Evidence map›Paper›PMID 38423534›Full record

ArticleACS synthetic biology2024

An Efficient Method for the Production of High-Purity Bioinspired Large Unilamellar Vesicles.

Meline Macher, Amelie Obermeier, Sebastian Fabritz, Massimo Kube, Hannah Kempf, Hendrik Dietz, Ilia Platzman, Joachim P Spatz

Abstract read
In one paragraph

Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Spatially Encoded Protocell Network for Non-Cascaded Parallel Biocomputation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
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  5. 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

8 authors.

Meline MacherMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.
Amelie ObermeierMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.
Sebastian FabritzMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.
Massimo KubeTechnical University of Munich, Am Coulombwall 4a, Garching 85748, Germany.
Hannah KempfMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.
Hendrik DietzMax Planck School Matter to Life, Jahnstraße 29, Heidelberg 69121, Germany.ORCID 0000-0003-1270-3662
Ilia PlatzmanMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.
Joachim P SpatzMax Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69121, Germany.ORCID 0000-0003-3419-9807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to recapitulate complex eukaryotic compartmentalization, synthetic biology aims to recreate cellular membrane-lined compartments from the bottom-up. Many important cellular organelles and cell-produced extracellular vesicles are in the size range of several hundreds of nanometers. Although attaining a fundamental characterization and mimicry of their cellular functions is a compelling goal, the lack of methods for controlled vesicle formation in this size range has hindered full understanding. Here, we show the optimization of a simple and efficient protocol for the production of large unilamellar vesicles (LUVs) with a median diameter in the range of 450-550 nm with high purity. Importantly, we rely on commercial reagents and common laboratory equipment. We thoroughly characterize the influence of different experimental parameters on the concentration and size of the resulting vesicles and assess changes in their lipid composition and surface charge. We provide guidance for researchers to optimize LUV production further to suit specific applications.

Indexed as

LiposomesUnilamellar LiposomesLiposomesUnilamellar Liposomesbottom-up synthetic biologycellular organellesextracellular vesicleslarge unilamellar vesicles (LUVs)lipid vesiclesliposomes

Identifiers

PMID38423534
PMCPMC10949243

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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.