Project description:We conducted RNA-seq analysis to identify genes that are differentially expressed in H3K27M and H3K36M oncohistones compared to wt and control eye tissue (eye discs), followed by smRNA-seq profiling based on our results and to confirm upregulation of piRNAs
Project description:Raw data from E-MTAB-1585 was normalized by using reads per million. https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1585/ Strand specific RNA-Seq data E-MTAB-1585 was normalized and subtracted control from knockdown to generate tracks that more clearly displayed the unusual pattern of RNA expression caused by knockdown of 7SK. The following wig files were generated from multiple samples (i.e.raw data files), as indicated in the 'readme.txt' file. 7sk_3p_KD_norm.wig: 7SK 3P Knockdown normalized 7sk_3p_KDF_norm.wig: 7SK 3P Knockdown normalized (Forward) 7sk_3p_KDR_norm.wig: 7SK 3P Knockdown normalized (Reverse) 7sk_5p_KD_norm.wig: 7SK 5P Knockdown normalized 7sk_5p_KDF_norm.wig: 7SK 5P Knockdown normalized (Forward) 7sk_5p_KDR_norm.wig: 7SK 5P Knockdown normalized (Reverse) 7sk_Control_norm.wig: 7SK Control normalized 7sk_ControlF_norm.wig: 7SK Control normalized (Forward) 7sk_ControlR_norm.wig: 7SK Control normalized (Reverse) 7sk_3p_KDF-ControlF.wig: 7SK 3P Knockdown-Control (Forward) 7sk_3p_KDR-ControlR.wig: 7SK 3P Knockdown-Control (Reverse) 7sk_5p_KDF-ControlF.wig: 7SK 5P Knockdown-Control (Forward) 7sk_5p_KDR-ControlR.wig: 7SK 5P Knockdown-Control (Reverse)
Project description:This project aims to explore a new system for genetic control of dibenzothiophene desulfurization in Gordonia alkanivorans strain 135 using integrated omics approaches. A quantitative protomics, RNA-Seq analysis was performed. RNA-seq results were further validated using qRT-PCR for differentially expressed genes.
Project description:We report genome-wide binding of the highly conserved TF Sine oculis (So), which is necessary for Drosophila eye development and has few previously known direct transcriptional targets. Our data identify novel putative targets of So-mediated regulation, including genes involved in multiple aspects of development. 2 biological replicates of ChIP-seq with anti-So antibody on chromatin from D. melanogaster third instar eye-antennal imaginal discs; negative control - same sample and ChIP-seq protocol without anti-So antibody
Project description:Genome control is operated by transcription factors (TF) controlling their target genes by binding to promoters and enhancers. Conceptually, the interactions between TFs, their binding sites, and their functional targets are represented by gene regulatory networks (GRN). Deciphering in vivo GRNs underlying organ development in an unbiased genome-wide setting involves identifying both functional TF-gene interactions and physical TF-DNA interactions. To reverse-engineer the GRN of eye development in Drosophila, we performed RNA-seq across 72 genetic perturbations and sorted cell types, and inferred a co-expression network. Next, we derived direct TF-DNA interactions using computational motif inference, ultimately connecting 241 TFs to 5632 direct target genes through 24926 enhancers. Using this network we found network motifs, cis-regulatory codes, and new regulators of eye development. We validate the predicted target regions of Grainyhead by ChIP-seq and identify this factor as a general co-factor in the eye network, being bound to thousands of nucleosome-free regions.
Project description:<p>Gene expression is a biological process regulated at different molecular levels, including chromatin accessibility, transcription, and RNA maturation and transport. In addition, these regulatory mechanisms have strong links with cellular metabolism. Here we present a multi-omics dataset that captures different aspects of this multi-layered process in yeast. We obtained RNA-seq, metabolomics, and H4K12Ac ChIP-seq data for wild-type and mip6delta strains during a heat-shock time course. Mip6 is an RNA-binding protein that contributes to RNA export during environmental stress and is informative of the contribution of post-transcriptional regulation to control cellular adaptations to environmental changes. The experiment was performed in quadruplicate, and the different omics measurements were obtained from the same biological samples, which facilitates the integration and analysis of data using covariance-based methods. We validate our dataset by showing that ChIP-seq, RNA-seq and metabolomics signals recapitulate existing knowledge about the response of ribosomal genes and the contribution of trehalose metabolism to heat stress.</p>
Project description:Genomic enhancers regulate spatio-temporal gene expression by recruiting specific combinations of transcription factors (TFs). When TFs are bound to active regulatory regions, they displace canonical nucleosomes, making these regions biochemically detectable as nucleosome-depleted regions or accessible/open chromatin. Here we ask whether open chromatin profiling can be used to identify the entire repertoire of active promoters and enhancers underlying tissue-specific gene expression during normal development and oncogenesis in vivo. To this end, we first compare two different approaches to detect open chromatin in vivo using the Drosophila eye primordium as a model system: FAIRE-seq, based on physical separation of open versus closed chromatin; and ATAC-seq, based on preferential integration of a transposon into open chromatin. We find that both methods reproducibly capture the tissue-specific chromatin activity of regulatory regions, including promoters, enhancers, and insulators. Using both techniques, we screened for regulatory regions that become ectopically active during Ras-dependent oncogenesis, and identified 3778 regions that become (over-)activated during tumor development. Next, we applied motif discovery to search for candidate transcription factors that could bind these regions and identified AP-1 and Stat92E as key regulators. We validated the importance of Stat92E in the development of the tumors by introducing a loss of function Stat92E mutant, which was sufficient to rescue the tumor phenotype. Additionally we tested if the predicted Stat92E responsive regulatory regions are genuine, using ectopic induction of JAK/STAT signaling in developing eye discs, and observed that similar chromatin changes indeed occurred. Finally, we determine that these are functionally significant regulatory changes, as nearby target genes are up- or down-regulated. In conclusion, we show that FAIRE-seq and ATAC-seq based open chromatin profiling, combined with motif discovery, is a straightforward approach to identify functional genomic regulatory regions, master regulators, and gene regulatory networks controlling complex in vivo processes. FAIRE-Seq in Drosophila wild type eye-antennal imaginal discs (2 wt strains); ATAC-Seq in Drosophila wild type eye-antennal imaginal discs (3 wt strains) ; FAIRE-Seq in Drosophila Ras/Scrib induced eye disc tumors (1 early and 1 late); ATAC-Seq in Drosophila Ras/Scrib induced eye disc tumors (1 early and 1 late); ATAC-Seq in Drosophila eye discs with Unpaired over-expression (2 biological replicates); CTCF ChIP-seq in Drosophila eye discs; ChIP-seq input in Drosophila eye discs