Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computational modelling of epithelial patterning.

Hans Meinhardt1

  • 1Max-Planck-Institut für Entwicklungsbiologie, Spemannstr. 35, D-72076 Tübingen, Germany. hans.meinhardt@tuebingen.mpg.de

Current Opinion in Genetics & Development
|July 14, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Models for patterning primary embryonic body axes: The role of space and time.

Seminars in cell & developmental biology·2015
Same author

Dorsoventral patterning by the Chordin-BMP pathway: a unified model from a pattern-formation perspective for Drosophila, vertebrates, sea urchins and Nematostella.

Developmental biology·2015
Same author

Turing's theory of morphogenesis of 1952 and the subsequent discovery of the crucial role of local self-enhancement and long-range inhibition.

Interface focus·2013
Same author

No oscillations in real activator-inhibitor systems in accomplishing pattern formation.

Bulletin of mathematical biology·2012
Same author

Modeling pattern formation in hydra: a route to understanding essential steps in development.

The International journal of developmental biology·2012
Same author

miRNA-mediated feedback inhibition of JAK/STAT morphogen signalling establishes a cell fate threshold.

Nature cell biology·2011
Same journal

Temporal trajectories underlying adult neuronal diversity.

Current opinion in genetics & development·2026
Same journal

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Current opinion in genetics & development·2026
Same journal

Shared molecular and cellular programs during regeneration of glandular epithelia.

Current opinion in genetics & development·2026
Same journal

Lineage tracing in human cortical development.

Current opinion in genetics & development·2026
Same journal

Cis-regulatory strategies in developmental patterning.

Current opinion in genetics & development·2026
Same journal

GABAergic neuron fate specification and lineage allocation: from development to disorder.

Current opinion in genetics & development·2026
See all related articles

Cell polarity generation is a pattern-forming process requiring self-enhancement and inhibition. Recent models align with general principles, but the molecular basis of cell positional identity remains elusive.

Area of Science:

  • Cell Biology
  • Developmental Biology
  • Biophysics

Background:

  • Cell polarity is crucial for tissue development and function.
  • Pattern formation principles involve local self-enhancement and long-range inhibition.
  • Classical transplantation experiments offer insights into cell communication.

Purpose of the Study:

  • To compare general pattern formation requirements with molecular implementations in cell polarity models.
  • To integrate classical findings with modern molecular approaches to cell polarity.
  • To understand the molecular basis of positional identity in cell polarity.

Main Methods:

  • Comparative analysis of theoretical models and experimental data.
  • Review of recent literature on molecular mechanisms of cell polarity.

Related Experiment Videos

  • Re-evaluation of classical transplantation experiments in light of current knowledge.

    • Main Results:

    • Cell polarity generation adheres to general pattern-forming principles (self-enhancement, inhibition).
    • Molecular implementations in recent models show similarities and differences.
    • Classical experiments highlight the role of graded positional identities, whose molecular nature is still unknown.

    Conclusions:

    • Understanding cell polarity requires integrating general biophysical principles with specific molecular mechanisms.
    • Further research is needed to elucidate the molecular basis of cell positional identity.
    • Bridging classical and modern approaches is key to advancing cell polarity research.