Oligonucleotide subsets selection by single nucleotide resolution barcode identification

Woojin Kim, Mingweon Chon, Yoonhae Koh, Hansol Choi, Eunjin Choi, Hyewon Park, Yushin Jung, Taehoon Ryu, Sunghoon Kwon () and Yeongjae Choi ()
Additional contact information
Woojin Kim: Gwangju Institute of Science and Technology (GIST)
Mingweon Chon: Seoul National University
Yoonhae Koh: Gwangju Institute of Science and Technology (GIST)
Hansol Choi: Seoul National University
Eunjin Choi: Gwangju Institute of Science and Technology (GIST)
Hyewon Park: ATG Lifetech Inc.
Yushin Jung: ATG Lifetech Inc.
Taehoon Ryu: ATG Lifetech Inc.
Sunghoon Kwon: Seoul National University
Yeongjae Choi: Gwangju Institute of Science and Technology (GIST)

Nature Communications, 2025, vol. 16, issue 1, 1-9

Abstract: Abstract Effective subset selection from complex oligonucleotide libraries is crucial for genomics, synthetic biology, and DNA data storage. The polymerase chain reaction, foundational for amplifying target subsets is limited by primer design and length for specificity, which constrains the scalability of oligo libraries and increases the synthesis burden for primers. We introduce an oligo subset selection methodology that utilizes sequence-specific cyclic nucleotide synthesis and blocking of the template oligos. This approach eliminates the need for primers for selective hybridization and enables the encoding and selection of hundreds of subsets with barcode lengths of fewer than five nucleotides. Moreover, cyclic selection enables a hierarchical data structure in the oligo library, enhancing the programmability. This advancement offers a scalable and cost-effective solution for handling complex oligo libraries.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-56856-0 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56856-0

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-56856-0

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().