Evidence map›Paper›PMID 32272670›Full record

ArticleMicromachines2020

Fusing Artificial Cell Compartments and Lipid Domains Using Optical Traps: A Tool to Modulate Membrane Composition and Phase Behaviour.

Adithya Vivek, Guido Bolognesi, Yuval Elani

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Interfacing Living and Synthetic Cells as an Emerging Frontier in Synthetic Biology.Angewandte Chemie (International ed. in English) · 2021
    Review
  4. Interfacing Living and Synthetic Cells as an Emerging Frontier in Synthetic Biology.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  5. Article
  6. A New Take on Prion Protein Dynamics in Cellular Trafficking.International journal of molecular sciences · 2020
    Review
  7. 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

3 authors.

Adithya VivekDepartment of Chemistry, Imperial College London, London W12 0BZ, UK.
Guido BolognesiDepartment of Chemical Engineering, Loughborough University, Leicestershire LE11 3TU, UK.ORCID 0000-0002-2380-0794
Yuval ElaniDepartment of Chemical Engineering, Imperial College London, London SW7 2AZ, UK.

Funding

Engineering and Physical Sciences Research Council EP/N016998/1Medical Research Council MR/S031537/1United Kingdom Research and Innovation (UKRI) MR/S031537/1
6 · The paper itself

Abstract

New technologies for manipulating biomembranes have vast potential to aid the understanding of biological phenomena, and as tools to sculpt novel artificial cell architectures for synthetic biology. The manipulation and fusion of vesicles using optical traps is amongst the most promising due to the level of spatiotemporal control it affords. Herein, we conduct a suite of feasibility studies to show the potential of optical trapping technologies to (i) modulate the lipid composition of a vesicle by delivering new membrane material through fusion events and (ii) manipulate and controllably fuse coexisting membrane domains for the first time. We also outline some noteworthy morphologies and transitions that the vesicle undergoes during fusion, which gives us insight into the mechanisms at play. These results will guide future exploitation of laser-assisted membrane manipulation methods and feed into a technology roadmap for this emerging technology.

Indexed as

artificial cellsmembrane biophysicsmembranesoptical trapsphase separationvesicles

Identifiers

PMID32272670
PMCPMC7230983

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.