Polymer Chemistry Research group, Centre of Macromolecular Chemistry (CMaC), Department of Organic and Macromolecular Chemistry, Faculty of Sciences, Ghent University, Krijgslaan 281 S4-bis, 9000, Ghent, Belgium.
Angew Chem Int Ed Engl. 2022 Mar 21;61(13):e202116718. doi: 10.1002/anie.202116718. Epub 2022 Feb 11.
Rewriting data stored on synthetic macromolecules is an interesting feature, even though it is considered as being quite challenging within the area of digital macromolecules. In this context, we initially studied a strategy for modifying the position tag of sequence-encoded macromolecules in a reversible manner. The efficiency of this method, which relies on the orthogonal cleavage of a thioester moiety via aminolysis, was demonstrated by modifying parts of an exemplary sentence. Simultaneously, a novel algorithm was developed to ease the read-out of macromolecular information by means of MS/MS techniques. This program, Oligoreader, can identify potential information-containing macromolecules from a series of MS spectra, analyze the corresponding MS spectra, and finally decode the data. Consequently, the algorithm simplifies the entire read-out process by avoiding any interference from the operator, which increases the potential for blind sequencing of uniform macromolecules.
改写存储在合成大分子上的数据是一个很有趣的特性，尽管在数字大分子领域中，这被认为是相当具有挑战性的。在这种情况下，我们最初研究了一种策略，用于以可逆的方式修饰序列编码大分子的位置标签。这种方法的效率通过修饰一个示例句子的部分内容得到了证明。同时，开发了一种新的算法，通过 MS/MS 技术来简化大分子信息的读取。该程序 Oligoreader 可以从一系列 MS 图谱中识别潜在含有信息的大分子，分析相应的 MS 图谱，并最终解码数据。因此，该算法通过避免操作人员的任何干扰简化了整个读取过程，从而提高了均匀大分子的盲测序的可能性。
