Evidence map›Paper›PMID 37175944›Full record

ArticleInternational journal of molecular sciences2023

Quantification of Giant Unilamellar Vesicle Fusion Products by High-Throughput Image Analysis.

Adriano Caliari, Martin M Hanczyc, Masayuki Imai, Jian Xu, Tetsuya Yomo

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Adriano CaliariLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.ORCID 0000-0002-6315-3405
Martin M HanczycLaboratory for Artificial Biology, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Polo Scientifico e Tecnologico Fabio Ferrari, Polo B, Via Sommarive 9, 38123 Povo, Italy.
Masayuki ImaiDepartment of Physics, Graduate School of Science, Tohoku University, 6-3 Aramaki, Aoba, Sendai 980-8578, Japan.
Jian XuLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.ORCID 0000-0003-1816-4129
Tetsuya YomoLaboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China.ORCID 0000-0003-3116-107X

Funding

European Horizon 2020 661 project ACDC (Artificial Cells with Distributed Cores) 824060National Key R&D Program of China, Synthetic Biology Research 2019YFA0904500
6 · The paper itself

Abstract

Artificial cells are based on dynamic compartmentalized systems. Thus, remodeling of membrane-bound systems, such as giant unilamellar vesicles, is finding applications beyond biological studies, to engineer cell-mimicking structures. Giant unilamellar vesicle fusion is rapidly becoming an essential experimental step as artificial cells gain prominence in synthetic biology. Several techniques have been developed to accomplish this step, with varying efficiency and selectivity. To date, characterization of vesicle fusion has relied on small samples of giant vesicles, examined either manually or by fluorometric assays on suspensions of small and large unilamellar vesicles. Automation of the detection and characterization of fusion products is now necessary for the screening and optimization of these fusion protocols. To this end, we implemented a fusion assay based on fluorophore colocalization on the membranes and in the lumen of vesicles. Fluorescence colocalization was evaluated within single compartments by image segmentation with minimal user input, allowing the application of the technique to high-throughput screenings. After detection, statistical information on vesicle fluorescence and morphological properties can be summarized and visualized, assessing lipid and content transfer for each object by the correlation coefficient of different fluorescence channels. Using this tool, we report and characterize the unexpected fusogenic activity of sodium chloride on phosphatidylcholine giant vesicles. Lipid transfer in most of the vesicles could be detected after 20 h of incubation, while content exchange only occurred with additional stimuli in around 8% of vesicles.

Indexed as

Fluorescent DyesUnilamellar LiposomesMembrane FusionPhosphatidylcholinesFluorescent DyesPhosphatidylcholinesUnilamellar Liposomesfluorescence image analysisgiant unilamellar vesicleshigh-throughputvesicle fusion

Identifiers

PMID37175944
PMCPMC10179211

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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.