Executing multicellular differentiation: quantitative predictive modelling of C.elegans vulval development.
BACKGROUND
Understanding the processes involved in multi-cellular pattern formation is a central problem of developmental biology, hopefully leading to many new insights, e.g. in the treatment of various diseases. Defining suitable computational techniques for development modelling, able to perform in silico simulation experiments, is an open and challenging problem.


RESULTS
Previously, we proposed a coarse-grained, quantitative approach based on the basic Petri net formalism, to mimic the behaviour of the biological processes during multicellular differentiation. Here, we apply our modelling approach to the well-studied process of Caenorhabditis elegans vulval development. We show that our model correctly reproduces a large set of in vivo experiments with statistical accuracy. It also generates gene expression time series in accordance with recent biological evidence. Finally, we modelled the role of microRNA mir-61 during vulval development and predict its contribution in stabilizing cell pattern formation.
Bonzanni
Nicola
N
Centre for Integrative Bioinformatics and Department of Computer Science, Vrije Universiteit, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands.
Krepska
Elzbieta
E
Feenstra
K Anton
KA
Fokkink
Wan
W
Kielmann
Thilo
T
Bal
Henri
H
Heringa
Jaap
J
D000818:Animals; D019521:Body Patterning; D017173:Caenorhabditis elegans / Q000254:growth & development*; D002454:Cell Differentiation; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D005260:Female; D035683:MicroRNAs / Q000378:metabolism; D038081:Organogenesis; D014844:Vulva / Q000166:cytology / Q000254:growth & development
D035683:MicroRNAs