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QuimP: analyzing transmembrane signalling in highly deformable cells
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 ce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061833/ https://www.ncbi.nlm.nih.gov/pubmed/29566132 http://dx.doi.org/10.1093/bioinformatics/bty169 |
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author | Baniukiewicz, Piotr Collier, Sharon Bretschneider, Till |
author_facet | Baniukiewicz, Piotr Collier, Sharon Bretschneider, Till |
author_sort | Baniukiewicz, Piotr |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6061833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60618332018-08-07 QuimP: analyzing transmembrane signalling in highly deformable cells Baniukiewicz, Piotr Collier, Sharon Bretschneider, Till Bioinformatics Applications Notes 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. Oxford University Press 2018-08-01 2018-03-16 /pmc/articles/PMC6061833/ /pubmed/29566132 http://dx.doi.org/10.1093/bioinformatics/bty169 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Baniukiewicz, Piotr Collier, Sharon Bretschneider, Till QuimP: analyzing transmembrane signalling in highly deformable cells |
title | QuimP: analyzing transmembrane signalling in highly deformable cells |
title_full | QuimP: analyzing transmembrane signalling in highly deformable cells |
title_fullStr | QuimP: analyzing transmembrane signalling in highly deformable cells |
title_full_unstemmed | QuimP: analyzing transmembrane signalling in highly deformable cells |
title_short | QuimP: analyzing transmembrane signalling in highly deformable cells |
title_sort | quimp: analyzing transmembrane signalling in highly deformable cells |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061833/ https://www.ncbi.nlm.nih.gov/pubmed/29566132 http://dx.doi.org/10.1093/bioinformatics/bty169 |
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