Evidence map›Paper›PMID 41812665›Full record

ArticleCell reports methods2026

A robust method for on-chip production and manipulation of lipid vesicles by inverted emulsion.

Naresh Yandrapalli, David T Gonzales, Weihua Leng, Cynthia Alsayyah, Nurzhan Abdukarimov, Robert Ernst, T-Y Dora Tang

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Naresh YandrapalliMax Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany; Department of Synthetic Biology, Gebaude B2.2, University of Saarland, 66123 Saarbrücken, Germany. Electronic address: naresh.yandrapalli@uni-saarland.de.
David T GonzalesMax Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany.
Weihua LengMax Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany.
Cynthia AlsayyahCenter for Molecular Signaling, Medical Biochemistry & Molecular Biology Department, University of Saarland, 66421 Homburg, Germany.
Nurzhan AbdukarimovINM-Leibniz Institute for New Materials, 66123 Saarbrucken, Germany.
Robert ErnstCenter for Molecular Signaling, Medical Biochemistry & Molecular Biology Department, University of Saarland, 66421 Homburg, Germany.
T-Y Dora TangMax Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany; Department of Synthetic Biology, Gebaude B2.2, University of Saarland, 66123 Saarbrücken, Germany. Electronic address: dora.tang@uni-saarland.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid vesicles are important as minimal model systems for cellular compartmentalization. They drive major advances in deciphering biological mechanisms by molecular reconstitution; provide rational solutions for primitive compartmentalization in origin-of-life studies; form the basis of synthetic cells and drug delivery vehicles. The emulsion method is a well-established route for producing bilayer lipid vesicles. However, the application of this method in microfluidics requires complex and specialized machinery. The bulk method suffers from the need to physically manipulate the vesicles through oil layers for characterization that can damage the vesicles. Given this, we present a facile and robust method for on-chip production and manipulation of lipid vesicles by the emulsion method. We prepared a simple device that allows preparation, imaging, and collection of activated lipid vesicles. This technique combines minimal processing steps with maximum flexibility in lipid vesicle production and manipulation with direct imaging, thus fast-tracking production lines across disciplines.

Indexed as

Lab-On-A-Chip DevicesLipid BilayersLipidsLiposomesEmulsionsEmulsionsLipid BilayersLipidsLiposomesbottom-up synthetic biologycell-free expressionCFESCP: biotechnologyGUVsinverted emulsion methodliposomesmembrane proteinon-chipprotein-lipid bindingsynthetic cells

Identifiers

PMID41812665
PMCPMC13030974

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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.