Evidence map›Paper›PMID 36977193›Full record

ArticleACS synthetic biology2023

Measuring Encapsulation Efficiency in Cell-Mimicking Giant Unilamellar Vesicles.

Pashiini Supramaniam, Zibo Wang, Stelios Chatzimichail, Christopher Parperis, Aditi Kumar, Vanessa Ho, Oscar Ces, Ali Salehi-Reyhani

Abstract read
In one paragraph

Article in ACS synthetic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Pashiini SupramaniamDepartment of Chemistry, Imperial College London, London W12 0BZ, U.K.
Zibo WangDepartment of Surgery & Cancer, Imperial College London, London W12 0HS, U.K.
Stelios ChatzimichailDepartment of Surgery & Cancer, Imperial College London, London W12 0HS, U.K.
Christopher ParperisDepartment of Chemistry, Imperial College London, London W12 0BZ, U.K.
Aditi KumarDepartment of Chemistry, Imperial College London, London W12 0BZ, U.K.
Vanessa HoDepartment of Chemistry, Imperial College London, London W12 0BZ, U.K.
Oscar CesDepartment of Chemistry, Imperial College London, London W12 0BZ, U.K.
Ali Salehi-ReyhaniDepartment of Surgery & Cancer, Imperial College London, London W12 0HS, U.K.ORCID 0000-0002-1084-2012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main drivers within the field of bottom-up synthetic biology is to develop artificial chemical machines, perhaps even living systems, that have programmable functionality. Numerous toolkits exist to generate giant unilamellar vesicle-based artificial cells. However, methods able to quantitatively measure their molecular constituents upon formation is an underdeveloped area. We report an artificial cell quality control (AC/QC) protocol using a microfluidic-based single-molecule approach, enabling the absolute quantification of encapsulated biomolecules. While the measured average encapsulation efficiency was 11.4 ± 6.8%, the AC/QC method allowed us to determine encapsulation efficiencies

Indexed as

Artificial CellsUnilamellar LiposomesEmulsionsMicrofluidicsSynthetic BiologyEmulsionsUnilamellar Liposomes

Identifiers

PMID36977193
PMCPMC10127275

What OpenQuestion holds

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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.