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大规模并行同质放大芯片规模的DNA用于DNA信息存储 (MPHAC-DIS)

Zhi Weng¹, Jiangxue Li¹, Yi Wu¹

¹School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.

Nature communications

|January 14, 2025

概括

我们开发了一种用于DNA数据存储的新DNA放大方法,使低复制序列的无偏取回成为可能. 这种对芯片规模DNA (MPHAC-DIS) 的大规模并行同质放大大大降低了成本,并改善了数据访问.

科学领域:

生物技术是生物技术.
信息存储信息存储
基因组学就是基因组学.

背景情况:

芯片规模的DNA合成是大规模的DNA数据存储的有希望的高吞吐量,具有成本效益的方法.
不偏地检索低拷贝数量的DNA序列是一个主要的挑战,主要是由于DNA放大限制.

研究的目的:

开发一种新的放大策略,用于从低复制序列中获得 DNA 数据的公正,高吞吐量检索.
通过使用DNA实现高效准确的多媒体数据存储和检索.

主要方法:

设计了一个以模拟为指导的定量化原料模板杂交策略,用于大规模并行同质放大芯片规模DNA (MPHAC-DIS).
利用固定能量的初始设计来证明10万个复数序列的无偏放大.
采用机器学习与数据解码的低序列深度结合使用.

主要成果:

MPHAC 实现了 80 倍的 1.0 值,显著优于常规原料 (3.2).
通过减少过度测序,证明了高达四个数量级的成本降低.
实现了多媒体文件 (文本,图像,视频) 的高解码精度,即使在~1×的测序深度,在机器学习中达到~80%.

结论:

该MPHAC-DIS方法提供了一个可编程和可预测的解决方案,用于在DNA数据存储中实现无偏向的DNA放大.
这种方法显著提高了基于DNA的大规模信息存储的成本效益和可访问性.
这项技术在DNA数据存储方面显示出工业应用的潜力.

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