Danio rerio
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA263811 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1611970.fastq.gz | Fastqsanger.gz | |||
| SRR1611971.fastq.gz | Fastqsanger.gz | |||
| SRR1611972.fastq.gz | Fastqsanger.gz | |||
| SRR1611973.fastq.gz | Fastqsanger.gz | |||
| SRR1611974.fastq.gz | Fastqsanger.gz |
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Project description:Fly strains: All transgenes are P[+] in w strains. w+;+;Act 5c > CD2 > GAL4 UAS-GFP (Neufeld et al. 1998 ); y w hs-FLP122; +; UAS-dMyc (Zaffran et al. 1998 ). y w hs-FLP122; +; +. Adult flies and larvae were raised in regular fly food consisting of cornmeal and molasses at 25°C. Larvae overexpressing either UAS-regulated dMyc;GFP or GFP alone transgenes were generated using the Flp/Gal4 method (Struhl and Basler 1993 ; Pignoni and Zipursky 1997 ; Neufeld et al. 1998 ). Larvae were staged from hatching and raised at a density of 50 per vial at 25°C. Third instar larvae (110 h after egg deposition, AED) were heat shocked at 37°C for 2 h, and larvae were collected 7 h after heat shock (~120 h AED). Total RNA was isolated using TRIzol reagent (Invitrogen) as described by manufacturer followed by RNeasy (Qiagen) clear up. cRNA targets were generated using a standard amino-allyl labeling protocol, where 30 µg each of "experimental" (dMyc;GFP: hs-FLP122; Act-GAL4, UAS-GFP; UAS-dMyc) and "reference" (GFP only :ywhs-FLP122; Act-GAL4, UAS-GFP; +) total RNAs were coupled to either Cy3 or Cy5 fluorophores. Paired labeled targets were processed on microarrays using protocols described elsewhere (Fazzio et al. 2001 ). Posthybridized arrays were scanned using a GenePix 4000 scanner (Axon Instruments). Data were generated from five independent replicates (two with one dye orientation and three with the reversed dye orientation) at 7h and 14h Keywords: repeat sample
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Project description:Wild-type Drosophila melanogaster expressing nuclear GFP-KASH fusion protein in photoreceptors for cell type-specific gene expression profiling (Rh1-Gal4>UAS-GFPKASH ; Genotype = w1118;; P{w+mC=[UAS-GFP-Msp300KASH}attP2, P{ry+t7.2=rh1-GAL4}3, ry506) were raised in 12:12h light:dark cycle at 25°C. Flies were aged for 10 or 40 days post-eclosion, and eyes were harvested from male flies for global quantitative proteomic analysis. Significantly changed proteins were identified that may contribute to age-associated retinal degeneration and loss of visual function in the aging Drosophila eye.
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Project description:Purpose: To identify genes that are transcriptionally controlled by Notch signaling during zebrafish lateral line proneuromast formation. Methods: We isolated primordium cells from dissected tails of 36 hpf Tg((cldnB:GFP);Tg(cldnB:gal4) x Tg(UAS:nicd)) and sibling Tg((cldnB:GFP);Tg(cldnB:gal4)) embryos by FACS and performed RNASeq analysis. Results: Using an optimized data analysis workflow, we mapped about 26 million sequence reads per sample to the zebrafish genome (build danRer10) and identified 32,105 transcripts in the dissociated tails of WT and NICD zebrafish with TopHat workflow. Approximately 2% of the transcripts showed differential expression between the WT and NICD tails, with a fold change ≥0.5 and p value <0.01. Conclusion: RNASeq analyses revealed that Notch signaling cell-autonomously induces apical constriction and cell adhesion.
