Literature DB >> 23290311

Drosophila blastoderm patterning.

Johannes Jaeger1, John Reinitz.   

Abstract

The Drosophila blastoderm embryo is a classic model for the study of the genetics of pattern formation. In recent years, quantitative empirical approaches have been employed extensively in the study of blastoderm pattern formation. This quantitative work has enabled the development of a number of data-driven computational models. More than in other systems, these models have been experimentally validated, and have informed new empirical work. They have led to insights into the establishment of morphogen gradients, the interpretation and transduction of positional information by downstream transcriptional networks, and the mechanisms by which spatial scaling and robustness of gene expression are achieved. Here we review the latest developments in the field.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23290311     DOI: 10.1016/j.gde.2012.10.005

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


  27 in total

1.  Quantitative analysis reveals genotype- and domain- specific differences between mRNA and protein expression of segmentation genes in Drosophila.

Authors:  Svetlana Surkova; Alena Sokolkova; Konstantin Kozlov; Sergey V Nuzhdin; Maria Samsonova
Journal:  Dev Biol       Date:  2019-01-07       Impact factor: 3.582

2.  Investigation of genes important in neurodevelopment disorders in adult human brain.

Authors:  Gilles Maussion; Alpha B Diallo; Carolina O Gigek; Elizabeth S Chen; Liam Crapper; Jean-Francois Théroux; Gary G Chen; Cristina Vasuta; Carl Ernst
Journal:  Hum Genet       Date:  2015-07-21       Impact factor: 4.132

3.  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

Review 4.  Dissipative structures in biological systems: bistability, oscillations, spatial patterns and waves.

Authors:  Albert Goldbeter
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-07-28       Impact factor: 4.226

Review 5.  Transition states and cell fate decisions in epigenetic landscapes.

Authors:  Naomi Moris; Cristina Pina; Alfonso Martinez Arias
Journal:  Nat Rev Genet       Date:  2016-09-12       Impact factor: 53.242

6.  Modulation of temporal dynamics of gene transcription by activator potency in the Drosophila embryo.

Authors:  Junbo Liu; Jun Ma
Journal:  Development       Date:  2015-09-22       Impact factor: 6.868

7.  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

8.  A method of permeabilization of Drosophila embryos for assays of small molecule activity.

Authors:  Matthew D Rand
Journal:  J Vis Exp       Date:  2014-07-13       Impact factor: 1.355

9.  Time to move on: Modeling transcription dynamics during an embryonic transition away from maternal control.

Authors:  Junbo Liu; Yanyu Xiao; Tongli Zhang; Jun Ma
Journal:  Fly (Austin)       Date:  2016-05-12       Impact factor: 2.160

10.  Adaptation of the length scale and amplitude of the Bicoid gradient profile to achieve robust patterning in abnormally large Drosophila melanogaster embryos.

Authors:  David Cheung; Cecelia Miles; Martin Kreitman; Jun Ma
Journal:  Development       Date:  2013-11-27       Impact factor: 6.868

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.