Evidence map›Paper›PMID 31011170›Full record

ArticleNature chemistry2019

Autonomous dynamic control of DNA nanostructure self-assembly.

Leopold N Green, Hari K K Subramanian, Vahid Mardanlou, Jongmin Kim, Rizal F Hariadi, Elisa Franco

Abstract readVideo-Audio Media
PubMed Publisher
In one paragraph

Article in Nature chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Enzymatic DNA Reaction Networks for Orchestrating Stimuli-Dependent Temporal Molecular Pulse.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Dynamic Decoration of DNA Scaffolds for High-Resolution Cancer Cell Subtyping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Dynamic Control of DNA Origami Self-Assembly by Transcriptional Modules.Journal of the American Chemical Society · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Dynamic Transcription Machineries in Protocells.Journal of the American Chemical Society · 2025
    Review
  15. Isothermal assembly of DNA nanostructures.Chemical communications (Cambridge, England) · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Leopold N GreenBioengineering, University of California, Riverside, CA, USA.
Hari K K SubramanianMechanical Engineering, University of California, Riverside, CA, USA.ORCID http://orcid.org/0000-0003-2956-9279
Vahid MardanlouElectrical and Computer Engineering, University of California, Riverside, CA, USA.
Jongmin KimWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Rizal F HariadiDepartment of Physics and the Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Elisa FrancoMechanical Engineering, University of California, Riverside, CA, USA. efranco@seas.ucla.edu.ORCID http://orcid.org/0000-0003-1103-2668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological cells routinely reconfigure their shape using dynamic signalling and regulatory networks that direct self-assembly processes in time and space, through molecular components that sense, process and transmit information from the environment. A similar strategy could be used to enable life-like behaviours in synthetic materials. Nucleic acid nanotechnology offers a promising route towards this goal through a variety of sensors, logic and dynamic components and self-assembling structures. Here, by harnessing both dynamic and structural DNA nanotechnology, we demonstrate dynamic control of the self-assembly of DNA nanotubes-a well-known class of programmable DNA nanostructures. Nanotube assembly and disassembly is controlled with minimal synthetic gene systems, including an autonomous molecular oscillator. We use a coarse-grained computational model to capture nanotube length distribution dynamics in response to inputs from nucleic acid circuits. We hope that these results may find use for the development of responsive nucleic acid materials, with potential applications in biomaterials science, nanofabrication and drug delivery.

Indexed as

Base SequenceDNAFluorescent DyesMicroscopy, FluorescenceModels, MolecularNanotechnologyNanotubesDNAFluorescent Dyes

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.