Evidence map›Paper›PMID 36700098›Full record

ArticleBioinformatics advances2021

PoET: automated approach for measuring pore edge tension in giant unilamellar vesicles.

Fernanda S C Leomil, Marcelo Zoccoler, Rumiana Dimova, Karin A Riske

Abstract read
In one paragraph

Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Interaction of anionic FeRSC advances · 2024
    Review
  3. Bilayer Charge Asymmetry and Oil Residues Destabilize Membranes upon Poration.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors.

Fernanda S C LeomilDepartamento de Biofísica, Universidade Federal de São Paulo, São Paulo 043039-032, Brazil.
Marcelo ZoccolerDFG Cluster of Excellence "Physics of Life", Technical University of Dresden, Dresden 01307, Germany.
Rumiana DimovaDepartment of Theory and Bio Systems, Max Planck Institute of Colloids and Interfaces, Potsdam 14424, Germany.
Karin A RiskeDepartamento de Biofísica, Universidade Federal de São Paulo, São Paulo 043039-032, Brazil.ORCID https://orcid.org/0000-0003-4080-1358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: A reliable characterization of the membrane pore edge tension of single giant unilamellar vesicles (GUVs) requires the measurement of micrometer sized pores in hundreds to thousands of images. When manually performed, this procedure has shown to be extremely time-consuming and to generate inconsistent results among different users and imaging systems. A user-friendly software for such analysis allowing quick processing and generation of reproducible data had not yet been reported. Results: We have developed a software (PoET) for automatic pore edge tension measurements on GUVs. The required image processing steps and the characterization of the pore dynamics are performed automatically within the software and its use allowed for a 30-fold reduction in the analysis time. We demonstrate the applicability of the software by comparing the pore edge tension of GUVs of different membrane compositions and surface charges. The approach was applied to electroporated GUVs but is applicable to other means of pore formation. Availability and implementation: The complete software is implemented in Python and available for Windows at https://dx.doi.org/10.17617/3.7h. Supplementary information: Supplementary data are available at

Identifiers

PMID36700098
PMCPMC9710609

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.