Evidence map›Paper›PMID 21258382›Full record

ReviewNature chemistry2011

Dynamic DNA nanotechnology using strand-displacement reactions.

David Yu Zhang, Georg Seelig

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 495 papers.

0numbers the graph read from it
0cells of the map it votes in
495citing 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

495 citing papers in PubMed.

  1. Article
  2. Article
  3. Fuel-Driven Catalytic Molecular Templating.Journal of the American Chemical Society · 2026
    Article
  4. Article
  5. Review
  6. A nanoscale Jitterbug transformer from DNA.Nature communications · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Programming DNA machines to move.Nature reviews. Chemistry · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Dynamic Control of DNA Origami Self-Assembly by Transcriptional Modules.Journal of the American Chemical Society · 2026
    Article

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

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

2 authors.

David Yu ZhangWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, Room 530, Boston, Massachussetts 02115, USA. David.Zhang@wyss.harvard.edu
Georg Seelig

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The specificity and predictability of Watson-Crick base pairing make DNA a powerful and versatile material for engineering at the nanoscale. This has enabled the construction of a diverse and rapidly growing set of DNA nanostructures and nanodevices through the programmed hybridization of complementary strands. Although it had initially focused on the self-assembly of static structures, DNA nanotechnology is now also becoming increasingly attractive for engineering systems with interesting dynamic properties. Various devices, including circuits, catalytic amplifiers, autonomous molecular motors and reconfigurable nanostructures, have recently been rationally designed to use DNA strand-displacement reactions, in which two strands with partial or full complementarity hybridize, displacing in the process one or more pre-hybridized strands. This mechanism allows for the kinetic control of reaction pathways. Here, we review DNA strand-displacement-based devices, and look at how this relatively simple mechanism can lead to a surprising diversity of dynamic behaviour.

Indexed as

Base PairingDNANanostructuresNanotechnologyNucleic Acid ConformationNucleic Acid HybridizationDNA

Identifiers

PMID21258382

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.