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@ARTICLE{Wittmann:136030,
author = {Wittmann, Dominik M and Blöchl, Florian and Trümbach,
Dietrich and Wurst, Wolfgang and Prakash, Nilima and Theis,
Fabian J},
title = {{S}patial analysis of expression patterns predicts genetic
interactions at the mid-hindbrain boundary.},
journal = {PLoS Computational Biology},
volume = {5},
number = {11},
issn = {1553-7358},
address = {San Francisco, Calif.},
publisher = {Public Library of Science},
reportid = {DZNE-2020-02352},
pages = {e1000569},
year = {2009},
abstract = {The isthmic organizer mediating differentiation of mid- and
hindbrain during vertebrate development is characterized by
a well-defined pattern of locally restricted gene expression
domains around the mid-hindbrain boundary (MHB). This
pattern is established and maintained by a regulatory
network between several transcription and secreted factors
that is not yet understood in full detail. In this
contribution we show that a Boolean analysis of the
characteristic spatial gene expression patterns at the
murine MHB reveals key regulatory interactions in this
network. Our analysis employs techniques from computational
logic for the minimization of Boolean functions. This
approach allows us to predict also the interplay of the
various regulatory interactions. In particular, we predict a
maintaining, rather than inducing, effect of Fgf8 on Wnt1
expression, an issue that remained unclear from published
data. Using mouse anterior neural plate/tube explant
cultures, we provide experimental evidence that Fgf8 in fact
only maintains but does not induce ectopic Wnt1 expression
in these explants. In combination with previously validated
interactions, this finding allows for the construction of a
regulatory network between key transcription and secreted
factors at the MHB. Analyses of Boolean, differential
equation and reaction-diffusion models of this network
confirm that it is indeed able to explain the stable
maintenance of the MHB as well as time-courses of expression
patterns both under wild-type and various knock-out
conditions. In conclusion, we demonstrate that similar to
temporal also spatial expression patterns can be used to
gain information about the structure of regulatory networks.
We show, in particular, that the spatial gene expression
patterns around the MHB help us to understand the
maintenance of this boundary on a systems level.},
keywords = {Algorithms / Animals / Brain: embryology / Brain:
metabolism / Brain Mapping: methods / Computational Biology:
methods / Diffusion / Fibroblast Growth Factor 8: genetics /
Gene Expression Profiling: methods / Gene Expression
Regulation, Developmental / Mice / Mice, Inbred C57BL /
Models, Biological / Models, Statistical / Transcription,
Genetic / Wnt1 Protein: genetics / Fgf8 protein, mouse (NLM
Chemicals) / Wnt1 Protein (NLM Chemicals) / Wnt1 protein,
mouse (NLM Chemicals) / Fibroblast Growth Factor 8 (NLM
Chemicals)},
cin = {AG Wurst},
ddc = {610},
cid = {I:(DE-2719)1140001},
pnm = {342 - Disease Mechanisms and Model Systems (POF3-342)},
pid = {G:(DE-HGF)POF3-342},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:19936059},
pmc = {pmc:PMC2774268},
doi = {10.1371/journal.pcbi.1000569},
url = {https://pub.dzne.de/record/136030},
}