GFtbox Example pages

Published models

2012 Erika E. Kuchen, Samantha Fox, Pierre Barbier de Reuille, Richard Kennaway, Sandra Bensmihen, Jerome Avondo, Grant M. Calder, Paul Southam, Sarah Robinson, Andrew Bangham, Enrico Coen "Generation of Leaf Shape through Early Patterns of Growth and Tissue Polarity", Science: in press

Understanding patterns of leaf growth
The models described in this paper can be downloaded here.

2011 Richard Kennaway, Enrico Coen, Amelia Green, Andrew Bangham, "Generation of diverse biological forms through combinatorial interactions between tissue polarity and growth", PLoS Comp Biol, 7(6): e1002071. doi:10.1371/journal.pcbi.1002071http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002071

Introducing the Growing Polarised Tissue framework and GFtbox
The models described here are included in GFtbox release (directory \GrowthToolbox\Models\Published). They can be loaded using the GUI by selecting Menus:Projects:Models:Published:Kennaway etal 2011. They can also be downloaded here.

The models illustrate points about the understanding of growth seen through the lens of the Growing Polarised Tissue Framework. They are not designed to illustrate properties of our implementation of the idea, the GFtbox (although this might be a by-product). Tutorials on the GFtbox are here and details about the GFtbox are here.

CASES A to Q have been extracted from the original single project for two reasons, clarity and they have been altered slightly to make them more consistent with the style of programming that we have found makes interaction functions clearer. The results are the same.
The models are to be understood in conjuction with the paper.

• GPT_CASE_A
• GPT_CASE_B
• GPT_CASE_C
• GPT_CASE_E
• GPT_CASES_FGHI
• GPT_CASES_JKLM
• GPT_CASES_NOPQ
  

These models are those used in the paper.

• GPT_CASE_RST

A Matlab script to run all three submodels and check that dt is reasonable is as follows:

       GFtboxCommand('Path','/GrowthToolbox/Models/Published/Kennaway-etal-2011/','Name','GPT_CASE_RST',...
       'Stages',[20 100 140 180 200],'dt',[0.5,1,2,5],'modelname',[1:3]);
       VMSreport('Path','/GrowthToolbox/Models/Published/Kennaway-etal-2011/','Project','GPT_CASE_RST',...
       'Experiment','All','flattentime',572.5,'morphogen','KPAR','SNAPFIG',true);

where the Path parameter specifies the location of GPT_CASE_RST directory, included in the GFtbox download. Name and Project both refer to the name of the GPT_CASE_RST directory itself. The first command (GFtboxCommand...) will sequentially run 12 5-stage simulations, comprising three models, generated using four different values of dt. The second command (VMSreport...) will generate images of the locally simulated models.

• GPT_InvagEmbryo
  

The Snapdragon model is given in Green et. al. shown below.

2010 Amelia A. Green, J. Richard Kennaway, Andrew I. Hanna, J. Andrew Bangham, Enrico Coen, "Genetic Control of Organ Shape and Tissue Polarity", PLoS Biol vol.8, no.11, http://dx.doi.org/10.1371/journal.pbio.1000537.

Relating gene activity to growing shapes
The GFtbox project is a part of the GFtbox and is accessed through the Project menu. It also be downloaded here.

The project is the unabridged interaction function used to produce all the Figures. As result, it is very long. To understand it requires a good understanding of the GFtbox environment, the paper and its supplemental Text 1. The submodels capture the development of the scientific argument made in the paper. The same model is used for Cui et al.

• GPT_Snapdragon_2010_Green_et_al.
  
  

2010 Min-Long Cui, Lucy Copsey, Amelia A. Green, J. Andrew Bangham, Enrico Coen, "Quantitative Control of Organ Shape by Combinatorial Gene Activity", PLoS Biol, 2010, vol.8, no.11, http://dx.doi.org/10.1371/journal.pbio.1000538.

Relating hypothetical patterns of gene activity to observed growing shapes
The models used in this paper are all a part of the project GPT_Snapdragon_2010_Green_et_al. However, to run the models requires an understanding of how to script GFtbox to run on a cluster.