2017-01-05 | GSE86571 | GEO
Project description:Fly strains: All transgenes are P[+] in w strains. w+;+;Act 5c > CD2 > GAL4 UAS-GFP (Neufeld et al. 1998 ); y w hs-FLP122; +; UAS-dMyc (Zaffran et al. 1998 ). y w hs-FLP122; +; +. Adult flies and larvae were raised in regular fly food consisting of cornmeal and molasses at 25°C. Larvae overexpressing either UAS-regulated dMyc;GFP or GFP alone transgenes were generated using the Flp/Gal4 method (Struhl and Basler 1993 ; Pignoni and Zipursky 1997 ; Neufeld et al. 1998 ). Larvae were staged from hatching and raised at a density of 50 per vial at 25°C. Third instar larvae (110 h after egg deposition, AED) were heat shocked at 37°C for 2 h, and larvae were collected 7 h after heat shock (~120 h AED). Total RNA was isolated using TRIzol reagent (Invitrogen) as described by manufacturer followed by RNeasy (Qiagen) clear up. cRNA targets were generated using a standard amino-allyl labeling protocol, where 30 µg each of "experimental" (dMyc;GFP: hs-FLP122; Act-GAL4, UAS-GFP; UAS-dMyc) and "reference" (GFP only :ywhs-FLP122; Act-GAL4, UAS-GFP; +) total RNAs were coupled to either Cy3 or Cy5 fluorophores. Paired labeled targets were processed on microarrays using protocols described elsewhere (Fazzio et al. 2001 ). Posthybridized arrays were scanned using a GenePix 4000 scanner (Axon Instruments). Data were generated from five independent replicates (two with one dye orientation and three with the reversed dye orientation) at 7h and 14h
2010-05-27 | E-GEOD-2073 | biostudies-arrayexpress
Project description:CbtOE (Tim-gal4; UAS-cbtFLAG), Tim-gal4 (control for CbtOE), cbtRNAi (Tim-gal4-UAS-Dcr2-UAS-cbtIR-cbtE1) and Tim-gal4;UAS-Dcr2 (control for CbtRNAi) flies. Flies were entrained in LD (light: dark) condition for 3-4 days and harvested at six time points: ZT3, ZT7, ZT11, ZT15, ZT19, ZT23 Fly heads were collected, RNA was extracted and RNA-seq libraries were prepared as previously described (Engreitz et al., 2013)
2015-05-08 | GSE67590 | GEO
Project description:The sclerotome region of the somite (labelled by nkx3.1:Gal4-VP16; UAS:NTR-mCherry) gives rise to numerous fibroblasts populations in the zebrafish trunk. We performed single cell RNA sequencing (scRNA-seq) on sclerotome-derived fibroblasts from 52 hpf embryos to determine population heterogeneity and plasticity.
2023-04-18 | GSE229939 | GEO
Project description:ChIP-seq data from fkh-Gal4::UAS-rib-GFP and sage-Gal4::UAS-rib-GFP mid- through late-stage Drosophila embryos
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Project description:In the present study, we have used the zebrafish to investigate the functional role of the glucocorticoid receptor beta-isoform (GRbeta). A transgenic zebrafish line, Tg(hsp70:Gal4, UAS:EGFP-grbeta), was generated, showing heat shock-inducible expression of a GFP-tagged GRbeta. After heat shock treatment at 1 and 2 days post fertilization (dpf), 3 dpf larvae (control and transgenic) were treated with beclomethasone. A microarray study was performed to study transcriptional effects of GRbeta: its effect on transcription in the absence of beclomethasone (intrinsic transcriptional activity) and its effects on beclomethasone-induced transcriptional changes (dominant-negative activity). Although the microarray results revealed minor transcriptional effects of GRbeta expression, these data could not be validated using qPCR. It was therefore concluded that GRbeta did not show any transcriptional activity under these conditions.
