Evidence map›Paper›PMID 27284034›Full record

ReviewBiochemical Society transactions2016

Construction of membrane-bound artificial cells using microfluidics: a new frontier in bottom-up synthetic biology.

Yuval Elani

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Synthetic cells for phage therapy: a perspective.Frontiers in cellular and infection microbiology · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Interfacing Living and Synthetic Cells as an Emerging Frontier in Synthetic Biology.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  11. Interfacing Living and Synthetic Cells as an Emerging Frontier in Synthetic Biology.Angewandte Chemie (International ed. in English) · 2021
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

1 author.

Yuval ElaniDepartment of Chemistry, Imperial College London, Exhibition Road, London SW7 2AZ, U.K. yuval.elani10@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest to construct artificial cells from the bottom-up using simple building blocks has received much attention over recent decades and is one of the grand challenges in synthetic biology. Cell mimics that are encapsulated by lipid membranes are a particularly powerful class of artificial cells due to their biocompatibility and the ability to reconstitute biological machinery within them. One of the key obstacles in the field centres on the following: how can membrane-based artificial cells be generated in a controlled way and in high-throughput? In particular, how can they be constructed to have precisely defined parameters including size, biomolecular composition and spatial organization? Microfluidic generation strategies have proved instrumental in addressing these questions. This article will outline some of the major principles underpinning membrane-based artificial cells and their construction using microfluidics, and will detail some recent landmarks that have been achieved.

Indexed as

Artificial CellsCell MembraneMembranes, ArtificialMicrofluidicsSynthetic BiologyMembranes, Artificialartificial cellsbiomimeticsdroplet interface bilayersmicrofluidicssynthetic biologyvesicles

Identifiers

PMID27284034
PMCPMC4900754

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.