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用于DNA信息存储的芯片级DNA大规模平行均匀扩增(MPHAC-DIS)。

Massively parallel homogeneous amplification of chip-scale DNA for DNA information storage (MPHAC-DIS).

作者信息

Weng Zhi, Li Jiangxue, Wu Yi, Xiu Xuehao, Wang Fei, Zuo Xiaolei, Song Ping, Fan Chunhai

机构信息

School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.

School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Nat Commun. 2025 Jan 14;16(1):667. doi: 10.1038/s41467-025-55986-9.

Abstract

Chip scale DNA synthesis offers a high-throughput and cost-effective method for large-scale DNA-based information storage. Nevertheless, unbiased information retrieval from low-copy-number sequences remains a barricade that largely arises from the indispensable DNA amplification. Here, we devise a simulation-guided quantitative primer-template hybridization strategy to realize massively parallel homogeneous amplification of chip-scale DNA for DNA information storage (MPHAC-DIS). Using a fixed-energy primer design, we demonstrate the unbiasedness of MPHAC for amplifying 100,000-plex sequences. Simulations reveal that MPHAC achieves a fold-80 value of 1.0 compared to 3.2 with conventional fixed-length primers, lowering costs by up to four orders of magnitude through reduced over-sequencing. The MPHAC-DIS system using 35,406 encoded oligonucleotide allows simultaneous access of multimedia files including text, images, and videos with high decoding accuracy at very low sequencing depths. Specifically, even a ~ 1 ×  sequencing depth, with the combination of machine learning, results in an acceptable decoding accuracy of ~80%. The programmable and predictable MPHAC-DIS method thus opens new door for DNA-based large-scale data storage with potential industrial applications.

摘要

芯片级DNA合成提供了一种用于大规模基于DNA的信息存储的高通量且具有成本效益的方法。然而,从低拷贝数序列中无偏地检索信息仍然是一个障碍,这在很大程度上源于不可或缺的DNA扩增。在这里,我们设计了一种模拟引导的定量引物-模板杂交策略,以实现用于DNA信息存储的芯片级DNA的大规模平行均匀扩增(MPHAC-DIS)。使用固定能量引物设计,我们证明了MPHAC在扩增100,000重序列时的无偏性。模拟结果表明,与传统的固定长度引物相比,MPHAC的80倍值为1.0,而传统引物为3.2,通过减少过度测序将成本降低了多达四个数量级。使用35,406个编码寡核苷酸的MPHAC-DIS系统能够在非常低的测序深度下以高解码精度同时访问包括文本、图像和视频在内的多媒体文件。具体而言,即使在约1×的测序深度下,结合机器学习也能实现约80%的可接受解码精度。因此,这种可编程且可预测的MPHAC-DIS方法为基于DNA的大规模数据存储打开了新的大门,具有潜在的工业应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aac/11733265/2feb1fb74b06/41467_2025_55986_Fig1_HTML.jpg

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