QuimP: analyzing transmembrane signalling in highly deformable cells.
QuimP: analyzing transmembrane signalling in highly deformable cells.
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DOI:
10.1093/bioinformatics/bty169
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发表时间:
2018-08-01
期刊:
影响因子:
--
通讯作者:
Bretschneider T
中科院分区:
文献类型:
--
作者:
Baniukiewicz P;Collier S;Bretschneider T
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. 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 data are available at Bioinformatics online.
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DOI:
10.1083/jcb.201501081
发表时间:
2015-04-13
期刊:
The Journal of cell biology
影响因子:
--
作者:
Barry DJ;Durkin CH;Abella JV;Way M
通讯作者:
Way M
影响因子:
4.6
作者:
Collier S;Paschke P;Kay RR;Bretschneider T
通讯作者:
Bretschneider T
影响因子:
3.3
作者:
Johnson GR;Buck TE;Sullivan DP;Rohde GK;Murphy RF
通讯作者:
Murphy RF
影响因子:
5.8
作者:
Arganda-Carreras, Ignacio;Kaynig, Verena;Seung, H. Sebastian
通讯作者:
Seung, H. Sebastian
影响因子:
2.5
作者:
Hermans, Thomas M.;Pilans, Didzis;Grzybowski, Bartosz A.
通讯作者:
Grzybowski, Bartosz A.