Imperial College London
Alternate

ProfessorVaniaBraga

Faculty of Medicine, National Heart & Lung Institute

Professor of Cellular Signalling
 
 
 
//

Contact

 

+44 (0)20 7594 3233v.braga

 
 
//

Location

 

Office no. 105Sir Alexander Fleming BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Brezovjakova:2019:10.7554/eLife.45413,
author = {Brezovjakova, H and Tomlinson, C and Mohd, Naim N and Swiatlowska, P and Erasmus, JE and Huveneers, S and Gorelik, J and Bruche, S and Braga, VM},
doi = {10.7554/eLife.45413},
journal = {eLife},
pages = {1--48},
title = {Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.},
url = {http://dx.doi.org/10.7554/eLife.45413},
volume = {8},
year = {2019}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Brezovjakova,H
AU  - Tomlinson,C
AU  - Mohd,Naim N
AU  - Swiatlowska,P
AU  - Erasmus,JE
AU  - Huveneers,S
AU  - Gorelik,J
AU  - Bruche,S
AU  - Braga,VM
DO  - 10.7554/eLife.45413
EP  - 48
PY  - 2019///
SN  - 2050-084X
SP  - 1
TI  - Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.
T2  - eLife
UR  - http://dx.doi.org/10.7554/eLife.45413
UR  - https://www.ncbi.nlm.nih.gov/pubmed/31793877
UR  - https://elifesciences.org/articles/45413
UR  - http://hdl.handle.net/10044/1/75449
VL  - 8
ER  -
Download