Evidence map›Paper›PMID 30443329›Full record

ArticleInterface focus2018

Membrane remodelling by a lipidated endosomal sorting complex required for transport-III chimera,

C J Marklew, A Booth, P A Beales, B Ciani

Abstract read
In one paragraph

Article in Interface focus, 2018. 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. Article
  2. Article
  3. Article
  4. The ESCRTs - converging on mechanism.Journal of cell science · 2020
    Review
  5. Article
  6. Article
  7. Topography design in model membranes: Where biology meets physics.Experimental biology and medicine (Maywood, N.J.) · 2019
    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.

C J MarklewDepartment of Chemistry and Centre for Membrane Interactions and Dynamics, University of Sheffield, Sheffield, UK.
A BoothSchool of Chemistry and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, UK.
P A BealesSchool of Chemistry and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, UK.
B CianiDepartment of Chemistry and Centre for Membrane Interactions and Dynamics, University of Sheffield, Sheffield, UK.ORCID 0000-0001-7223-4154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of eukaryotic cells is underscored by the compartmentalization of chemical signals by phospholipid membranes. A grand challenge of synthetic biology is building life from the 'bottom-up', for the purpose of generating systems simple enough to precisely interrogate biological pathways or for adapting biology to perform entirely novel functions. Achieving compartmentalization of chemistries in an addressable manner is a task exquisitely refined by nature and embodied in a unique membrane remodelling machinery that pushes membranes away from the cytosol, the ESCRT-III (endosomal sorting complex required for transport-III) complex. Here, we show efforts to engineer a single ESCRT-III protein merging functional features from its different components. The activity of such a designed ESCRT-III is shown by its ability to drive the formation of compartments encapsulating fluorescent cargo. It appears that the modular nature of ESCRT-III allows its functional repurposing into a minimal machinery that performs sophisticated membrane remodelling, therefore enabling its use to create eukaryotic-like multi-compartment architectures.

Indexed as

artificial cellscompartmentalizationESCRTmembranes

Identifiers

PMID30443329
PMCPMC6227774

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.