SOP/pI vs. Epithelial cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Drosophila melanogaster
PROVIDER: GSE18615 | GEO | 2010/02/19
SECONDARY ACCESSION(S): PRJNA121445
REPOSITORIES: GEO
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Project description:RNA profiling of Drosophila sensory organs precursor cells (SOP/pI) compared with neighbouring epithelial cells. Two-condition experiment, SOP/pI vs. epithelial cells from animals at similar developmental age.
2010-06-24 | E-GEOD-18615 | biostudies-arrayexpress
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
2015-12-16 | E-GEOD-75986 | biostudies-arrayexpress
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
2015-12-16 | GSE75986 | GEO
Project description:Fourteen days plants growth under hydroponic +P condition (200 µM) were treated with +P(200µM) or –P (no phosphate) for another 7 days, shoot of plants from 3 biological repeats were sampled for Affymetrix microarray analysis. We used microarrays to detail the global programme of gene expression underlying +Pi and -Pi condition between WT and spx1spx2 double mutant.
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Project description:A subset of post-infection irritable bowel syndrome (PI-IBS) patients have elevated, or high fecal proteolytic activity (PA). Fecal PA has been shown to correlate with increased symptom severity as well as lower quality of life scores, increased fecal output and increased intestinal permeability. To address the underlying mechanisms of barrier disruption as a consequence of high fecal PA, colonic biopsies were collected from healthy individuals PI-IBS patients (n=11). Individuals diagnosed with PI-IBS were further divided in to 2 subgroups, high PA and low PA as defined by the PA in matched fecal samples. RNA was extracted from the biopsies for bulk RNA sequencing to understand transcriptional differences between healthy and high PA PI-IBS patients as well as high PA and Low PA PI-IBS patients.
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Project description:Fourteen days plants growth under hydroponic +P condition (200 µM) were treated with +P(200µM) or –P (no phosphate) for another 7 days, shoot of plants from 3 biological repeats were sampled for Affymetrix microarray analysis. We used microarrays to detail the global programme of gene expression underlying +Pi and -Pi condition between WT and spx1spx2 double mutant. Fourteen days plants growth under hydroponic +P condition (200 µM) were treated with +P(200µM) or –P (no phosphate) for another 7 days, shoot of plants from 3 biological repeats were sampled for Affymetrix microarray analysis.
2014-10-03 | E-GEOD-60823 | biostudies-arrayexpress
Project description:To identify genes regulated by AP3/PI, we carried out microarray experiments using an Arabidopsis whole genome GeneChip array (ATH1 GeneChip, Affymetrix, Santa Clara, CA) in conjunction with an inducible AP3-GR system. For these experiments, we used 35S::AP3-GR transgenic plants in a 35S::PI, ap3-3 null mutant background for various dex or mock treatments. RNA was extracted from inflorescences at 0 and 4 hours after dex or a mock treatment and used as probes for our microarray experiments. Three biological replicates of each were hybridized to Affymetrix ATH1 arrays. We used the Affymetrix Microarray Suite software (MAS) to identify genes whose expression profiles changed only after dex-treatment and are likely targets of AP3/PI. Keywords: time course
2007-11-28 | GSE9702 | GEO
Project description:Single-cell RNAsequencing of Drosophila PI Circadian Output Cells
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