Back

In-Situ ssDNA Isolation from dsDNA Sources as a Streamlined Pathway to DNA Origami Assembly and Testing

Ruiz, E. O.; Neyra, K.; Lopez, D.; Chen, R.-W.; Paramasamy, D.; Bizjak, Q.; Halley, P. D.; Wei, Y.; Sotomayor, M.; Poirier, M. G.; Mathur, D.; Castro, C. E.; Pfeifer, W. G.

2026-03-23 bioengineering
10.64898/2026.03.19.709872 bioRxiv
Show abstract

Scaffolded DNA origami has become a valuable nanoscale tool for applications in biomedical and physical sciences. Critical to leveraging the modular and programmable properties of DNA origami nanodevices is access to the scaffold strand, a long single-stranded DNA (ssDNA) of precise length and sequence, which is folded into a compact shape via piecewise base-pairing with many staple strands, short ssDNA oligonucleotides. Current methods to produce and manipulate long ssDNA scaffolds can be costly, time-consuming, and cumbersome. In contrast, methods to produce and manipulate the sequence of double-stranded DNA (dsDNA) are efficient and scalable. Here, we present a method for the rapid isolation of target ssDNA sequences from a variety of dsDNA sources using oligonucleotides as blocking strands that bind continuously to the undesired strand, thereby releasing the target scaffold strand. We report successful ssDNA isolation from linear and supercoiled dsDNAs of various sequences and lengths, ranging from 769 to 15,101 nucleotides. In addition to isolating ssDNA, we demonstrated this approach enables folding of DNA origami directly from dsDNA templates using both blocking and staple strands in a single-pot thermally controlled reaction. Furthermore, we explore multi-scaffold and gene-encoding DNA origami structures, expanding the framework for application-based designs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=82 SRC="FIGDIR/small/709872v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1cc75dcorg.highwire.dtl.DTLVardef@4df8e2org.highwire.dtl.DTLVardef@10ed113org.highwire.dtl.DTLVardef@1c05bdd_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Small
70 papers in training set
Top 0.1%
13.8%
2
Advanced Functional Materials
41 papers in training set
Top 0.3%
9.7%
3
Advanced Materials
53 papers in training set
Top 0.3%
9.7%
4
Nano Letters
63 papers in training set
Top 0.2%
9.7%
5
Journal of the American Chemical Society
199 papers in training set
Top 0.8%
8.1%
50% of probability mass above
6
Angewandte Chemie International Edition
81 papers in training set
Top 0.7%
4.6%
7
Advanced Science
249 papers in training set
Top 4%
4.1%
8
Nature Nanotechnology
30 papers in training set
Top 0.3%
3.4%
9
ACS Nano
99 papers in training set
Top 1%
3.4%
10
Advanced Healthcare Materials
71 papers in training set
Top 0.8%
2.5%
11
Advanced Materials Technologies
27 papers in training set
Top 0.2%
2.5%
12
Cell Reports Physical Science
18 papers in training set
Top 0.1%
2.3%
13
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.5%
1.7%
14
Analytical Chemistry
205 papers in training set
Top 2%
1.6%
15
ACS Applied Bio Materials
21 papers in training set
Top 0.5%
1.3%
16
ACS Omega
90 papers in training set
Top 3%
1.2%
17
Advanced Materials Interfaces
10 papers in training set
Top 0.1%
1.2%
18
Nature Communications
4913 papers in training set
Top 57%
1.2%
19
Nucleic Acids Research
1128 papers in training set
Top 14%
1.1%
20
ACS Sensors
45 papers in training set
Top 1%
0.9%
21
ACS Synthetic Biology
256 papers in training set
Top 3%
0.9%
22
Bioactive Materials
18 papers in training set
Top 0.7%
0.8%
23
Biosensors and Bioelectronics
52 papers in training set
Top 1%
0.8%
24
Biotechnology and Bioengineering
49 papers in training set
Top 0.9%
0.8%
25
Biofabrication
32 papers in training set
Top 0.8%
0.7%
26
Langmuir
31 papers in training set
Top 0.6%
0.7%
27
Science Advances
1098 papers in training set
Top 32%
0.7%
28
Chemical Communications
24 papers in training set
Top 1%
0.6%