Evidence mapPaperPMID 42415666Full record

ReviewChembiochem : a European journal of chemical biology2026

Membrane-Associated Biomolecules for Synthetic Cell Signalling.

Chelsea Dack, Bingkun Li, Charlie Newell, Michael J Booth

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2026. 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. Membrane-Associated Biomolecules for Synthetic Cell Signalling.Chembiochem : a European journal of chemical biology · 2026
    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

4 authors.

Chelsea DackDepartment of Chemistry, University College London, London, UK.
Bingkun LiDepartment of Chemistry, University College London, London, UK.
Charlie NewellDepartment of Chemistry, University College London, London, UK.
Michael J BoothDepartment of Chemistry, University College London, London, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/T008709/1, BB/W011468/1Engineering and Physical Sciences Research Council EP/S022856/1, EP/Y032675/1Royal Society URF\R\231007
6 · The paper itself

Abstract

Membrane-associated biomolecules, primarily proteins, are key enablers of communication, responsiveness, and complexity in natural living cells. Aiming to mimic these capabilities, there is growing interest in equipping bottom-up synthetic cells with membrane-associated biomolecular components. In this review, we focus on how proteins and nucleic acids have been associated with synthetic cell membranes, particularly lipid vesicles, to enable the transmission of signals across the membrane. We discuss strategies for anchoring these biomolecules into lipid bilayers and review how they can enable essential signalling mechanisms in synthetic cells, including cell tethering, the generation and fusion of vesicles, and signal transmission and transduction. We highlight how proteins offer native biological functionality, while nucleic acids may bring more modularity and control. Advancing this area will be essential for realising synthetic systems capable of studying natural communication mechanisms and unlocking applications in biosensing, therapeutics, and synthetic tissue engineering.

Indexed as

Artificial CellsCell MembraneLipid BilayersMembrane ProteinsNucleic AcidsSignal TransductionSynthetic BiologyLipid BilayersMembrane ProteinsNucleic Acidsartificial cellbiomoleculebiosensorcell signallinglipid bilayermembranenucleic acidsynthetic biologyvesicle

Identifiers

PMID42415666
PMCPMC13343215

What Socratic 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 Socratic graph.