表观遗传学
DNA
DNA甲基化
计算机科学
计算生物学
生物
遗传学
基因
基因表达
作者
Cheng Zhang,Ranfeng Wu,Fajia Sun,Yi‐Sheng Lin,Yuan Liang,Jiongjiong Teng,Na Liu,Qi Ouyang,Long Qian,Hao Yan
出处
期刊:Nature
[Springer Nature]
日期:2024-10-23
卷期号:634 (8035): 824-832
被引量:2
标识
DOI:10.1038/s41586-024-08040-5
摘要
DNA storage has shown potential to transcend current silicon-based data storage technologies in storage density, longevity and energy consumption1–3. However, writing large-scale data directly into DNA sequences by de novo synthesis remains uneconomical in time and cost4. We present an alternative, parallel strategy that enables the writing of arbitrary data on DNA using premade nucleic acids. Through self-assembly guided enzymatic methylation, epigenetic modifications, as information bits, can be introduced precisely onto universal DNA templates to enact molecular movable-type printing. By programming with a finite set of 700 DNA movable types and five templates, we achieved the synthesis-free writing of approximately 275,000 bits on an automated platform with 350 bits written per reaction. The data encoded in complex epigenetic patterns were retrieved high-throughput by nanopore sequencing, and algorithms were developed to finely resolve 240 modification patterns per sequencing reaction. With the epigenetic information bits framework, distributed and bespoke DNA storage was implemented by 60 volunteers lacking professional biolab experience. Our framework presents a new modality of DNA data storage that is parallel, programmable, stable and scalable. Such an unconventional modality opens up avenues towards practical data storage and dual-mode data functions in biomolecular systems. We present a DNA self-assembly based molecular data writing strategy to enable parallel movable-type printing for scalable DNA storage.
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