Evidence map›Paper›PMID 28703789›Full record

ArticleNature protocols2017

Capturing suboptical dynamic structures in lipid bilayer patches formed from free-standing giant unilamellar vesicles.

Tripta Bhatia, Flemming Cornelius, John H Ipsen

Abstract read
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In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Micromechanics of Biomembranes.The Journal of membrane biology · 2022
    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

3 authors at 2 institutions in 2 countries.

Tripta BhatiaMEMPHYS Center for Biomembrane Physics and Department of Physics, Chemistry, and Pharmacy, University of Southern Denmark, Odense, Denmark.
Flemming CorneliusDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
John H IpsenMEMPHYS Center for Biomembrane Physics and Department of Physics, Chemistry, and Pharmacy, University of Southern Denmark, Odense, Denmark.
University of Southern Denmark · DKAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is accumulating evidence that the small-scale lateral organization of biological membranes has a crucial role in signaling and trafficking in cells. However, it has been difficult to characterize these features with existing methods for preparing and analyzing freestanding membranes, because the dynamics occurs below the optical resolution possible with these protocols. We have developed a protocol that permits the imaging of lipid nanodomains and lateral protein organization in membranes of giant unilamellar vesicles (GUVs). Freestanding GUVs are transferred onto a mica support, and after treatment with magnesium chloride, they collapse to form planar lipid bilayer (PLB) patches. Rapid GUV collapse onto the mica preserves the lateral organization of freestanding membranes and thus makes it possible to image 'snapshots' of GUVs up to nanometer resolution by high-resolution microscopy. The method has been applied to classical lipid raft mixtures in which suboptical domain fluctuations have been imaged in both the liquid-ordered and liquid-disordered membrane phases. High-resolution scanning by atomic force microscopy (AFM) of membranes composed of binary and ternary lipid mixtures reconstituted with Na

Indexed as

Biophysical PhenomenaLipid BilayersMicroscopyUnilamellar LiposomesLipid BilayersUnilamellar Liposomes

Identifiers

PMID28703789
OpenAlexW2734333436

What OpenQuestion holds

Textmetadata
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.