| Literature DB >> 31793877 |
Helena Brezovjakova1, Chris Tomlinson2, Noor Mohd Naim1, Pamela Swiatlowska1, Jennifer C Erasmus1, Stephan Huveneers3, Julia Gorelik1, Susann Bruche1, Vania Mm Braga1.
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.Entities:
Keywords: cancer biology; cell biology; cell-cell contacts; computer vision; human; image analysis; junction regulation; software development; tissue cohesion
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Year: 2019 PMID: 31793877 PMCID: PMC7034980 DOI: 10.7554/eLife.45413
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.713