Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA99749 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Absolute (molar) quantification determines proteins stoichiometry in complexes, networks and metabolic pathways. We employed MS Western workflow to determine molar abundances of proteins critical for morphogenesis and phototransduction (PT) in eyes of Drosophila melanogaster using a single chimeric 264 kDa protein standard that covers, in total, 197 peptides from 43 proteins. Each protein was independently quantified with 2 to 4 proteotypic peptides with the coefficient of variation of less than 15 %, better than 1000-fold dynamic range and sub-femtomole sensitivity. We determined molar abundances and stoichiometric ratios of the components of the PT machinery and the rhabdomere, and how they are changing when rhabdomere morphogenesis is perturbed by genetic manipulation of the evolutionary conserved gene crumbs (crb).
2020-07-19 | PXD018001 | Pride
Project description:We demonstrate that the cell cycle regulators, E2f /Dp and Rb, control the transcription of ribosomal proteins (RP) in Drosophila embryos. Mutation of E2f1 or Dp and over expression of Rbf1 increase and reduce RP transcription, respectively. Although E2f/Dp/Rb might exert this effect through a repressor complex, the regulatory regions of RP genes do not show an enrichment of canonical E2f binding sites. In addition, E2f1, Dp and Rbf1 also regulate the expression of RACK1, a ribosomal component and a negative regulator of cell cycle progression. These findings strengthen the coupling of cell cycle regulation to protein biosynthesis. Keywords: genotype response
2008-04-27 | GSE7655 | GEO
Project description:The Drosophila melanogaster Genetic Reference Panel
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Project description:We demonstrate that the cell cycle regulators, E2f /Dp and Rb, control the transcription of ribosomal proteins (RP) in Drosophila embryos. Mutation of E2f1 or Dp and over expression of Rbf1 increase and reduce RP transcription, respectively. Although E2f/Dp/Rb might exert this effect through a repressor complex, the regulatory regions of RP genes do not show an enrichment of canonical E2f binding sites. In addition, E2f1, Dp and Rbf1 also regulate the expression of RACK1, a ribosomal component and a negative regulator of cell cycle progression. These findings strengthen the coupling of cell cycle regulation to protein biosynthesis. Experiment Overall Design: Our study examines the genomic response of intact Drosophila embryos to the genetic manipulation of E2F/Rb pathway molecules. For over-expression experiments, Arm-Gal4 stocks were crossed to UAS-gene stocks for the following genes: E2f1/Dp, E2f2/Dp, Rbf1, and E2f1336-805 (a dominant negative form of E2f1 lacking the DNA binding domain) [16]. The E2f17172 and E2f191 null alleles were balanced by TM3[Kr-GFP]. Dpa2 and Dpa4 null alleles were balanced by CyO[Kr-GFP]. 14-16 hr E2f17172/E2f191 null mutant embryos were hand selected based on the absence of fluorescent Bolwigâs organs in Kr-GFP balanced stocks using a Zeiss stereomicroscope equipped with epifluorescence. E2f17172/E2f191 and Dpa2/Dpa4 null mutant embryos (8-10h) were selected using the COPASTM SELECT system for automated sorting of multi-cellular organisms. Eighteen RNA samples, two from each cross, were obtained from approximately 200 to 700 embryos per sample. For each cross, 2 h embryo collections were aged for 8 to 14 h at 25oC, quick frozen in an ethanol/dry ice mixture, and stored at -80 oC. The RNA was prepared for microarray analysis in accordance with Affymetrix instructions.
2008-06-15 | E-GEOD-7655 | biostudies-arrayexpress
Project description:Expression data from drosophila melanogaster
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Project description:To verify unannotated translated open reading frames (utORFs) identified from Drosophila melanogaster, we collected data to target them.
2022-04-06 | PXD032197 | Pride
Project description:Genetic basis of transcriptome diversity in Drosophila melanogaster
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Project description:Proteomic Analysis (MS/MS) of Drosophila melanogaster mtx2 (Ortholog of CG8004) Heterozygous versus Homozygous Mutants at 2 Days Post-Pupa Formation
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Project description:<p>Aging is a complex biological process influenced by genetic factors, environmental conditions, and interactions between organisms and their associated microbes. The budding yeast Saccharomyces cerevisiae and the fruit fly Drosophila melanogaster provide complementary model systems for investigating conserved metabolic processes associated with aging and longevity. However, comprehensive metabolomic resources describing how aging-associated microbial genetic alterations influence host metabolic states remain limited.</p><p>In this study, we generated a comprehensive untargeted metabolomics dataset to characterize metabolic alterations associated with aging-related S. cerevisiae deletion strains and their interactions with the D. melanogaster host. The dataset includes liquid chromatography–mass spectrometry (LC–MS)-based metabolomic profiles from 15 yeast strains, including the BY4743 control strain and 14 aging-associated deletion strains, as well as host metabolomic profiles from Drosophila tissues exposed to different yeast interventions. Host samples include intestinal and non-intestinal tissues collected at different life stages, enabling assessment of tissue-specific and age-associated metabolic responses to yeast genetic perturbations.</p><p>The generated dataset contains raw and processed metabolomics data, metabolite annotation information, and comprehensive sample metadata describing biological conditions, genetic backgrounds, tissue sources, intervention groups, and experimental parameters. These data provide a reusable resource for studying yeast-derived metabolic regulation, microbe–host interactions, and age-associated metabolic remodeling.</p><p>This metabolomics resource facilitates integrative analyses of microbial genetic variation, host metabolic adaptation, and conserved aging-related pathways, and supports future investigations into the molecular connections between microbial factors and host physiology.</p>
2026-09-04 | MTBLS15555 | MetaboLights