Evidence map›Paper›PMID 40911651›Full record

ReviewAnnals of the New York Academy of Sciences2025

Chromatin-associated condensates as an inspiration for the system architecture of future DNA computers.

Lennart Hilbert, Aaron Gadzekpo, Simon Lo Vecchio, Mona Wellhäusser, Xenia Tschurikow, Roshan Prizak, Barbara Becker, Sandra Burghart, Ewa Anna Oprzeska-Zingrebe

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Semi-Independent Control of Stability and Mobility in DNA Condensates.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Review
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

9 authors.

Lennart HilbertInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.ORCID 0000-0003-4478-5607
Aaron GadzekpoInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Simon Lo VecchioInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Mona WellhäusserInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Xenia TschurikowInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Roshan PrizakInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Barbara BeckerInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Sandra BurghartInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.
Ewa Anna Oprzeska-ZingrebeInstitute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.

Funding

Carl-Zeiss-StiftungDeutsche Forschungsgemeinschaft HI 2167/4-1Helmholtz-GemeinschaftKarlsruhe Institute of Technology Excellence Strategy Young Investigator Group Preparation Program
6 · The paper itself

Abstract

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.

Indexed as

ChromatinComputers, MolecularDNAAnimalsHumansChromatinDNA3D genome organizationarchitecture of the cell nucleusbiological phase separationDNA nanotechnologysynthetic biology

Identifiers

PMID40911651
PMCPMC12576880

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Registered trials

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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.