Evidence map›Paper›PMID 31816934›Full record

ReviewGenes2019

The Fusion of Lipid and DNA Nanotechnology.

Es Darley, Jasleen Kaur Daljit Singh, Natalie A Surace, Shelley F J Wickham, Matthew A B Baker

Abstract readReview
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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  9. 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

5 authors.

Es DarleySchool of Biotechnology and Biomolecular Science, UNSW Sydney, KST 2052, Australia.
Jasleen Kaur Daljit SinghSchool of Chemistry, University of Sydney, Camperdown 2006, Australia.
Natalie A SuraceSchool of Chemistry, University of Sydney, Camperdown 2006, Australia.
Shelley F J WickhamSchool of Chemistry, University of Sydney, Camperdown 2006, Australia.
Matthew A B BakerSchool of Biotechnology and Biomolecular Science, UNSW Sydney, KST 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid membranes form the boundary of many biological compartments, including organelles and cells. Consisting of two leaflets of amphipathic molecules, the bilayer membrane forms an impermeable barrier to ions and small molecules. Controlled transport of molecules across lipid membranes is a fundamental biological process that is facilitated by a diverse range of membrane proteins, including ion-channels and pores. However, biological membranes and their associated proteins are challenging to experimentally characterize. These challenges have motivated recent advances in nanotechnology towards building and manipulating synthetic lipid systems. Liposomes-aqueous droplets enclosed by a bilayer membrane-can be synthesised in vitro and used as a synthetic model for the cell membrane. In DNA nanotechnology, DNA is used as programmable building material for self-assembling biocompatible nanostructures. DNA nanostructures can be functionalised with hydrophobic chemical modifications, which bind to or bridge lipid membranes. Here, we review approaches that combine techniques from lipid and DNA nanotechnology to engineer the topography, permeability, and surface interactions of membranes, and to direct the fusion and formation of liposomes. These approaches have been used to study the properties of membrane proteins, to build biosensors, and as a pathway towards assembling synthetic multicellular systems.

Indexed as

Biosensing TechniquesNanotechnologyDNAHydrophobic and Hydrophilic InteractionsLipid BilayersLiposomesMembrane ProteinsNanostructuresDNALipid BilayersLiposomesMembrane ProteinsDNA nanotechnologyDNA origamilipid nanotechnology

Identifiers

PMID31816934
PMCPMC6947036

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.