Drosophila melanogaster
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ABSTRACT:
PROVIDER: PRJNA290334 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Drosophila midgut regional gene expression
| PRJNA207813 | ENA
Project description:Bowman-Birk Inhibitor (BBI) has both insecticidal and anti-cancerous properties. It has been hypothesized that dietary BBI slows insect growth by inhibiting the catalytic activity of digestive enzymes trypsins and chyomotrypsins, resulting in the midgut having reduced access to amino acids needed for growth. In mammals, BBI was hypothesized to influence cellular energy metabolism. Thus, we tested the hypothesis that dietary BBI also impacts energy-associated pathways in the midgut of Drosophila melanogaster. We investigated the impact of dietary BBI on the following parameters in the midguts of third-instar Drosophila larvae: (i) cellular metabolites, (ii) global transcriptome response, (iii) putative transcription factor binding sites (TFBSs) associated with the differentially expressed transcripts, and (iv) epithelial cellular structure. Dietary BBI caused: (i) a reduction of cellular DHAP, glucose, and succinate; and, (ii) increased Fructuse-6-phosphate; (ii) differential expression of genes associated with the glucose and fatty acid utilization; and, (iii) a shortening of midgut epithelial microvilli, a phenomenon previously associated with glucose starvation. Additionally, fifty seven percent of the putative TFBSs associated with the differentially expressed transcripts have previously been associated with glucose and insulin activities in mammalian studies. Collectively these results support the hypothesis that dietary BBI influences energy utilization in the Drosophila midgut. Keywords: stress response
2008-10-03 | GSE11046 | GEO
Project description:Bowman-Birk Inhibitor (BBI) has both insecticidal and anti-cancerous properties. It has been hypothesized that dietary BBI slows insect growth by inhibiting the catalytic activity of digestive enzymes trypsins and chyomotrypsins, resulting in the midgut having reduced access to amino acids needed for growth. In mammals, BBI was hypothesized to influence cellular energy metabolism. Thus, we tested the hypothesis that dietary BBI also impacts energy-associated pathways in the midgut of Drosophila melanogaster. We investigated the impact of dietary BBI on the following parameters in the midguts of third-instar Drosophila larvae: (i) cellular metabolites, (ii) global transcriptome response, (iii) putative transcription factor binding sites (TFBSs) associated with the differentially expressed transcripts, and (iv) epithelial cellular structure. Dietary BBI caused: (i) a reduction of cellular DHAP, glucose, and succinate; and, (ii) increased Fructuse-6-phosphate; (ii) differential expression of genes associated with the glucose and fatty acid utilization; and, (iii) a shortening of midgut epithelial microvilli, a phenomenon previously associated with glucose starvation. Additionally, fifty seven percent of the putative TFBSs associated with the differentially expressed transcripts have previously been associated with glucose and insulin activities in mammalian studies. Collectively these results support the hypothesis that dietary BBI influences energy utilization in the Drosophila midgut. Experiment Overall Design: Two treatments (control vs BBI-fed), and three replicates were conducted. There were total six samples. There was no dye-swap.
2008-10-26 | E-GEOD-11046 | biostudies-arrayexpress
Project description:Purpose: We isolated Drosophila midgut cells : Delta+ intestinal stem cells (ISCs), Su(H)+enteroblasts (EBs), Esg+ cells (ISC+EB), Myo1A+Enterocytes (ECs), Pros+Enteroendocrine cells (EEs) and How+Visceral muscle cells (VM) from whole midguts to identify stem cell specific genes and study cell type specificities of midgut cells. We also isolated all the cell types from the 5 major regions (R1-R5) of the Drosophila midgut to study differences in cells in different regions. Methods: 3-7 day old female flies were dissected. Flies with GFP/YFP marking different cell types (using the GAL4-UAS system) were used to separate cells of the midgut.The midguts were dissociated with Elastase and FACS sorted using FACS AriaIII. RNA was extracted, amplified and sequenced. Whole midgut samples were sequenced on Illumina GAIIX and regional cell populations were sequenced on HiSeq2000. Methods:Raw fastqc reads were mapped to the Drosophila genome (Drosophila_melanogaster.BDGP5.70.dna.toplevel.fa) using Tophat 2.0.9 at default (using boost_1_54_0, bowtie2-2.1.0, samtools-0.1.19). Methods: For differential expression analysis, DESeq (p-value adjustment 0.05 by method Benjamini-Hochberg) was used. The reads were normalized also to Reads per kilobase of transcript per million mapped reads (RPKM). Results: More than 50% of the genome is expressed in the adult midgut (FlyAtlas- Chintapalli et al., 2007), of these genes about 50% (2457) were differentially expressed (DE) between all 4 cell types (ISCs, EBs, ECs and EEs) atleast 2 folds with 95% confidence Results: 159 genes that were specifically enriched in ISCs, 509 genes were specifically repressed in ISCs Conclusions: Our study represents the first detailed analysis of Drosophila intestinal cell transcriptomes, with biologic replicates, generated by RNA-seq technology.Our data facilitates comparative investigations of expression profiles of cells and reveals novel stem cell genes. Further region specific profiling adds precision to the analysis of variances in the midgut regions. We identify transcriptional regulators and regional transcription factors which modulate the midgut physiology. The dataset will be a great resource for hypothesis generation, tool building and fine tuned studies on the Drosophila midgut.
