Evidence map›Paper›PMID 31793877›Full record

ArticleeLife2019

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

Helena Brezovjakova, Chris Tomlinson, Noor Mohd Naim, Pamela Swiatlowska, Jennifer C Erasmus, Stephan Huveneers, Julia Gorelik, Susann Bruche, Vania Mm Braga

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  3. Loss of Twist1 leads to disruption of ciliary length, endocytic vesicle dynamics, and cell-cell junctions during neural tube formation.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Helena Brezovjakova *National Heart and Lung Institute, National Institutes of Health, London, United Kingdom.ORCID 0000-0002-3554-6084
Chris Tomlinson *Bioinformatics Data Science Group, Faculty of Medicine, Imperial College London, London, United Kingdom.ORCID 0000-0002-8634-6111
Noor Mohd NaimNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.
Pamela SwiatlowskaNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.ORCID 0000-0002-3705-7495
Jennifer C ErasmusNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.
Stephan HuveneersDepartment Medical Biochemistry, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-1091-475X
Julia GorelikNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.ORCID 0000-0003-1148-9158
Susann BrucheNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.ORCID 0000-0002-5814-7166
Vania Mm BragaNational Heart and Lung Institute, National Institutes of Health, London, United Kingdom.ORCID 0000-0003-0546-7163

Funding

The Role of the Sodium Channel Beta Subunit in Cardiac ConductionR01HL141855 · NHLBI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GOURDIE, ROBERT G, POELZING, STEVEN · 2018 to 2021
$1.8M
Biotechnology and Biological Sciences Research Council BB/D019400/1Biotechnology and Biological Sciences Research Council BB/M022617/1British Heart Foundation RG/17/13/33173Cancer Research UK 11980Cancer Research UK C1282/A11980Medical Research Council G0600791Medical Research Council MR/M026310/1Nederlandse Organisatie voor Wetenschappelijk Onderzoek VIDI 016.156.327Netherlands Organization of Scientific Research VIDI 016.156.327NHLBI NIH HHS R01 HL141855NIH HHS 1R01HL141855-01Prime Minister's Office, Brunei Darussalam JPLL/A/4:A[2010]/J1(703)Wellcome Trust
6 · The paper itself

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.

Indexed as

AnimalsCadherinsCell AdhesionCell CommunicationCells, CulturedComputational BiologyEndothelial CellsHumansIntercellular JunctionsKeratinocytesMicroscopy, ConfocalMyocytes, CardiacPhenotypeRats, Sprague-DawleySoftwareCadherinscancer biologycell biologycell-cell contactscomputer visionhumanimage analysisjunction regulationsoftware developmenttissue cohesion

Identifiers

PMID31793877
PMCPMC7034980

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.