Project description:We have identified the protein binders of functionally distinct promoters from the Drosophila melanogaster genome using nuclear extracts prepared from Schneider S2 cells
Project description:In order to identify interaction partner of the Drosophila melanogaster TFIIA protein, we have immunoprecipitated an endogenously 3xFLAG-AID tagged TFIIA-L from Drosophila Schneider S2 cells
Project description:Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) was carried out on wild-type Schneider (S2) cells using specific MLE antibodies to identify binding sites for MLE in the Drosophila genome
Project description:Understanding the genotype-phenotype map and how variation at different levels of biological organization is associated are central topics in modern biology. Fast developments in sequencing technologies and other molecular omic tools enable researchers to obtain detailed information on variation at DNA level and on intermediate endophenotypes, such as RNA, proteins and metabolites. This can facilitate our understanding of the link between genotypes and molecular and functional organismal phenotypes. Here, we use the Drosophila melanogaster Genetic Reference Panel and nuclear magnetic resonance (NMR) metabolomics to investigate the ability of the metabolome to predict organismal phenotypes. We performed NMR metabolomics on four replicate pools of male flies from each of 170 different isogenic lines. Our results show that metabolite profiles are variable among the investigated lines and that this variation is highly heritable. Second, we identify genes associated with metabolome variation. Third, using the metabolome gave better prediction accuracies than genomic information for four of five quantitative traits analyzed. Our comprehensive characterization of population-scale diversity of metabolomes and its genetic basis illustrates that metabolites have large potential as predictors of organismal phenotypes. This finding is of great importance, e.g., in human medicine, evolutionary biology and animal and plant breeding.
Project description:We used the technology of ChIP-sequencing to analyze changes in H3K27me3 levels in Drosophila Schneider S2 depleted of endogenous Beaf32 and expressing insulator mutants ('mut-Beaf32' or 'muBeaf') as compared to control cells expressing wild-type Beaf32 (Control; 'CTL')
