Evidence map›Paper›PMID 36285141›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2021

Self-Assembly of DNA Molecules: Towards DNA Nanorobots for Biomedical Applications.

Yong Hu

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors.Cyborg and bionic systems (Washington, D.C.) · 2025
    Review
  7. A Nanorobotics-Based Approach of Breast Cancer in the Nanotechnology Era.International journal of molecular sciences · 2024
    Review
  8. Ultrafast Miniature Robotic Swimmers with Upstream Motility.Cyborg and bionic systems (Washington, D.C.) · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Biohybrid Micro- and Nanorobots for Intelligent Drug Delivery.Cyborg and bionic systems (Washington, D.C.) · 2022
    Review
  13. Parallel Manipulation and Flexible Assembly of Micro-SpiralFrontiers in bioengineering and biotechnology · 2022
    Article
  14. Article
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

1 author.

Yong HuDepartment of Polymeric Materials, School of Materials Science and Engineering, Tongji University, Shanghai 201804, China.ORCID https://orcid.org/0000-0003-1425-6093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA nanotechnology takes DNA molecule out of its biological context to build nanostructures that have entered the realm of robots and thus added a dimension to cyborg and bionic systems. Spurred by spring-like properties of DNA molecule, the assembled nanorobots can be tuned to enable restricted, mechanical motion by deliberate design. DNA nanorobots can be programmed with a combination of several unique features, such as tissue penetration, site-targeting, stimuli responsiveness, and cargo-loading, which makes them ideal candidates as biomedical robots for precision medicine. Even though DNA nanorobots are capable of detecting target molecule and determining cell fate via a variety of DNA-based interactions both in vitro and in vivo, major obstacles remain on the path to real-world applications of DNA nanorobots. Control over nanorobot's stability, cargo loading and release, analyte binding, and dynamic switching both independently and simultaneously represents the most eminent challenge that biomedical DNA nanorobots currently face. Meanwhile, scaling up DNA nanorobots with low-cost under CMC and GMP standards represents other pertinent challenges regarding the clinical translation. Nevertheless, DNA nanorobots will undoubtedly be a powerful toolbox to improve human health once those remained challenges are addressed by using a scalable and cost-efficient method.

Identifiers

PMID36285141
PMCPMC9494698

What OpenQuestion holds

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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.