2015-05-23 | GSE61361 | GEO
Project description:Purpose: We isolated Drosophila midgut cells : Delta+ intestinal stem cells (ISCs), Su(H)+enteroblasts (EBs), Esg+ cells (ISC+EB), Myo1A+Enterocytes (ECs), Pros+Enteroendocrine cells (EEs) and How+Visceral muscle cells (VM) from whole midguts to identify stem cell specific genes and study cell type specificities of midgut cells. We also isolated all the cell types from the 5 major regions (R1-R5) of the Drosophila midgut to study differences in cells in different regions. Methods: 3-7 day old female flies were dissected. Flies with GFP/YFP marking different cell types (using the GAL4-UAS system) were used to separate cells of the midgut.The midguts were dissociated with Elastase and FACS sorted using FACS AriaIII. RNA was extracted, amplified and sequenced. Whole midgut samples were sequenced on Illumina GAIIX and regional cell populations were sequenced on HiSeq2000. Methods:Raw fastqc reads were mapped to the Drosophila genome (Drosophila_melanogaster.BDGP5.70.dna.toplevel.fa) using Tophat 2.0.9 at default (using boost_1_54_0, bowtie2-2.1.0, samtools-0.1.19). Methods: For differential expression analysis, DESeq (p-value adjustment 0.05 by method Benjamini-Hochberg) was used. The reads were normalized also to Reads per kilobase of transcript per million mapped reads (RPKM). Results: More than 50% of the genome is expressed in the adult midgut (FlyAtlas- Chintapalli et al., 2007), of these genes about 50% (2457) were differentially expressed (DE) between all 4 cell types (ISCs, EBs, ECs and EEs) atleast 2 folds with 95% confidence Results: 159 genes that were specifically enriched in ISCs, 509 genes were specifically repressed in ISCs Conclusions: Our study represents the first detailed analysis of Drosophila intestinal cell transcriptomes, with biologic replicates, generated by RNA-seq technology.Our data facilitates comparative investigations of expression profiles of cells and reveals novel stem cell genes. Further region specific profiling adds precision to the analysis of variances in the midgut regions. We identify transcriptional regulators and regional transcription factors which modulate the midgut physiology. The dataset will be a great resource for hypothesis generation, tool building and fine tuned studies on the Drosophila midgut. mRNA profiles of Drosophila intestinal cells from whole midguts and midgut regions were generated by Deep Sequencing. Whole midgut profiles were generated in triplicates (Illumina GAIIx, 72 bp read length) and regional cell type profiles were genrated in duplicates (HiSeq 2000, 50bp read length).
2015-05-23 | E-GEOD-61361 | biostudies-arrayexpress
Project description:Profiling of Esg genomic binding in the Drosophila midgut with DamID
| PRJNA238949 | ENA
Project description:Whole genome expression analysis in the third-instar larval midgut of Drosophila melanogaster
| PRJNA147279 | ENA
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling (RNA-seq) of intestinal progenitor cells in Drosophila wild type and Sc overexpressed midgut. Methods: mRNA profiles of intestinal progenitor cells isolated from 2-day-old wild-type (Ctrl) and Sc overexpressed(ScOE) Drosophila midgut were generated by deep sequencing using Illumina HiSeq 4000. Results:
2018-02-02 | GSE102569 | GEO