Evidence map›Paper›PMID 32887878›Full record

ArticleNature communications2020

Geometric pinning and antimixing in scaffolded lipid vesicles.

Melissa Rinaldin, Piermarco Fonda, Luca Giomi, Daniela J Kraft

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. 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
0.1field-weighted citation impact, top 58% 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

9 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Bacterial lipid biophysics and membrane organization.Current opinion in microbiology · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  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

4 authors at 1 institution in 3 countries.

Melissa RinaldinHuygens-Kamerlingh Onnes Lab, Universiteit Leiden, Leiden, 2300 RA, The Netherlands.ORCID http://orcid.org/0000-0002-8040-9468
Piermarco FondaInstituut-Lorentz, Universiteit Leiden, Leiden, 2300 RA, The Netherlands.ORCID http://orcid.org/0000-0002-7481-3739
Luca GiomiInstituut-Lorentz, Universiteit Leiden, Leiden, 2300 RA, The Netherlands. giomi@lorentz.leidenuniv.nl.
Daniela J KraftHuygens-Kamerlingh Onnes Lab, Universiteit Leiden, Leiden, 2300 RA, The Netherlands. kraft@physics.leidenuniv.nl.ORCID http://orcid.org/0000-0002-2221-6473
Leiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies on the phase behaviour of multicomponent lipid bilayers found an intricate interplay between membrane geometry and its composition, but a fundamental understanding of curvature-induced effects remains elusive. Thanks to a combination of experiments on lipid vesicles supported by colloidal scaffolds and theoretical work, we demonstrate that the local geometry and global chemical composition of the bilayer determine both the spatial arrangement and the amount of mixing of the lipids. In the mixed phase, a strong geometrical anisotropy can give rise to an antimixed state, where the lipids are mixed, but their relative concentration varies across the membrane. After phase separation, the bilayer organizes in multiple lipid domains, whose location is pinned in specific regions, depending on the substrate curvature and the bending rigidity of the lipid domains. Our results provide critical insights into the phase separation of cellular membranes and, more generally, two-dimensional fluids on curved substrates.

Indexed as

Membrane MicrodomainsCell MembraneLipid BilayersLiposomesLipid BilayersLiposomes

Identifiers

PMID32887878
PMCPMC7474073
OpenAlexW2798867891

What OpenQuestion holds

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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.