使用通过大肠杆菌表达的非自然蛋白质进行数据存储和检索
Yin Zhou1,2,3,4,5, Cheuk Chi A Ng1,2,3,4,5, Chengxi Liu1,2,3,4,5
1Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.
Nature communications
|March 1, 2026
概括
这项研究证明了通过将数字信息编码为氨基酸序列的成功基于蛋白质的数据存储. 蛋白质提供稳定,高容量的数据存储和检索,超过了DNA的稳定性.
科学领域:
- 生物技术是生物技术.
- 合成生物学 合成生物学
- 蛋白质组学是指蛋白质组学.
背景情况:
- 蛋白质提供高容量,稳定的数据存储,但在不自然的蛋白质表达和检索序列方面面临挑战.
- 像DNA这样的现有数据存储方法在稳定性和容量方面面临限制.
研究的目的:
- 为基于蛋白质的数字数据存储和检索开发一个强大的框架.
- 为了证明编码,表达和从蛋白质中恢复数据的可行性.
- 将蛋白质数据存储稳定性和安全性与现有方法进行比较.
主要方法:
- 将数字数据编码为原蛋白样蛋白模板中的氨基酸序列.
- 使用大肠杆菌表达数据载体蛋白质.
- 通过三性消化对蛋白质进行测序,并进行LC-MS/MS分析以恢复数据.
- 使用亲和标签进行随机访问和加密数据保护.
主要成果:
- 在大肠杆菌中成功表达数据载体蛋白质.
- 使用LC-MS/MS分析从蛋白质混合物中完全恢复数据.
- 与DNA相比,证明了数据载体蛋白质的优越稳定性.
- 建立了对蛋白质数据的随机访问和加密保护.
结论:
- 基于蛋白质的数据存储是一种可行的,强大的技术.
- 这一框架可以实现高容量,稳定的数据存储,并增强安全性.
- 在数据存储,合成生物学和蛋白质组学方面开辟了新的途径.
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