Evidence map›Paper›PMID 42487348›Full record

ArticleSmall methods2026

DOM: Dual Optical Mapping Integrating Sequence-Specific Barcodes and A/T Density Profiles.

Jaeyoung Bae, Yunchul Kim, Joohee Choe, Jinhui Hong, Byoungsang Lee, Kaori Hashiya, Toshikazu Bando, Hiroshi Sugiyama, Seonghyun Lee, Jung Heon Lee and 1 more

Abstract read
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Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jaeyoung BaeDepartment of Chemistry, Sogang University, Seoul, South Korea.ORCID https://orcid.org/0009-0005-6380-3032
Yunchul KimSchool of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, South Korea.
Joohee ChoeDepartment of Chemistry, Sogang University, Seoul, South Korea.ORCID https://orcid.org/0009-0006-3802-0236
Jinhui HongDepartment of Chemistry, Sogang University, Seoul, South Korea.
Byoungsang LeeSchool of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, South Korea.
Kaori HashiyaInstitute For Integrated Cell-Material Science (iCeMS), Kyoto University, Kyoto, Japan.
Toshikazu BandoInstitute For Integrated Cell-Material Science (iCeMS), Kyoto University, Kyoto, Japan.
Hiroshi SugiyamaInstitute For Integrated Cell-Material Science (iCeMS), Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0001-8923-5946
Seonghyun LeeDepartment of MetaBioHealth, Sungkyunkwan University, Suwon, South Korea.ORCID https://orcid.org/0000-0003-1972-7106
Jung Heon LeeSchool of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, South Korea.ORCID https://orcid.org/0000-0003-4790-3525
Kyubong JoDepartment of Chemistry, Sogang University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-5551-8195

Funding

National Research Foundation of Korea RS-2024-00441954National Research Foundation of Korea RS-2025-00515166Samsung Research Funding Center SRFC-MA2101-07
6 · The paper itself

Abstract

Accurate single-molecule optical genome mapping remains challenging due to the limited information content of barcode-only or profile-only strategies. Here, we present Dual Optical Mapping (DOM), which integrates sequence-specific barcode markers with AT frequency-dependent intensity profiles on the same DNA molecules to enhance mapping accuracy. Conventional optical mapping approaches rely either on sequence-specific barcodes generated by restriction endonucleases, nicking enzymes, or methyltransferases, or on dense profile mapping using DNA-binding molecules. By combining these complementary sources of information within a unified dual-channel framework, DOM increases positional specificity and alignment confidence. As a model system, we applied DOM to the E. coli genome (4.6 Mbp), where the combined dual-channel scoring metric (cc_rg2) ranked 172 of 182 molecules (95%) at the correct genomic locus as the top match, while 179 of 182 molecules (98%) could be validated after quality-control review. We further extended DOM to the human genome through genome-wide cross-correlation scanning coupled with placement score ranking. This quantitative framework enables objective evaluation of alignment distinctiveness across the entire genome, demonstrating scalability to large and complex genomic contexts. These results establish DOM as a scalable dual-channel framework for high-accuracy single-molecule genome mapping across both bacterial and human genomes.

Indexed as

Chromosome MappingDNA Barcoding, TaxonomicEscherichia coliGenome, BacterialHumansAT‐specific fluorescent polyamidecross‐correlation alignmentdual‐channel analysisoptical genome mappingsingle‐molecule imaging

Identifiers

PMID42487348
PMCPMC13505701

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.