Literature DB >> 21889888

Modeling transcriptional networks in Drosophila development at multiple scales.

Zeba Wunderlich1, Angela H DePace.   

Abstract

Quantitative models of developmental processes can provide insights at multiple scales. Ultimately, models may be particularly informative for key questions about network level behavior during development such as how does the system respond to environmental perturbation, or operate reliably in different genetic backgrounds? The transcriptional networks that pattern the Drosophila embryo have been the subject of numerous quantitative experimental studies coupled to modeling frameworks in recent years. In this review, we describe three studies that consider these networks at different levels of molecular detail and therefore result in different types of insights. We also discuss other developmental transcriptional networks operating in Drosophila, with the goal of highlighting what additional insights they may provide.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21889888     DOI: 10.1016/j.gde.2011.07.005

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  19 in total

1.  Differential Masking of Natural Genetic Variation by miR-9a in Drosophila.

Authors:  Justin J Cassidy; Alexander J Straughan; Richard W Carthew
Journal:  Genetics       Date:  2015-11-27       Impact factor: 4.562

2.  Causal Gene Regulatory Network Modeling and Genomics: Second-Generation Challenges.

Authors:  Ellen V Rothenberg
Journal:  J Comput Biol       Date:  2019-05-07       Impact factor: 1.479

3.  Shadow enhancers enable Hunchback bifunctionality in the Drosophila embryo.

Authors:  Max V Staller; Ben J Vincent; Meghan D J Bragdon; Tara Lydiard-Martin; Zeba Wunderlich; Javier Estrada; Angela H DePace
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-06       Impact factor: 11.205

4.  Finding your inner modeler: An NSF-sponsored workshop to introduce cell biologists to modeling/computational approaches.

Authors:  David E Stone; Elizabeth S Haswell; Elizabeth Sztul
Journal:  Cell Logist       Date:  2017-09-25

5.  Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of Five Drosophila Species.

Authors:  Zeba Wunderlich; Charless C Fowlkes; Kelly B Eckenrode; Meghan D J Bragdon; Arash Abiri; Angela H DePace
Journal:  G3 (Bethesda)       Date:  2019-07-09       Impact factor: 3.154

6.  A Philosophical Perspective on Evolutionary Systems Biology.

Authors:  Maureen A O'Malley; Orkun S Soyer; Mark L Siegal
Journal:  Biol Theory       Date:  2015-03-01

Review 7.  Systems approach to developmental biology--designs for robust patterning.

Authors:  Yoshihiro Morishita; Ken-Ichi Hironaka
Journal:  IET Syst Biol       Date:  2013-04       Impact factor: 1.615

8.  Continuous time Boolean modeling for biological signaling: application of Gillespie algorithm.

Authors:  Gautier Stoll; Eric Viara; Emmanuel Barillot; Laurence Calzone
Journal:  BMC Syst Biol       Date:  2012-08-29

9.  Uncovering a dynamic feature of the transcriptional regulatory network for anterior-posterior patterning in the Drosophila embryo.

Authors:  Junbo Liu; Jun Ma
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

10.  Global analysis of Drosophila Cys₂-His₂ zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants.

Authors:  Metewo Selase Enuameh; Yuna Asriyan; Adam Richards; Ryan G Christensen; Victoria L Hall; Majid Kazemian; Cong Zhu; Hannah Pham; Qiong Cheng; Charles Blatti; Jessie A Brasefield; Matthew D Basciotta; Jianhong Ou; Joseph C McNulty; Lihua J Zhu; Susan E Celniker; Saurabh Sinha; Gary D Stormo; Michael H Brodsky; Scot A Wolfe
Journal:  Genome Res       Date:  2013-03-07       Impact factor: 9.043

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