Multidimensional third-generation sequencing of modified DNA bases allows interrogation of complex biological systems
Serena S. David,
Brendan A. Pacheco,
Kensei Kishimoto,
Sam Vantine,
Kai Hu,
Haibo Liu,
Diana L. Davis,
Hoang Tran,
Benjamin F. Sallis,
Levi Ali,
Cole M. Haynes,
Beth A. McCormick,
Lihua Julie Zhu and
William A. Flavahan ()
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Serena S. David: University of Massachusetts Chan Medical School
Brendan A. Pacheco: University of Massachusetts Chan Medical School
Kensei Kishimoto: University of Massachusetts Chan Medical School
Sam Vantine: University of Massachusetts Chan Medical School
Kai Hu: University of Massachusetts Chan Medical School
Haibo Liu: University of Massachusetts Chan Medical School
Diana L. Davis: University of Massachusetts Chan Medical School
Hoang Tran: University of Massachusetts Chan Medical School
Benjamin F. Sallis: University of Massachusetts Chan Medical School
Levi Ali: University of Massachusetts Chan Medical School
Cole M. Haynes: University of Massachusetts Chan Medical School
Beth A. McCormick: University of Massachusetts Chan Medical School
Lihua Julie Zhu: University of Massachusetts Chan Medical School
William A. Flavahan: University of Massachusetts Chan Medical School
Nature Communications, 2025, vol. 16, issue 1, 1-15
Abstract:
Abstract DNA exists biologically as a highly dynamic macromolecular complex subject to myriad chemical modifications that alter its physiological interpretation, yet most sequencing technologies only measure Watson-Crick base pairing interactions. Third-generation sequencing technologies can directly detect novel and modified bases, yet the difficulty and cost of training these techniques for each novel base has so far limited this potential. Here, we present a method based on barcoded split-pool synthesis to generate reference standard oligonucleotides allowing novel base sequencing. Using novel base detection, we perform multidimensional sequencing to retrieve information, both physiologically stored and experimentally encoded, from DNA, allowing us to characterize the preferential replication of deleterious mitochondrial genome mutations, the infection dynamics of a host-pathogen model, and the effect of chemotherapy on cancer cell DNA at the single molecule level. The low cost and experimental simplicity of this method make this approach widely accessible to the research community, enabling complex experimental interrogation across the biological sciences.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60896-x
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DOI: 10.1038/s41467-025-60896-x
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