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SEM mapping of sequence-specific protein–DNA interactions on long DNA molecules

delete2026-07-09
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OA
AI
C
Chanyoung Noh
S
Sangwon Lee
Y
Yoonjung Kang
T
Taebin Yun
Y
Yoojin Kim
G
Gyuri Park
P
Priyannth R Sundharbaabu
S
Sang-Hee Shim
K
Kwang-il Lim
J
Jung Heon Lee *
DOI:10.1093/nar/gkag687delete
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Abstract

Abstract

En 中文
Direct visualization of protein-binding positions along individual DNA molecules provides direct readouts of binding location, occupancy, and heterogeneity beyond the reach of ensemble assays. However, existing single-molecule imaging methods face a persistent trade-off between spatial resolution, field of view, and throughput. Here, we establish an scanning electron microscopy (SEM)-based approach that combines contrast enhancement with sequence-defined labeling to image extended DNA molecules and resolve protein-bound regions along their contour. We validate this capability across distinct binding regimes, including sequence-defined streptavidin–fluorescent protein labels on biotinylated λ DNA, mapping of densely bound dCas9 regions on plasmid DNA, and machine-learning–assisted detection of localized dCas9 binding on human genomic DNA (F1 = 0.97). SEM achieves mean positional offsets of 410 ± 325 bp for nick-translated labels and 116 ± 63 bp for dCas9-bound regions, ~3-fold improved over fluorescence imaging, while supporting large-area surveys of extended DNA molecules across multi-scale magnifications—a capability not accessible by transmission electron microscopy or atomic force microscopy. These results establish SEM as a scalable platform for simultaneous structural visualization and quantitative mapping of sequence-specific DNA–protein interactions along individual DNA molecules.

Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization

K
korea university
Scholars:
3.7K
Papers: 1.7K
Citations: 1
S
Sogang University
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Papers: 4.4K
Citations: 4.0K
S
sookmyung women's university
Scholars:
227
Papers: 130
Citations: 0
S
sungkyunkwan university
Scholars:
3.4K
Papers: 1.3K
Citations: 0
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