Frölich Maximiliane, Hofheinz Dennis, Meier Michael A R
Laboratory of Applied Chemistry, Institute of Organic Chemistry (IOC), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131, Karlsruhe, Germany.
Department of Computer Science, ETH Zürich, Universitätsstrasse 6, 8092, Zürich, Switzerland.
Commun Chem. 2020 Dec 9;3(1):184. doi: 10.1038/s42004-020-00431-9.
In recent years, the field of molecular data storage has emerged from a niche to a vibrant research topic. Herein, we describe a simultaneous and automated read-out of data stored in mixtures of sequence-defined oligomers. Therefore, twelve different sequence-defined tetramers and three hexamers with different mass markers and side chains are successfully synthesised via iterative Passerini three-component reactions and subsequent deprotection steps. By programming a straightforward python script for ESI-MS/MS analysis, it is possible to automatically sequence and thus read-out the information stored in these oligomers within one second. Most importantly, we demonstrate that the use of mass-markers as starting compounds eases MS/MS data interpretation and furthermore allows the unambiguous reading of sequences of mixtures of sequence-defined oligomers. Thus, high data storage capacity considering the field of synthetic macromolecules (up to 64.5 bit in our examples) can be obtained without the need of synthesizing long sequences, but by mixing and simultaneously analysing shorter sequence-defined oligomers.
近年来，分子数据存储领域已从一个小众领域发展成为一个充满活力的研究课题。在此，我们描述了一种对存储在序列定义的低聚物混合物中的数据进行同步自动读出的方法。因此，通过迭代的Passerini三组分反应和随后的脱保护步骤，成功合成了十二种不同的带有不同质量标记和侧链的序列定义的四聚体以及三种六聚体。通过编写一个用于电喷雾串联质谱（ESI-MS/MS）分析的简单Python脚本，可以在一秒内自动对这些低聚物中存储的信息进行测序并读出。最重要的是，我们证明了使用质量标记作为起始化合物有助于质谱/质谱数据的解释，并且还能明确读出序列定义的低聚物混合物的序列。因此，考虑到合成大分子领域（在我们的示例中高达64.5比特），无需合成长序列，而是通过混合并同时分析较短的序列定义的低聚物，就可以获得高数据存储容量。
