Literature DB >> 10963093

Differentiation of wing epidermal scale cells in a butterfly under the lateral inhibition model--appearance of large cells in a polygonal pattern.

H Honda1, M Tanemura, A Yoshida.   

Abstract

Cellular pattern formations of some epithelia are believed to be governed by the direct lateral inhibition rule of cell differentiation. That is, initially equivalent cells are all competent to differentiate, but once a cell has differentiated, the cell inhibits its immediate neighbors from following this pathway. Such a differentiation repeats until all non-inhibited cells have differentiated. The cellular polygonal patterns can be characterized by the numbers of undifferentiated cells and differentiated ones. When the differentiated cells become large in size, the polygonal pattern is deformed since more cells are needed to enclose the large cell. An actual example of such a cellular pattern was examined. The pupal wing epidermis of a butterfly Pieris rapae shows a transition of the equivalent-size cell pattern to the pattern involving large cells. The process of the transition was analyzed by using the method of weighted Voronoi tessellation that is useful for treatment of irregularly sized polygons. The analysis supported that the pattern transition of the early stage of the pupal wing epidermis is governed by the lateral inhibition rule. The differentiation takes place in order of largeness, but not smallness, of the apical polygonal area in the differentiating region of the pupal wing.

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Year:  2000        PMID: 10963093     DOI: 10.1023/a:1002796601050

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  9 in total

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2.  Evidence for Notch-mediated lateral inhibition in organizing butterfly wing scales.

Authors:  Robert D Reed
Journal:  Dev Genes Evol       Date:  2003-11-14       Impact factor: 0.900

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Review 4.  Mechanocellular models of epithelial morphogenesis.

Authors:  Alexander G Fletcher; Fergus Cooper; Ruth E Baker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-05-19       Impact factor: 6.237

5.  Dynamic mechanical finite element model of biological cells for studying cellular pattern formation.

Authors:  Jieling Zhao; Hammad Naveed; Sema Kachalo; Youfang Cao; Wei Tian; Jie Liang
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6.  Multiscale Modeling of Cellular Epigenetic States: Stochasticity in Molecular Networks, Chromatin Folding in Cell Nuclei, and Tissue Pattern Formation of Cells.

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7.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

8.  Mechanical model of geometric cell and topological algorithm for cell dynamics from single-cell to formation of monolayered tissues with pattern.

Authors:  Sëma Kachalo; Hammad Naveed; Youfang Cao; Jieling Zhao; Jie Liang
Journal:  PLoS One       Date:  2015-05-14       Impact factor: 3.240

9.  A cell-centered, agent-based framework that enables flexible environment granularities.

Authors:  Ryan C Kennedy; Glen Ep Ropella; C Anthony Hunt
Journal:  Theor Biol Med Model       Date:  2016-02-02       Impact factor: 2.432

  9 in total

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