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Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.

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Title: Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.
Authors: Brezovjakova, H
Tomlinson, C
Mohd Naim, N
Swiatlowska, P
Erasmus, JE
Huveneers, S
Gorelik, J
Bruche, S
Braga, VM
Item 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.
Issue Date: 3-Dec-2019
Date of Acceptance: 2-Dec-2019
URI: http://hdl.handle.net/10044/1/75449
DOI: 10.7554/eLife.45413
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.
Sponsor/Funder: Biotechnology and Biological Sciences Research Council (BBSRC)
Wellcome Trust
Cancer Research UK
Funder's Grant Number: BB/M022617/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Life Sciences & Biomedicine - Other Topics
cancer biology
cell biology
cell-cell contacts
computer vision
image analysis
junction regulation
software development
tissue cohesion
cancer biology
cell biology
0601 Biochemistry and Cell Biology
Publication Status: Published online
Conference Place: England
Open Access location: https://elifesciences.org/articles/45413
Online Publication Date: 2019-12-03
Appears in Collections:Department of Metabolism, Digestion and Reproduction
National Heart and Lung Institute
Faculty of Medicine
Faculty of Natural Sciences