Evidence map›Paper›PMID 19581896›Full record

ArticleNature nanotechnology2009

Droplet networks with incorporated protein diodes show collective properties.

Giovanni Maglia, Andrew J Heron, William L Hwang, Matthew A Holden, Ellina Mikhailova, Qiuhong Li, Stephen Cheley, Hagan Bayley

Abstract read
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In one paragraph

Article in Nature nanotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Review
  2. Controlled assembly and sophisticated additive manufacturing of macroscopic droplets.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  4. A nanofluidic oscillating neuron.Nature communications · 2025
    Article
  5. Article
  6. Article
  7. Reconfigurable droplet networks.Nature communications · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Giovanni MagliaDepartment of Chemistry, University of Oxford, Oxford OX1 3TA, UK.
Andrew J Heron
William L Hwang
Matthew A Holden
Ellina Mikhailova
Qiuhong Li
Stephen Cheley
Hagan Bayley

Funding

Medical Research Council G0300122
6 · The paper itself

Abstract

Recently, we demonstrated that submicrolitre aqueous droplets submerged in an apolar liquid containing lipid can be tightly connected by means of lipid bilayers to form networks. Droplet interface bilayers have been used for rapid screening of membrane proteins and to form asymmetric bilayers with which to examine the fundamental properties of channels and pores. Networks, meanwhile, have been used to form microscale batteries and to detect light. Here, we develop an engineered protein pore with diode-like properties that can be incorporated into droplet interface bilayers in droplet networks to form devices with electrical properties including those of a current limiter, a half-wave rectifier and a full-wave rectifier. The droplet approach, which uses unsophisticated components (oil, lipid, salt water and a simple pore), can therefore be used to create multidroplet networks with collective properties that cannot be produced by droplet pairs.

Indexed as

Bacterial ToxinsElectrochemistryElectrodesHemolysin ProteinsIon ChannelsLipid BilayersMicrofluidic Analytical TechniquesNanotechnologyBacterial ToxinsHemolysin ProteinsIon ChannelsLipid Bilayersstaphylococcal alpha-toxin

Identifiers

PMID19581896

What OpenQuestion holds

Textmetadata
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.