Evidence map›Paper›PMID 42307109›Full record

ArticleACS applied materials & interfaces2026

Tunable Lipid Coatings Enable Cytoplasmic siRNA Delivery by DNA Origami.

Pauline B M Hendrickx, Anne des Rieux, Maartje M C Bastings

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Pauline B M HendrickxAdvanced Drug Delivery and Biomaterials, Louvain Drug Research Institute, UCLouvain, Brussels 1200, Belgium.
Anne des RieuxAdvanced Drug Delivery and Biomaterials, Louvain Drug Research Institute, UCLouvain, Brussels 1200, Belgium.ORCID 0000-0001-9953-3816
Maartje M C BastingsProgrammable Biomaterials Laboratory, Institute of Materials, Interfaculty Bioengineering Institute, School of Engineering, Ecole Polytechnique Fédérale Lausanne, Lausanne 1015, Switzerland.ORCID 0000-0002-7603-4018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA origami nanostructures (DONs) offer precise architectural control for small RNA delivery, but their performance is limited by their susceptibility to nuclease degradation, weak cellular uptake, and inefficient endosomal escape. Here, we introduce an electrostatic lipid-coating strategy that introduces membrane-like properties to DONs while maintaining their structural integrity. By coincubating folded DONs with liposomes composed of a defined mixture of zwitterionic and cationic lipids, we identify a formulation window that yields colloidally stable, monodisperse lipid-coated DONs (LCDs). Systematic variation of the zwitterionic-to-cationic lipid ratio revealed that the fraction of cationic lipids strongly regulates the rate and extent of cellular uptake, with the 50 mol % cationic lipid content emerging as the most effective formulation. LCDs exhibited faster and more extensive cellular internalization and reduced early endosomal retention compared with PEG-coated DONs. The 50 mol % cationic formulation enabled efficient siRNA silencing comparable to benchmark lipid nanoparticles, underscoring the importance of rapid uptake and early endosomal escape for functional delivery while maintaining high cell viability. These findings establish an approach for integrating lipid functionalities onto DONs to improve cytoplasmic delivery while preserving full design flexibility.

Indexed as

CytoplasmDNADNA NanostructuresLipidsRNA, Small InterferingEndosomesHeLa CellsHumansLiposomesDNALipidsLiposomesRNA, Small Interferingcytoplasmic deliveryDNA origamiendosomal escapeinterfering RNAlipid composition

Identifiers

PMID42307109
PMCPMC13339022

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Registered trials

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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.