2017-01-01 | GSE84906 | GEO
Project description:Purpose: To compare transcriptomic changes in 3rd instar larval eye discs following sev-GAL4 driven down- or up- regulation of hsrω lncRNAs. Method: Eye disc total RNA profiles of wandering late third instar larvae of sev-GAL4>UAS-GFP, sev-GAL4>UAS-hsrωRNAi, sev-GAL4>EP3037 were generated by sequencing, in duplicate, using Illumina Hiseq2500 platform using 50bp pair-end reads, 6 samples per lane and each sample run across 2 lanes. This resulted in a sequencing depth of ~20 million reads. The resulting sequencing FastQ files were mapped to the Drosophila genome (dm6) using Tophat with Bowtie. The aligned SAM/BAM file for each was processed for guided transcript assembly using Cufflink 2.1.1 and gene counts were determined. Mapped reads were assembled using Cufflinks. Transcripts from all samples were subjected to Cuffmerge to get final transcriptome assembly across samples. In order to ascertain differential expression of gene transcripts between different samples, Cuffdiff 2.1.1 was used (Trapnell et al., 2012). Result: Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the Drosophila genome (dm6) and identified 15,905 transcripts with TopHat workflow in each genotypes studied. The sev-GAL4 driven expression of RNAi for hsromega gene transcripts in eye discs resulted in differential expression of many genes, with 409 genes being down-regulated and 100 up-regulated, when compared with those in sev-GAL4>UAS-GFP eye discs. Compared to control eye discs in case of up regulation of hsrω RNA, 66 gene were up-regulated while 635 were down-regulated. Some of these (11 genes) were validated using qRT-PCR. Conclusion: Analysis of RNA-seq data revealed that a large proportion of transcripts were indeed similarly affected by down- or up-regulation of hsrω RNA in normal as well as activated Ras expression background. A comparison of transcriptomes of sev-GAL4>hsrωRNAi and sev-GAL4>EP3037 eye discs revealed that in each case the number of genes down regulated was more than those up-regulated. Interestingly, while 319 genes were commonly down regulated and 15 were commonly up-regulated in the two genotypes, only 2 genes showed opposing trends between sev-GAL4>UAS-hsrωRNAi and sev-GAL4>EP3037 eye discs.
2018-12-31 | GSE116476 | GEO
Project description:Purpose: While studying possible interaction between ras and hsrω genes we found that down- or up- regulation hsrω RNA levels results in further enhancement in activity hyperactive Ras protein in eye discs of Drosophila melanogaster. In order to find out reason underlying this phenomena we checked difference in gene expression between eye discs expressing activated Ras along with alterations in hsrω RNA levels and those expressing activated Ras alone. Method: Eye disc RNA profiles of wandering late third instar larvae of sev-GAL4>UAS-GFP, sev-GAL4>UAS-hsrωRNAi, sev-GAL4>EP3037, sev-GAL4>UAS-RasV12, sev-GAL4>UAS-hsrωRNAi UAS-RasV12 and sev-GAL4>EP3037 UAS-RasV12 were generated by sequencing, in triplicate, using Illumina Hiseq2500 platform using 50bp pair-end reads, 12 samples per lane and each sample run across 2 lanes. This resulted in a sequencing depth of ~20 million reads. The resulting sequencing FastQ files were mapped to the Drosophila genome (dm6) using Tophat with Bowtie. The aligned SAM/BAM file for each was processed for guided transcript assembly using Cufflink 2.1.1 and gene counts were determined. Mapped reads were assembled using Cufflinks. Transcripts from all samples were subjected to Cuffmerge to get final transcriptome assembly across samples. In order to ascertain differential expression of gene transcripts between different samples, Cuffdiff 2.1.1 was used (Trapnell et al., 2012). Result: Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the Drosophila genome (dm6) and identified 15,905 transcripts with TopHat workflow in each genotypes studied. The sev-GAL4 driven expression of activated Ras in eye discs resulted in differential expression of many genes, with 374 genes being down-regulated and 138 up-regulated, when compared with those in sev-GAL4>UAS-GFP eye discs. Compared to only Ras expressing eye discs in case of down regulation of hsrω RNA in activated Ras background 148 gene were up-regulated while 434 were down-regulated. In eye discs expressing activated Ras alongwith over expression of hsrω RNA, 192 genes were up-regulated and 470 down-regulated compared to only activated Ras expressing eye discs. Some of these (11 genes) were validated using qRT-PCR. Conclusion: In activated Ras expressing eye discs, besides the expected increase in levels of transcripts of genes involved in cell growth, proliferation and differentiation, transcripts of many genes involved in RNA biosynthesis, metabolism and processing were up-regulated when compared with sev-GAL4>UAS-GFP eye discs. Levels of transcripts of none of the known members of Ras/Raf/MAPK signaling pathway were found to be significantly affected by changes in hsrω transcript levels in activated Ras expression background. Interestingly, several sn/snoRNAs along with a scaRNAs and some members of the RNA processing machinery were differentially expressed in activated Ras background and were further affected when the hsrω RNA levels were down-or up-regulated. In addition, while down-regulation of hsrω activity resulted in up-regulation of a few positive modulators of Ras signaling pathway, up-regulation of these transcripts caused down-regulation of the negative regulators of Ras/Raf/MAPK pathway, and thus resulting in increase in Ras activity in either cases.
2018-11-30 | GSE107529 | GEO