Project description:We report the transcriptome profile of one sequenced sample of mRNA isolated from pooled (20 from each genotype) abdomen fly extracts enriched in fat body content of fat body-specific Sdc RNAi knockdown and control flies Abdominal fat body mRNA profiles of 4-6-day old control and fat body-specific Sdc RNAi knockdown were generated by deep sequencing using Illumina HiSeq 2500
Project description:We report the transcriptome profile of one sequenced sample of mRNA isolated from pooled (20 from each genotype) abdomen fly extracts enriched in fat body content of fat body-specific Sdc RNAi knockdown and control flies
Project description:We characterized insulin receptor (InR)-dependent gene expression in the Drosophila fat body using transgenic RNAi. Chronic knockdown of InR in the fat body was elicited via (r4-GAL4, UAS-InRi) and RNA-seq was used to identify potential target genes.
Project description:We compared four transcription factor knockdowns using transgenic RNAi expressed in the larval fat body. FOXO, Tfb1, p53, and Stat92E-dependent gene expression in the Drosophila fat body was quantified on control and high-sugar diets in order to generate expression profiles via RNA-seq. These expression data were used to build a gene regulatory network to predict novel roles for these and other genes during caloric overload.
Project description:We compared ecdysone receptor (EcR)-dependent gene expression in the Drosophila fat body on 0.15 M sucrose and 0.5 M sucrose high-sugar diets in order to gain insight into the role of this gene during caloric overload. Phenotypic analyses showed an increased severity of EcR RNAi phenotypes with increasing dietary sugar concentration. Because EcR is a transcription factor, we performed RNA-seq studies to identify transcriptional targets that might underlie insulin resistance downstream of EcR RNAi.