A computational framework for designing micron-scale crisscross DNA megastructures
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.
Authors
- Florian Katzmeier (ORCID: https://orcid.org/0009-0006-2547-3527)
- Matthew Aquilina (ORCID: https://orcid.org/0000-0002-4039-1398)
- Julie Finkel (ORCID: https://orcid.org/0009-0002-2535-4262)
- William M. Shih (ORCID: https://orcid.org/0000-0002-1395-9267)
- Su Hyun Seok (ORCID: https://orcid.org/0000-0001-5951-2930)
- Siyuan S. Wang (ORCID: https://orcid.org/0000-0001-8249-6553)
- J H Lee
- Seungwoo Lee (ORCID: https://orcid.org/0000-0002-6659-3457)
- Corey Becker
- Yichen Zhao
- Huangchen Cui
- Minke A. D. Nijenhuis
Institutions
- University of Stuttgart (DE)
- Harvard University (US)
- Korea University (KR)
- Harvard University Press (US)
- Max Planck Institute for Solid State Research (DE)
- Dana-Farber Cancer Institute (US)
- Dana-Farber/Harvard Cancer Center (US)
- Korea Institute of Science and Technology (KR)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1038/s41467-026-75175-6
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Alfred P. Sloan Foundation
- Office of Science