Evidence map›Paper›PMID 40657201›Full record

ArticleSmall science2025

Site-Specific Disulfide-Mediated Crosslinking of DNA Nanocubes for Enhanced Biological Applications.

Sinan Faiad, Quentin Laurent, Jathavan Asohan, Tyler Brown, Alexander Prinzen, Hanadi Farouk Sleiman

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Sinan FaiadDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.
Quentin LaurentDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.ORCID https://orcid.org/0000-0003-1023-1198
Jathavan AsohanDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.
Tyler BrownDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.
Alexander PrinzenDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.
Hanadi Farouk SleimanDepartment of Chemistry McGill University 801 Sherbrooke St West Montreal Québec H3A 0B8 Canada.ORCID https://orcid.org/0000-0002-5100-0532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of DNA nanotechnology has enabled the creation of diverse nanomaterials with significant potential in biological applications, such as sensing or drug delivery. From DNA origami to wireframe nanostructures, several strategies have been developed to deliver nucleic acid therapeutics into cells. However, these self-assembled structures suffer from poor stability in biological media due to low concentrations of divalent cations, degradation by nucleases, and thermal denaturation. Herein, a site-specific crosslinking method based on thiol-disulfide exchange to stabilize a wireframe DNA nanocube is developed. With nearly quantitative crosslinking yields, the structure retains its structural integrity in conditions that mimic physiological environments. This results in improved cellular uptake, likely due to more favorable interaction with cell-surface scavenger receptors, followed by endocytosis. This study paves the way for in vivo applications of DNA wireframe nanostructures by removing one of the major bottlenecks for their translation from in vitro to preclinical work.

Indexed as

cellular uptakecrosslinkingdisulfidesDNA nanocubesDNA nanotechnologydynamic covalent chemistryphysiological stability

Identifiers

PMID40657201
PMCPMC12244501

What OpenQuestion holds

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LicenceCC BY
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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.