Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.
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Supporting information
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
Stable cell-cell contacts underpin tissue architecture and organization. Quantification of junctions of mammalian epithelia requires laborious manual measurements that are a major roadblock for mechanistic studies. We designed Junction Mapper as an open access, semi-automated software that defines the status of adhesiveness via the simultaneous measurement of pre-defined parameters at cell-cell contacts. It identifies contacting interfaces and corners with minimal user input and quantifies length, area and intensity of junction markers. Its ability to measure fragmented junctions is unique. Importantly, junctions that considerably deviate from the contiguous staining and straight contact phenotype seen in epithelia are also successfully quantified (i.e. cardiomyocytes or endothelia). Distinct phenotypes of junction disruption can be clearly differentiated among various oncogenes, depletion of actin regulators or stimulation with other agents. Junction Mapper is thus a powerful, unbiased and highly applicable software for profiling cell-cell adhesion phenotypes and facilitate studies on junction dynamics in health and disease.
Date Issued
2019-12-03
Date Acceptance
2019-12-02
Citation
eLife, 2019, 8, pp.1-48
ISSN
2050-084X
Publisher
eLife Sciences Publications Ltd
Start Page
1
End Page
48
Journal / Book Title
eLife
Volume
8
Copyright Statement
© 2019 Brezovjakova et al.
This article is distributed under
the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use
and redistribution provided that
the original author and source are
credited.
This article is distributed under
the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use
and redistribution provided that
the original author and source are
credited.
Sponsor
Biotechnology and Biological Sciences Research Council (BBSRC)
Wellcome Trust
Cancer Research UK
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31793877
PII: 45413
Grant Number
BB/M022617/1
104931/Z/14/Z
11980
Subjects
cancer biology
cell biology
human
Publication Status
Published online
Coverage Spatial
England
Date Publish Online
2019-12-03