Literature DB >> 20023719

Modelling the Drosophila embryo.

Johannes Jaeger1.   

Abstract

I provide a historical overview on the use of mathematical models to gain insight into pattern formation during early development of the fruit fly Drosophila melanogaster. It is my intention to illustrate how the aims and methodology of modelling have changed from the early beginnings of a theoretical developmental biology in the 1960s to modern-day systems biology. I show that even early modelling attempts addressed interesting and relevant questions, which were not tractable by experimental approaches. Unfortunately, their validation was severely hampered by a lack of specificity and appropriate experimental evidence. There is a simple lesson to be learned from this: we cannot deduce general rules for pattern formation from first principles or spurious reproduction of developmental phenomena. Instead, we must infer such rules (if any) from detailed and accurate studies of specific developmental systems. To achieve this, mathematical modelling must be closely integrated with experimental approaches. I report on progress that has been made in this direction in the past few years and illustrate the kind of novel insights that can be gained from such combined approaches. These insights demonstrate the great potential (and some pitfalls) of an integrative, systems-level investigation of pattern formation.

Entities:  

Mesh:

Year:  2009        PMID: 20023719     DOI: 10.1039/b904722k

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  20 in total

1.  Multiscale modeling of diffusion in the early Drosophila embryo.

Authors:  Christine Sample; Stanislav Y Shvartsman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

2.  Towards an integrated experimental-theoretical approach for assessing the mechanistic basis of hair and feather morphogenesis.

Authors:  K J Painter; G S Hunt; K L Wells; J A Johansson; D J Headon
Journal:  Interface Focus       Date:  2012-02-15       Impact factor: 3.906

3.  Odd-paired controls frequency doubling in Drosophila segmentation by altering the pair-rule gene regulatory network.

Authors:  Erik Clark; Michael Akam
Journal:  Elife       Date:  2016-08-15       Impact factor: 8.140

4.  Context-dependent transcriptional interpretation of mitogen activated protein kinase signaling in the Drosophila embryo.

Authors:  Yoosik Kim; Antonina Iagovitina; Keisuke Ishihara; Kate M Fitzgerald; Bart Deplancke; Dmitri Papatsenko; Stanislav Y Shvartsman
Journal:  Chaos       Date:  2013-06       Impact factor: 3.642

Review 5.  The embryo as a laboratory: quantifying transcription in Drosophila.

Authors:  Thomas Gregor; Hernan G Garcia; Shawn C Little
Journal:  Trends Genet       Date:  2014-07-06       Impact factor: 11.639

6.  Reconstructing blood stem cell regulatory network models from single-cell molecular profiles.

Authors:  Fiona K Hamey; Sonia Nestorowa; Sarah J Kinston; David G Kent; Nicola K Wilson; Berthold Göttgens
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-06       Impact factor: 11.205

Review 7.  The gap gene network.

Authors:  Johannes Jaeger
Journal:  Cell Mol Life Sci       Date:  2010-10-08       Impact factor: 9.261

8.  Analysis of gap gene regulation in a 3D organism-scale model of the Drosophila melanogaster embryo.

Authors:  James B Hengenius; Michael Gribskov; Ann E Rundell; Charless C Fowlkes; David M Umulis
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

9.  Mechanisms of gap gene expression canalization in the Drosophila blastoderm.

Authors:  Vitaly V Gursky; Lena Panok; Ekaterina M Myasnikova; Maria G Samsonova; John Reinitz; Alexander M Samsonov
Journal:  BMC Syst Biol       Date:  2011-07-28

Review 10.  Modeling planarian regeneration: a primer for reverse-engineering the worm.

Authors:  Daniel Lobo; Wendy S Beane; Michael Levin
Journal:  PLoS Comput Biol       Date:  2012-04-26       Impact factor: 4.475

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