Evidence map›Paper›PMID 40657197›Full record

ArticleSmall science2025

Microfluidic Production of Spatially Structured Biomimetic Microgels as Compartmentalized Artificial Cells.

Matthew E Allen, James W Hindley, Robert V Law, Oscar Ces, Yuval Elani

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Matthew E AllenDepartment of Chemistry Imperial College London Molecular Sciences Research Hub, 82 Wood Lane London W12 0BZ UK.ORCID https://orcid.org/0000-0002-4501-6327
James W HindleyDepartment of Chemistry Imperial College London Molecular Sciences Research Hub, 82 Wood Lane London W12 0BZ UK.
Robert V LawDepartment of Chemistry Imperial College London Molecular Sciences Research Hub, 82 Wood Lane London W12 0BZ UK.
Oscar CesDepartment of Chemistry Imperial College London Molecular Sciences Research Hub, 82 Wood Lane London W12 0BZ UK.
Yuval ElaniInstitute of Chemical Biology Imperial College London Molecular Sciences Research Hub, 82 Wood Lane London W12 0BZ UK.ORCID https://orcid.org/0000-0002-9603-2490

Funding

Wellcome Trust
6 · The paper itself

Abstract

Artificial cells serve as promising micro-robotic platforms that replicate cellular features. One ubiquitous characteristic of living cells is compartmentalization of content in distinct and well-defined locations. Herein, a microfluidic strategy to mimic compartmentalization is developed through the production of micron-scale two and three compartment biomimetic microgels, where hydrogel compartment number, composition, size, and shape can be controlled. Our lab-on-chip system enables the incorporation of various synthetic organelles into spatially separated compartments within the microgels. This design concept allows for the introduction of a variety of individually triggered bioinspired behaviors, including protein capture, enzyme-mediated content release, and stimuli-triggered motility, each isolated in a distinct compartment enabling the use of the microgels as compartmentalized artificial cells. With this approach, the division of content and function seen in biological cells can be mirrored, which will underpin the generation of increasingly sophisticated and functional soft matter microdevices using bottom-up synthetic biology principles.

Indexed as

artificial cellsbiomimicrycompartmentalizationhydrogelsmicrofluidics

Identifiers

PMID40657197
PMCPMC12245075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.