Evidence map›Paper›PMID 27576579›Full record

ArticleScientific reports2016

Giant Polymersome Protocells Dock with Virus Particle Mimics via Multivalent Glycan-Lectin Interactions.

Artur Kubilis, Ali Abdulkarim, Ahmed M Eissa, Neil R Cameron

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Engineering Polymersomes for Diagnostics and Therapy.Advanced healthcare materials · 2018
    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

4 authors at 1 institution in 1 country.

Artur KubilisDepartment of Chemistry, University of Durham, South Road, Durham, DH1 3LE, UK.
Ali AbdulkarimDepartment of Chemistry, University of Durham, South Road, Durham, DH1 3LE, UK.
Ahmed M EissaDepartment of Chemistry, University of Durham, South Road, Durham, DH1 3LE, UK.
Neil R CameronDepartment of Chemistry, University of Durham, South Road, Durham, DH1 3LE, UK.
Durham University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the low complexity of their components, several simple physical systems, including microspheres, coacervate droplets and phospholipid membrane structures (liposomes), have been suggested as protocell models. These, however, lack key cellular characteristics, such as the ability to replicate or to dock with extracellular species. Here, we report a simple method for the de novo creation of synthetic cell mimics in the form of giant polymeric vesicles (polymersomes), which are capable of behavior approaching that of living cells. These polymersomes form by self-assembly, under electroformation conditions, of amphiphilic, glycosylated block copolymers in aqueous solution. The glycosylated exterior of the resulting polymeric giant unilamellar vesicles (GUVs) allows their selective interaction with carbohydrate-binding receptor-functionalized particles, in a manner reminiscent of the cell-surface docking of virus particles. We believe that this is the first example of a simple protocell model displaying cell-like behavior through a native receptor-ligand interaction.

Indexed as

Artificial CellsBiopolymersCell MembraneLectinsLiposomesPhospholipidsPolysaccharidesUnilamellar LiposomesVirionBiopolymersLectinsLiposomesPhospholipidsPolysaccharidesUnilamellar Liposomes

Identifiers

PMID27576579
PMCPMC5006173
OpenAlexW2516928716

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.