Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA305904 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2994000_1.fastq.gz | Fastqsanger.gz | |||
| SRR2994000_2.fastq.gz | Fastqsanger.gz | |||
| SRR2994010_1.fastq.gz | Fastqsanger.gz | |||
| SRR2994010_2.fastq.gz | Fastqsanger.gz | |||
| SRR2994020_1.fastq.gz | Fastqsanger.gz |
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Project description:Sensory neuron diversity is required for organisms to decipher complex environmental cues. In Drosophila, olfactory environment is detected by 50 different olfactory receptor neuron (ORN) classes that are clustered in combinations within distinct sensilla subtypes. Each sensilla subtype houses stereotypically clustered 1-4 ORN identities that arise through asymmetric divisions from a single multipotent sensory organ precursor (SOP). How each class of SOPs acquires a unique differentiation potential that accounts for ORN diversity is unknown. Previously, we reported a critical component of SOP diversification program, Rotund (Rn), which functions to increase ORN diversity by generating novel developmental trajectories from existing precursors within each independent sensilla type lineages. Here, we show that Rn, along with BarH1/H2, Bric-Ã -brac (Bab), Apterous (Ap) and Dachshund (Dac), constitute a functionally conserved transcription factor (TF) network, previously shown to pattern the segmentation of the leg, that patterns the developing olfactory tissue. Precursors with diverse ORN differentiation potentials are selected from concentric rings defined by unique combinations of these TFs along the proximodistal axis of the developing antennal disc. The combinatorial code that demarcates each precursor field is set up by cross-regulatory interactions among different factors within the network. Modifications of this network lead to predictable changes in the diversity of sensilla subtypes and ORN pools. In light of our data, we propose a molecular map that defines Time-course RNAseq across 4 developmental stages, inlcuding flies mutant for rotund gene (rn), heterozygotes and wildtype
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Project description:Sensory neuron diversity is required for organisms to decipher complex environmental cues. In Drosophila, olfactory environment is detected by 50 different olfactory receptor neuron (ORN) classes that are clustered in combinations within distinct sensilla subtypes. Each sensilla subtype houses stereotypically clustered 1-4 ORN identities that arise through asymmetric divisions from a single multipotent sensory organ precursor (SOP). How each class of SOPs acquires a unique differentiation potential that accounts for ORN diversity is unknown. Previously, we reported a critical component of SOP diversification program, Rotund (Rn), which functions to increase ORN diversity by generating novel developmental trajectories from existing precursors within each independent sensilla type lineages. Here, we show that Rn, along with BarH1/H2, Bric-à-brac (Bab), Apterous (Ap) and Dachshund (Dac), constitute a functionally conserved transcription factor (TF) network, previously shown to pattern the segmentation of the leg, that patterns the developing olfactory tissue. Precursors with diverse ORN differentiation potentials are selected from concentric rings defined by unique combinations of these TFs along the proximodistal axis of the developing antennal disc. The combinatorial code that demarcates each precursor field is set up by cross-regulatory interactions among different factors within the network. Modifications of this network lead to predictable changes in the diversity of sensilla subtypes and ORN pools. In light of our data, we propose a molecular map that defines
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Project description:This project’s aim was to compare the transcriptional profiles of olfactory sensory neurons in Drosophila melanogaster in order to identify novel genes that specify neuron-specific functions/phenotypes or may otherwise be involved in the development of the olfactory system. The isolation of sufficient numbers of intact olfactory sensory neurons (OSN) from the antenna of Drosophila melanogaster has so far limited single-cell transcriptomic approaches being applied to the adult fly antenna. Targeted DamID (TaDa) provides an alternative approach for profiling transcriptional activity in a cell-specific manor that bypasses the need for isolating OSN. Using the Gal4/UAS system, we applied TaDa to seven OSN populations and compared differences in Pol II occupancy for genes across these datasets.
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