Rewritable Macromolecular Data Storage with Automated Read-out

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 MS1 spectra, analyze the corresponding MS2 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.

Automated summary

This article presents a method for rewriting and reading data on synthetic macromolecules. By utilizing a reversible strategy to modify position tags and a novel algorithm, the information encoded in macromolecules can be efficiently modified and decoded. This method simplifies the read-out process, increasing the potential for blind sequencing of macromolecules.