创建具有协调功能的人工多细胞系统是具有挑战性的.
- 了解自我组装原理对于自下而上构建复杂的生物结构至关重要.
研究的目的:
- 开发可自组装成有序的原细胞网络的交互协微滴.
- 研究这些网络对分子处理和集体行为的能力.
主要方法:
- 利用了一种具有不同组成的二进制聚合物微滴群.
- 观察到自发的自我排序成链状结构与交替的微域.
- 研究了宏分子自我排序,局部生物催化和滴滴之间的分子转移.
主要成果:
- 成功形成了链状的原细胞网络,其组成和结构域交替.
- 已经证明了局部化的酶/ рибо酶生物催化和滴间分子转移.
- 展示了地形重构和微提取中的应用,用于生物分子分类.
结论:
- 开发了一种方法,通过选择性同体滴滴相互作用,实现多组件原细胞网络的自我组装.
- 建立了一个创建人工组织和殖民地,有秩序的架构和集体功能的基础.
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