重写
计算机科学
代码本
质粒
DNA
计算生物学
生物
算法
遗传学
程序设计语言
作者
Yangyi Liu,Yubin Ren,Jinɡjinɡ Li,Fan Wang,Fei Wang,Chao Ma,Dong Chen,Xingyu Jiang,Chunhai Fan,Hongjie Zhang,Kai Liu
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2022-08-05
卷期号:8 (31)
被引量:24
标识
DOI:10.1126/sciadv.abo7415
摘要
DNA has attracted increasing interest as an appealing medium for information storage. However, target-specific rewriting of the digital data stored in intracellular DNA remains a grand challenge because the highly repetitive nature and uneven guanine-cytosine content render the encoded DNA sequences poorly compatible with endogenous ones. In this study, a dual-plasmid system based on gene editing tools was introduced into Escherichia coli to process information accurately. Digital data containing large repeat units in binary codes, such as text, codebook, or image, were involved in the realization of target-specific rewriting in vivo, yielding up to 94% rewriting reliability. An optical reporter was introduced as an advanced tool for presenting data processing at the molecular level. Rewritten information was stored stably and amplified over hundreds of generations. Our work demonstrates a digital-to-biological information processing approach for highly efficient data storage, amplification, and rewriting, thus robustly promoting the application of DNA-based information technology.
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