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Efficient molecular encoding in multifunctional self-immolative urethanes

Samuel D. Dahlhauser, Sarah R. Moor, Marissa S. Vera, Jordan T. York, Phuoc H. T. Ngo, Alexander J. Boley, Jaime N. Coronado, Zack B. Simpson, Eric V. Anslyn

2021Cell Reports Physical Science35 citationsDOIOpen Access PDF

Abstract

Molecular encoding in sequence-defined polymers shows promise as a new paradigm for data storage. Here, we report what is, to our knowledge, the first use of self-immolative oligourethanes for storing and reading encoded information. As a proof of principle, we describe how a text passage from Jane Austen’s Mansfield Park was encoded in sequence-defined oligourethanes and reconstructed via self-immolative sequencing. We develop Mol.E-coder, a software tool that uses a Huffman encoding scheme to convert the character table to hexadecimal. The oligourethanes are then generated by a high-throughput parallel synthesis. Sequencing of the oligourethanes by self-immolation is done concurrently in a parallel fashion, and the liquid chromatography-mass spectrometry (LC-MS) information decoded by our Mol.E-decoder software. The passage is capable of being reproduced wholly intact by a third-party, without any purifications or the use of tandem MS (MS/MS), despite multiple rounds of compression, encoding, and synthesis.

Topics & Concepts

Huffman codingEncoding (memory)SoftwareComputer scienceSequence (biology)Table (database)ChemistryParallel computingCombinatorial chemistryData compressionAlgorithmArtificial intelligenceData miningBiochemistryProgramming languageChemical Synthesis and AnalysisDNA and Biological ComputingMass Spectrometry Techniques and Applications
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