Evidence map›Paper›PMID 30217991›Full record

ArticleNature communications2018

Modular DNA strand-displacement controllers for directing material expansion.

Joshua Fern, Rebecca Schulman

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. DNA-directed assembly of multivalent lipid nanoparticles for targeted T cell gene delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Dynamic control of DNA condensation.Nature communications · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Programmable Mechanically Active Hydrogel-Based Materials.Advanced materials (Deerfield Beach, Fla.) · 2021
    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

2 authors.

Joshua FernChemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID http://orcid.org/0000-0002-5028-2793
Rebecca SchulmanChemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.ORCID http://orcid.org/0000-0003-4555-3162

Funding

U.S. Department of Energy (DOE) DE-SC0015906
6 · The paper itself

Abstract

Soft materials that swell or change shape in response to external stimuli show extensive promise in regenerative medicine, targeted therapeutics, and soft robotics. Generally, a stimulus for shape change must interact directly with the material, limiting the types of stimuli that may be used and necessitating high stimulus concentrations. Here, we show how DNA strand-displacement controllers within hydrogels can mediate size change by interpreting, amplifying, and integrating stimuli and releasing signals that direct the response. These controllers tune the time scale and degree of DNA-crosslinked hydrogel swelling and can actuate dramatic material size change in response to <100 nM of a specific biomolecular input. Controllers can also direct swelling in response to small molecules or perform logic. The integration of these stimuli-responsive materials with biomolecular circuits is a major step towards autonomous soft robotic systems in which sensing and actuation are implemented by biomolecular reaction networks.

Indexed as

DNAHydrogelsPolymersRegenerative MedicineRoboticsTissue EngineeringDNAHydrogelsPolymers

Identifiers

PMID30217991
PMCPMC6138645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.