The role of Dichaete in transcriptional regulation during Drosophila embryonic development
type: CreativeWork
description: Sox domain genes encode a family of developmentally important transcription factors conserved throughout the Metazoa. The subgroup B, which includes the mammalian Sox1, 2 and 3 proteins and their Drosophila counterparts Dichaete and SoxNeuro, are particularly important for the development of the nervous system where they appear to play conserved roles in neuronal specification and differentiation. Despite years of detailed study we still have a relatively poor idea of how Sox proteins function on a genome wide scale and the aim of my PhD work was to explore this aspect using the fly group B protein, Dichaete. A number of studies have shown that Dichaete performs a variety of critical functions during development and a few individual regulatory targets have been defined, however, at the start of my work no genome-wide data on Dichaete action were available. While such data emerged from large scale initiatives during my work, a systematic analysis of Dichaete action was lacking. Here I describe the first detailed genomic analysis of Dichaete activity, with a particular focus on three areas: finding the locations of Dichaete binding in the genome, a prediction of potential Dichaete cofactors and an analysis of Dichaete effects on gene expression. To address the issue of where Dichaete binds in the genome, I generated whole genome DamID data for embryos and followed this with a detailed comparative analysis, combining my data with three newly published ChIP-chip datasets. The combined studies identify thousands of binding regions, mostly in the vicinity of developmentally important genes. The binding profiles were found to be consistent with Dichaete acting on enhancer regions and also suggest a role in facilitating RNA Polymerase II pausing. The analysis also identified a Dichaete binding motif closely matching that found with in vitro studies. By combined ChIP and DamID datasets I generated a very high confidence core Dichaete binding dataset, which should be of consi…
abstract: Sox domain genes encode a family of developmentally important transcription factors conserved throughout the Metazoa. The subgroup B, which includes the mammalian Sox1, 2 and 3 proteins and their Drosophila counterparts Dichaete and SoxNeuro, are particularly important for the development of the nervous system where they appear to play conserved roles in neuronal specification and differentiation. Despite years of detailed study we still have a relatively poor idea of how Sox proteins function on a genome wide scale and the aim of my PhD work was to explore this aspect using the fly group B protein, Dichaete. A number of studies have shown that Dichaete performs a variety of critical functions during development and a few individual regulatory targets have been defined, however, at the start of my work no genome-wide data on Dichaete action were available. While such data emerged from large scale initiatives during my work, a systematic analysis of Dichaete action was lacking. Here I describe the first detailed genomic analysis of Dichaete activity, with a particular focus on three areas: finding the locations of Dichaete binding in the genome, a prediction of potential Dichaete cofactors and an analysis of Dichaete effects on gene expression. To address the issue of where Dichaete binds in the genome, I generated whole genome DamID data for embryos and followed this with a detailed comparative analysis, combining my data with three newly published ChIP-chip datasets. The combined studies identify thousands of binding regions, mostly in the vicinity of developmentally important genes. The binding profiles were found to be consistent with Dichaete acting on enhancer regions and also suggest a role in facilitating RNA Polymerase II pausing. The analysis also identified a Dichaete binding motif closely matching that found with in vitro studies. By combined ChIP and DamID datasets I generated a very high confidence core Dichaete binding dataset, which should be of consi…
author: Aleksic, Jelena
language: eng
keywords: Drosophila, Genomics, Transcription, Development
license: https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/05ddfbcd-1bc5-4208-8a6b-5e9ef316319a/download
license: http://creativecommons.org/licenses/by-nc-sa/2.0/uk/
date published: 2012-07-03
date modified: 2026-07-22T22:24:11Z
provider: Cambridge University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Cambridge

PropertyValue
property ID: DOI
value: 10.17863/CAM.16330