Evidence map›Paper›PMID 35629851›Full record

ArticleMembranes2022

Optimization of Giant Unilamellar Vesicle Electroformation for Phosphatidylcholine/Sphingomyelin/Cholesterol Ternary Mixtures.

Zvonimir Boban, Ivan Mardešić, Witold Karol Subczynski, Dražan Jozić, Marija Raguz

Abstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. 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.

Zvonimir BobanDepartment of Medical Physics and Biophysics, University of Split School of Medicine, 21000 Split, Croatia.ORCID 0000-0003-1766-0120
Ivan MardešićDepartment of Medical Physics and Biophysics, University of Split School of Medicine, 21000 Split, Croatia.ORCID 0000-0001-6129-3255
Witold Karol SubczynskiDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Dražan JozićFaculty of Chemistry and Technology, University of Split, 21000 Split, Croatia.ORCID 0000-0002-5026-1343
Marija RaguzDepartment of Medical Physics and Biophysics, University of Split School of Medicine, 21000 Split, Croatia.ORCID 0000-0001-9070-5204

Funding

Croatian Science Foundation IP-2019-04-1958
6 · The paper itself

Abstract

Artificial vesicles are important tools in membrane research because they enable studying membrane properties in controlled conditions. Giant unilamellar vesicles (GUVs) are specially interesting due to their similarity in size to eukaryotic cells. We focus on optimization of GUV production from phosphatidylcholine/sphingomyelin/cholesterol mixtures using the electroformation method. This mixture has been extensively researched lately due to its relevance for the formation of lipid rafts. We measured the effect of voltage, frequency, lipid film thickness, and cholesterol (Chol) concentration on electroformation successfulness using spin-coating for reproducible lipid film deposition. Special attention is given to the effect of Chol concentrations above the phospholipid bilayer saturation threshold. Such high concentrations are of interest to groups studying the role of Chol in the fiber cell plasma membranes of the eye lens or development of atherosclerosis. Utilizing atomic force and fluorescence microscopy, we found the optimal lipid film thickness to be around 30 nm, and the best frequency-voltage combinations in the range of 2-6 V and 10-100 Hz. Increasing the Chol content, we observed a decrease in GUV yield and size. However, the effect was much less pronounced when the optimal lipid film thickness was used. The results underline the need for simultaneous optimization of both electrical parameters and thickness in order to produce high-quality GUVs for experimental research.

Indexed as

AFMcholesterolelectroformationfilm thicknessfrequencyGUVsphosphatidylcholinesphingomyelinvoltage

Identifiers

PMID35629851
PMCPMC9144572

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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.