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Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.
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![]() | Published version | 12.05 MB | Adobe PDF | View/Open |
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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 104931/Z/14/Z 11980 |
Keywords: | Science & Technology Life Sciences & Biomedicine Biology Life Sciences & Biomedicine - Other Topics CONNEXIN-43 EXPRESSION CARDIAC-HYPERTROPHY RAC ACTIVATION MICROSCOPY DYNAMICS ADHESION ANALYZE cancer biology cell biology cell-cell contacts computer vision human image analysis junction regulation software development tissue cohesion cancer biology cell biology human 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 |