{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Frolich M"],"funding":["Deutsche Forschungsgemeinschaft","Deutsche Forschungsgemeinschaft (German Research Foundation)"],"pagination":["184"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9814948"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["3(1)"],"pubmed_abstract":["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"],"journal":["Communications chemistry"],"pubmed_title":["Reading mixtures of uniform sequence-defined macromolecules to increase data storage capacity."],"pmcid":["PMC9814948"],"funding_grant_id":["SFB 1176 (project A3)"],"pubmed_authors":["Frolich M","Hofheinz D","Meier MAR"],"additional_accession":[]},"is_claimable":false,"name":"Reading mixtures of uniform sequence-defined macromolecules to increase data storage capacity.","description":"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","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Dec","modification":"2026-03-18T13:51:28.871Z","creation":"2025-05-29T14:36:55.062Z"},"accession":"S-EPMC9814948","cross_references":{"pubmed":["36703345"],"doi":["10.1038/s42004-020-00431-9"]}}