Evidence map›Paper›PMID 28465336›Full record

ArticleDevelopment (Cambridge, England)2017

SEGGA: a toolset for rapid automated analysis of epithelial cell polarity and dynamics.

Dene L Farrell, Ori Weitz, Marcelo O Magnasco, Jennifer A Zallen

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A geometric-tension-dynamics model of epithelial convergent extension.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. The Geometric Basis of Epithelial Convergent Extension.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evaluating Planar Cell Polarity in the Developing Mouse Epidermis.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Article
  18. Article
  19. Article
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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

4 authors.

Dene L FarrellHoward Hughes Medical Institute and Developmental Biology Program, Sloan Kettering Institute, New York, NY 10065, USA.
Ori WeitzHoward Hughes Medical Institute and Developmental Biology Program, Sloan Kettering Institute, New York, NY 10065, USA.
Marcelo O MagnascoCenter for Studies in Physics and Biology, The Rockefeller University, New York, NY 10065, USA.
Jennifer A ZallenHoward Hughes Medical Institute and Developmental Biology Program, Sloan Kettering Institute, New York, NY 10065, USA zallenj@mskcc.org.ORCID 0000-0003-3975-1568

Funding

Molecular control of tissue morphogenesisR01GM079340 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI ZALLEN, JENNIFER A · 2007 to 2021
$4.2M
Biophysical Mechanisms of Drosophila Development.R01GM102803 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI ZALLEN, JENNIFER A · 2012 to 2015
$1.1M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM079340NIGMS NIH HHS R01 GM102803
6 · The paper itself

Abstract

Epithelial remodeling determines the structure of many organs in the body through changes in cell shape, polarity and behavior and is a major area of study in developmental biology. Accurate and high-throughput methods are necessary to systematically analyze epithelial organization and dynamics at single-cell resolution. We developed SEGGA, an easy-to-use software for automated image segmentation, cell tracking and quantitative analysis of cell shape, polarity and behavior in epithelial tissues. SEGGA is free, open source, and provides a full suite of tools that allow users with no prior computational expertise to independently perform all steps of automated image segmentation, semi-automated user-guided error correction, and data analysis. Here we use SEGGA to analyze changes in cell shape, cell interactions and planar polarity during convergent extension in the

Indexed as

Cell PolaritySoftwareAnimalsAutomationCell ShapeCell TrackingCytological TechniquesDrosophila melanogasterEmbryo, NonmammalianEpithelial CellsGenotypeImage Processing, Computer-AssistedCell trackingConvergent extensionDrosophilaEpitheliaImage segmentationMorphogenesisPlanar polarity

Identifiers

PMID28465336
PMCPMC5450846

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.