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QuimP: analyzing transmembrane signalling in highly deformable cells
Author(s) -
P. Baniukiewicz,
Sharon Collier,
Till Bretschneider
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty169
Subject(s) - transmembrane protein , plug in , java , signalling , unix , computer science , software , computational biology , biology , microbiology and biotechnology , operating system , receptor , biochemistry
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.

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