Literature DB >> 20369921

Spatially distributed morphogen production and morphogen gradient formation.

Arthur D Lander1, Qing Nie, Frederic Y M Wan.   

Abstract

Partial diferential equations and auxiliary conditions governing the activities of the morphogen Dpp in Drosophila wing imaginal discs were formulated and analyzed as Systems B, R, and C in [7] [9] [10]. All had morphogens produced at the border of anterior and posterior chamber of the wing disc idealized as a point, line, or plane in a one-, two-, or three-dimensional model. In reality, morphogens are synthesized in a narrow region of finite width (possibly of only a few cells) between the two chambers in which diffusion and reversible binding with degradable receptors may also take place. The present investigation revisits the extracellular System R, now allowing for a finite production region of Dpp between the two chambers. It will be shown that this more refined model of the wing disc, designated as System F, leads to some qualitatively diferent morphogen gradient features. One significant diference between the two models is that System F impose no restriction on the morphogen production rate for the existence of a unique stable steady state concentration of the Dpp-receptor complexes. Analytical and numerical solutions will be obtained for special cases of System F. Some applications of the results for explaining available experimental data (to appear elsewhere) are briefly indicated. It will also be shown how the effects of the distributed source of System F may be aggregated to give an approximating point source model (designated as the aggregated source model or System A for short) that includes System R as a special case. System A will be analyzed in considerable detail in [6], and the limitation of System R as an approximation of System F will also be delineated there.

Entities:  

Year:  2005        PMID: 20369921     DOI: 10.3934/mbe.2005.2.239

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  19 in total

1.  Computational analysis of BMP gradients in dorsal-ventral patterning of the zebrafish embryo.

Authors:  Yong-Tao Zhang; Arthur D Lander; Qing Nie
Journal:  J Theor Biol       Date:  2007-06-06       Impact factor: 2.691

2.  A mechanism for morphogen-controlled domain growth.

Authors:  R E Baker; P K Maini
Journal:  J Math Biol       Date:  2006-12-16       Impact factor: 2.259

3.  Membrane-associated non-receptors and morphogen gradients.

Authors:  A D Lander; Q Nie; F Y M Wan
Journal:  Bull Math Biol       Date:  2006-10-20       Impact factor: 1.758

4.  Aggregation of a Distributed Source in Morphogen Gradient Formation.

Authors:  A D Lander; Q Nie; B Vargas; F Y M Wan
Journal:  SIAM J Appl Dyn Syst       Date:  2005-05       Impact factor: 2.316

5.  Compact integration factor methods in high spatial dimensions.

Authors:  Qing Nie; Frederic Y M Wan; Yong-Tao Zhang; Xin-Feng Liu
Journal:  J Comput Phys       Date:  2008       Impact factor: 3.553

6.  Robust and precise morphogen-mediated patterning: trade-offs, constraints and mechanisms.

Authors:  Wing-Cheong Lo; Shaohua Zhou; Frederic Y-M Wan; Arthur D Lander; Qing Nie
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

7.  EFFECTS OF SOG ON DPP-RECEPTOR BINDING.

Authors:  Yuan Lou; Qing Nie; Frederic Y M Wan
Journal:  SIAM J Appl Math       Date:  2005       Impact factor: 2.080

8.  TRANSIENT FEEDBACK AND ROBUST SIGNALING GRADIENTS.

Authors:  Aghavni Simonyan; Frederic Y M Wan
Journal:  Int J Numer Anal Model       Date:  2016       Impact factor: 1.398

9.  Cell-Surface Bound Nonreceptors and Signaling Morphogen Gradients.

Authors:  Frederic Y M Wan
Journal:  Stud Appl Math       Date:  2014-08-01       Impact factor: 3.000

10.  ROBUSTNESS OF SIGNALING GRADIENT IN DROSOPHILA WING IMAGINAL DISC.

Authors:  Jinzhi Lei; Frederic Y M Wan; Arthur D Lander; Qing Nie
Journal:  Discrete Continuous Dyn Syst Ser B       Date:  2011-06       Impact factor: 1.327

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