Evidence map›Paper›PMID 42469232›Full record

ArticleNature communications2026

A computational framework for designing micron-scale crisscross DNA megastructures.

Matthew Aquilina, Florian Katzmeier, Minke A D Nijenhuis, Siyuan Stella Wang, Corey Becker, Yichen Zhao, Su Hyun Seok, Julie Finkel, Huangchen Cui, Jaewon Lee and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

12 authors.

Matthew Aquilina *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. matthew_aquilina@dfci.harvard.edu.ORCID http://orcid.org/0000-0002-4039-1398
Florian Katzmeier *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. florian_katzmeier@dfci.harvard.edu.ORCID http://orcid.org/0009-0006-2547-3527
Minke A D NijenhuisDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Siyuan Stella WangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8249-6553
Corey BeckerDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0000-0943-5113
Yichen ZhaoDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0009-0927-3543
Su Hyun SeokDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Julie FinkelDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0002-2535-4262
Huangchen CuiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jaewon LeeKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, Republic of Korea.
Seungwoo LeeWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6659-3457
William M ShihDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. william.shih@wyss.harvard.edu.ORCID http://orcid.org/0000-0002-1395-9267

Funding

Alfred P. Sloan Foundation G-2021-16495DOE | Office of Science (SC) DE-SC0024136
6 · The paper itself

Abstract

Crisscross polymerization enables the assembly of hundreds of unique DNA origami 'slats' into micron-sized structures with nanoscale precision. To design these megastructures, thousands of handle sequences from a fixed library must be assigned to individual slats to encode the desired binding architecture. This complexity presents two major challenges: handles must be selected to minimize parasitic interactions that compete with desired assembly, and the fabrication of hundreds of unique slats creates a substantial logistical burden. Here, we develop a unified framework that standardizes the design and fabrication of crisscross megastructures. We use an evolutionary algorithm to optimize handle assignment and minimize parasitic binding between slats. Together with an expanded handle library, the algorithm enables the assembly of large, multi-layered megastructures that otherwise would be produced at negligible yields. We have released this framework as #-CAD, an open-source graphical application that integrates these algorithms, streamlines laboratory workflows, and makes crisscross DNA origami more broadly accessible.

Indexed as

DNAAlgorithmsDNA NanostructuresNucleic Acid ConformationDNA

Identifiers

PMID42469232
PMCPMC13500642

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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.