Evidence map›Paper›PMID 29566132›Full record

ArticleBioinformatics (Oxford, England)2018

QuimP: analyzing transmembrane signalling in highly deformable cells.

Piotr Baniukiewicz, Sharon Collier, Till Bretschneider

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. pERK transition-induced directional mode switching promotes epithelial tumor cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  11. Frontiers in cell and developmental biology · 2022
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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.

Piotr BaniukiewiczDepartment of Computer Science & Zeeman Institute, University of Warwick, Coventry, UK.
Sharon CollierDepartment of Computer Science & Zeeman Institute, University of Warwick, Coventry, UK.
Till BretschneiderDepartment of Computer Science & Zeeman Institute, University of Warwick, Coventry, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M01150X/1
6 · The paper itself

Abstract

Summary: Transmembrane signalling plays important physiological roles, with G protein-coupled cell surface receptors being particularly important therapeutic targets. Fluorescent proteins are widely used to study signalling, but analyses of image time series can be challenging, in particular when cells change shape. QuimP software semi-automatically tracks spatio-temporal patterns of fluorescence at the cell membrane at high spatial resolution. This makes it a unique tool for studying transmembrane signalling, particularly during cell migration in immune or cancer cells for example. Availability and implementation: QuimP (http://warwick.ac.uk/quimp) is a set of Java plugins for Fiji/ImageJ (http://fiji.sc) installable through the Fiji Updater (http://warwick.ac.uk/quimp/wiki-pages/installation). It is compatible with Mac, Windows and Unix operating systems, requiring version >1.45 of ImageJ and Java 8. QuimP is released as open source (https://github.com/CellDynamics/QuimP) under an academic licence. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Signal TransductionSoftwareAnimalsCell MembraneComputational BiologyHumans

Identifiers

PMID29566132
PMCPMC6061833

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.