Literature DB >> 16750631

Computational models for neurogenic gene expression in the Drosophila embryo.

Robert P Zinzen1, Kate Senger, Mike Levine, Dmitri Papatsenko.   

Abstract

The early Drosophila embryo is emerging as a premiere model system for the computational analysis of gene regulation in development because most of the genes, and many of the associated regulatory DNAs, that control segmentation and gastrulation are known. The comprehensive elucidation of Drosophila gene networks provides an unprecedented opportunity to apply quantitative models to metazoan enhancers that govern complex patterns of gene expression during development. Models based on the fractional occupancy of defined DNA binding sites have been used to describe the regulation of the lac operon in E. coli and the lysis/lysogeny switch of phage lambda. Here, we apply similar models to enhancers regulated by the Dorsal gradient in the ventral neurogenic ectoderm (vNE) of the early Drosophila embryo. Quantitative models based on the fractional occupancy of Dorsal, Twist, and Snail binding sites raise the possibility that cooperative interactions among these regulatory proteins mediate subtle differences in the vNE expression patterns. Variations in cooperativity may be attributed to differences in the detailed linkage of Dorsal, Twist, and Snail binding sites in vNE enhancers. We propose that binding site occupancy is the key rate-limiting step for establishing localized patterns of gene expression in the early Drosophila embryo.

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Year:  2006        PMID: 16750631     DOI: 10.1016/j.cub.2006.05.044

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  90 in total

1.  Evolutionary origins of transcription factor binding site clusters.

Authors:  Xin He; Thyago S P C Duque; Saurabh Sinha
Journal:  Mol Biol Evol       Date:  2011-11-10       Impact factor: 16.240

2.  Quantitatively predictable control of Drosophila transcriptional enhancers in vivo with engineered transcription factors.

Authors:  Justin Crocker; Garth R Ilsley; David L Stern
Journal:  Nat Genet       Date:  2016-02-08       Impact factor: 38.330

3.  Whole-genome ChIP-chip analysis of Dorsal, Twist, and Snail suggests integration of diverse patterning processes in the Drosophila embryo.

Authors:  Julia Zeitlinger; Robert P Zinzen; Alexander Stark; Manolis Kellis; Hailan Zhang; Richard A Young; Michael Levine
Journal:  Genes Dev       Date:  2007-02-15       Impact factor: 11.361

Review 4.  How the Dorsal gradient works: insights from postgenome technologies.

Authors:  Joung-Woo Hong; David A Hendrix; Dmitri Papatsenko; Michael S Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-22       Impact factor: 11.205

Review 5.  Analytic approaches to stochastic gene expression in multicellular systems.

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

6.  Quantitative imaging of the Dorsal nuclear gradient reveals limitations to threshold-dependent patterning in Drosophila.

Authors:  Louisa M Liberman; Gregory T Reeves; Angelike Stathopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-16       Impact factor: 11.205

7.  Feedback control of the EGFR signaling gradient: superposition of domain-splitting events in Drosophila oogenesis.

Authors:  Jeremiah J Zartman; Jitendra S Kanodia; Lily S Cheung; Stanislav Y Shvartsman
Journal:  Development       Date:  2009-07-29       Impact factor: 6.868

8.  Conservation of enhancer location in divergent insects.

Authors:  Jessica Cande; Yury Goltsev; Michael S Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-03       Impact factor: 11.205

9.  Combinatorial binding predicts spatio-temporal cis-regulatory activity.

Authors:  Robert P Zinzen; Charles Girardot; Julien Gagneur; Martina Braun; Eileen E M Furlong
Journal:  Nature       Date:  2009-11-05       Impact factor: 49.962

10.  Dual regulation by the Hunchback gradient in the Drosophila embryo.

Authors:  Dmitri Papatsenko; Michael S Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-19       Impact factor: 11.205

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