Chromatin‐associated condensates as an inspiration for the system architecture of future DNA computers
The genome stores and processes approximately 1.5 gigabytes of encoded information. In this article, we propose that the eukaryotic genome and its adaptable three-dimensional packing in the form of chromatin offer a valuable template for the system architecture of DNA-based digital computers. We examine embryonic and stem cells, which exhibit distinct chromatin-associated condensates enriched in transcription machinery. These dynamic biomolecular condensates facilitate the spatial association of genes, genomic control elements, and molecular machinery responsible for reading the genomic code. Drawing a compelling analogy to the von Neumann computer architecture-which integrates storage, processing, and memory in most electronic computers-we reflect on how the operational principles of these condensates could inspire the design of a similar architecture for future DNA computers. In particular, we describe how one could recreate such an architecture by exploiting the process of surface condensation, which underlies the formation of chromatin-associated condensates. We conclude by reviewing our initial steps of constructing synthetic DNA nanostructures that follow the same operational principles and enable programmable surface condensation. Finally, we outline how computational methods from accelerated materials design could further advance the development of DNA computer system architectures.
Authors
- Xenia Tschurikow (ORCID: https://orcid.org/0000-0002-2315-9474)
- Ewa Anna Oprzeska‐Zingrebe (ORCID: https://orcid.org/0000-0002-8700-2863)
- Roshan Prizak (ORCID: https://orcid.org/0000-0001-6957-2830)
- Simon Lo Vecchio
- Lennart Hilbert (ORCID: https://orcid.org/0000-0003-4478-5607)
- Bárbara Becker (ORCID: https://orcid.org/0000-0001-9869-954X)
- Aaron Gadzekpo (ORCID: https://orcid.org/0000-0002-7438-5367)
- Mona Wellhäusser
- Sandra Burghart
Institutions
- Karlsruhe Institute of Technology (DE)
- Kerntechnische Entsorgung Karlsruhe (Germany) (DE)
Publication Details
- Journal
- Annals of the New York Academy of Sciences
- Published
- 2025-09-05
- DOI
- https://doi.org/10.1111/nyas.15415
- Citations
- 3
- Primary Topic
- DNA and Biological Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Carl-Zeiss-Stiftung
- Helmholtz-Gemeinschaft
- Deutsche Forschungsgemeinschaft