Literature DB >> 19028486

Modeling the dynamics of transcriptional gene regulatory networks for animal development.

Smadar Ben-Tabou de-Leon1, Eric H Davidson.   

Abstract

The dynamic process of cell fate specification is regulated by networks of regulatory genes. The architecture of the network defines the temporal order of specification events. To understand the dynamic control of the developmental process, the kinetics of mRNA and protein synthesis and the response of the cis-regulatory modules to transcription factor concentration must be considered. Here we review mathematical models for mRNA and protein synthesis kinetics which are based on experimental measurements of the rates of the relevant processes. The model comprises the response functions of cis-regulatory modules to their transcription factor inputs, by incorporating binding site occupancy and its dependence on biologically measurable quantities. We use this model to simulate gene expression, to distinguish between cis-regulatory execution of "AND" and "OR" logic functions, rationalize the oscillatory behavior of certain transcriptional auto-repressors and to show how linked subcircuits can be dealt with. Model simulations display the effects of mutation of binding sites, or perturbation of upstream gene expression. The model is a generally useful tool for understanding gene regulation and the dynamics of cell fate specification.

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Year:  2008        PMID: 19028486      PMCID: PMC4100934          DOI: 10.1016/j.ydbio.2008.10.043

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


  97 in total

1.  cis-Regulatory control of cyclophilin, a member of the ETS-DRI skeletogenic gene battery in the sea urchin embryo.

Authors:  Gabriele Amore; Eric H Davidson
Journal:  Dev Biol       Date:  2006-03-30       Impact factor: 3.582

2.  Constitutive promoter occupancy by the MBF-1 activator and chromatin modification of the developmental regulated sea urchin alpha-H2A histone gene.

Authors:  Valentina Di Caro; Vincenzo Cavalieri; Raffaella Melfi; Giovanni Spinelli
Journal:  J Mol Biol       Date:  2006-11-03       Impact factor: 5.469

Review 3.  Stochastic transcription initiation: Time dependent transcription rates.

Authors:  R Murugan
Journal:  Biophys Chem       Date:  2006-01-27       Impact factor: 2.352

4.  Multilineage transcriptional priming and determination of alternate hematopoietic cell fates.

Authors:  Peter Laslo; Chauncey J Spooner; Aryeh Warmflash; David W Lancki; Hyun-Jun Lee; Roger Sciammas; Benjamin N Gantner; Aaron R Dinner; Harinder Singh
Journal:  Cell       Date:  2006-08-25       Impact factor: 41.582

5.  Intracellular delay limits cyclic changes in gene expression.

Authors:  Katja Rateitschak; Olaf Wolkenhauer
Journal:  Math Biosci       Date:  2006-08-24       Impact factor: 2.144

6.  Development. Built to run, not fail.

Authors:  Paola Oliveri; Eric H Davidson
Journal:  Science       Date:  2007-03-16       Impact factor: 47.728

Review 7.  Biology by numbers: mathematical modelling in developmental biology.

Authors:  Claire J Tomlin; Jeffrey D Axelrod
Journal:  Nat Rev Genet       Date:  2007-05       Impact factor: 53.242

8.  Identification and characterization of homeobox transcription factor genes in Strongylocentrotus purpuratus, and their expression in embryonic development.

Authors:  Meredith Howard-Ashby; Stefan C Materna; C Titus Brown; Lili Chen; R Andrew Cameron; Eric H Davidson
Journal:  Dev Biol       Date:  2006-08-22       Impact factor: 3.582

9.  Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.

Authors:  Hilde Janssens; Shuling Hou; Johannes Jaeger; Ah-Ram Kim; Ekaterina Myasnikova; David Sharp; John Reinitz
Journal:  Nat Genet       Date:  2006-09-17       Impact factor: 38.330

10.  Repression of mesodermal fate by foxa, a key endoderm regulator of the sea urchin embryo.

Authors:  Paola Oliveri; Katherine D Walton; Eric H Davidson; David R McClay
Journal:  Development       Date:  2006-11       Impact factor: 6.868

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  40 in total

1.  Information processing at the foxa node of the sea urchin endomesoderm specification network.

Authors:  Smadar Ben-Tabou de-Leon; Eric H Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

2.  Dynamics of the Interaction between Cotton Bollworm Helicoverpa armigera and Nucleopolyhedrovirus as Revealed by Integrated Transcriptomic and Proteomic Analyses.

Authors:  Longsheng Xing; Chuanfei Yuan; Manli Wang; Zhe Lin; Benchang Shen; Zhihong Hu; Zhen Zou
Journal:  Mol Cell Proteomics       Date:  2017-04-12       Impact factor: 5.911

Review 3.  Analytic approaches to stochastic gene expression in multicellular systems.

Authors:  Alistair Nicol Boettiger
Journal:  Biophys J       Date:  2013-12-17       Impact factor: 4.033

4.  Modularity of CHIP/LDB transcription complexes regulates cell differentiation.

Authors:  Revital Bronstein; Daniel Segal
Journal:  Fly (Austin)       Date:  2011-07-01       Impact factor: 2.160

5.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

6.  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

7.  A single molecule view on Dbp5 and mRNA at the nuclear pore.

Authors:  Tim Kaminski; Jan Peter Siebrasse; Ulrich Kubitscheck
Journal:  Nucleus       Date:  2013-01-01       Impact factor: 4.197

8.  A kinetic model identifies phosphorylated estrogen receptor-α (ERα) as a critical regulator of ERα dynamics in breast cancer.

Authors:  Dan Tian; Natalia M Solodin; Prashant Rajbhandari; Kelsi Bjorklund; Elaine T Alarid; Pamela K Kreeger
Journal:  FASEB J       Date:  2015-02-03       Impact factor: 5.191

9.  Genome-wide identification of binding sites defines distinct functions for Caenorhabditis elegans PHA-4/FOXA in development and environmental response.

Authors:  Mei Zhong; Wei Niu; Zhi John Lu; Mihail Sarov; John I Murray; Judith Janette; Debasish Raha; Karyn L Sheaffer; Hugo Y K Lam; Elicia Preston; Cindie Slightham; LaDeana W Hillier; Trisha Brock; Ashish Agarwal; Raymond Auerbach; Anthony A Hyman; Mark Gerstein; Susan E Mango; Stuart K Kim; Robert H Waterston; Valerie Reinke; Michael Snyder
Journal:  PLoS Genet       Date:  2010-02-19       Impact factor: 5.917

10.  Monte Carlo analysis of an ODE Model of the Sea Urchin Endomesoderm Network.

Authors:  Clemens Kühn; Christoph Wierling; Alexander Kühn; Edda Klipp; Georgia Panopoulou; Hans Lehrach; Albert J Poustka
Journal:  BMC Syst Biol       Date:  2009-08-23
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