Evidence map›Paper›PMID 31529570›Full record

ArticleChembiochem : a European journal of chemical biology2019

Optimization of the Inverted Emulsion Method for High-Yield Production of Biomimetic Giant Unilamellar Vesicles.

Akanksha Moga, Naresh Yandrapalli, Rumiana Dimova, Tom Robinson

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Review
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  13. Liposome-EncapsulatedACS synthetic biology · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Curvature-Assisted Vesicle Explosion Under Light-Induced Asymmetric Oxidation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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.

Akanksha MogaTheory & Bio-Systems Department, Max Planck Institute of Colloids and Interfaces, Potsdam-Golm Science Park, 14424, Potsdam, Germany.
Naresh YandrapalliTheory & Bio-Systems Department, Max Planck Institute of Colloids and Interfaces, Potsdam-Golm Science Park, 14424, Potsdam, Germany.ORCID 0000-0002-1516-6674
Rumiana DimovaTheory & Bio-Systems Department, Max Planck Institute of Colloids and Interfaces, Potsdam-Golm Science Park, 14424, Potsdam, Germany.ORCID 0000-0002-3872-8502
Tom RobinsonTheory & Bio-Systems Department, Max Planck Institute of Colloids and Interfaces, Potsdam-Golm Science Park, 14424, Potsdam, Germany.ORCID 0000-0001-5236-7179

Funding

Max-Planck-Gesellschaft MaxSynBio
6 · The paper itself

Abstract

In the field of bottom-up synthetic biology, lipid vesicles provide an important role in the construction of artificial cells. Giant unilamellar vesicles (GUVs), due to their membrane's similarity to natural biomembranes, have been widely used as cellular mimics. So far, several methods exist for the production of GUVs with the possibility to encapsulate biological macromolecules. The inverted emulsion-based method is one such technique, which has great potential for rapid production of GUVs with high encapsulation efficiencies for large biomolecules. However, the lack of understanding of various parameters that affect production yields has resulted in sparse adaptation within the membrane and bottom-up synthetic biology research communities. Here, we optimize various parameters of the inverted emulsion-based method to maximize the production of GUVs. We demonstrate that the density difference between the emulsion droplets, oil phase, and the outer aqueous phase plays a crucial role in vesicle formation. We also investigated the impact that centrifugation speed/time, lipid concentration, pH, temperature, and emulsion droplet volume has on vesicle yield and size. Compared to conventional electroformation, our preparation method was not found to significantly alter the membrane mechanical properties. Finally, we optimize the parameters to minimize the time from workbench to microscope and in this way open up the possibility of time-sensitive experiments. In conclusion, our findings will promote the usage of the inverted emulsion method for basic membrane biophysics studies as well as the development of GUVs for use as future artificial cells.

Indexed as

BiomimeticsEmulsionsPhospholipidsSynthetic BiologyUnilamellar LiposomesWaterEmulsionsPhospholipidsUnilamellar LiposomesWaterbiomimeticbottom-up synthetic biologygiant unilamellar vesiclesinverted emulsionphase transferphysiological buffers

Identifiers

PMID31529570
PMCPMC6856842

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Registered trials

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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.